Introduction to LTE Advanced Pro. LTE Advanced Pro is a rich roadmap of technologies that will be introduced as part of the global 3GPP standard starting with Release 13 and beyond.
Propelling 5G forward: a closer look at 3GPP Release-16Qualcomm Research
This presentation summarizes the 3GPP 5G NR Release 16 projects, including eMBB enhancements, unlicensed, sidelink, IAB, TSN, eURLLC, private networks, C-V2X, and more...
http://www.ericsson.com
Each decade since mobile communication was introduced in the 1980s, has brought with it a new generation of systems and technologies. The next evolution, 5G radio access, is set for commercialization around 2020, and will deliver 5G services in an environment that is shaping up to be a significant challenge.
5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes.
In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers.
Download this presentation to learn:
• What NR-Light is and why it can herald the next wave of 5G expansion
• How NR-Light is accelerating the growth of the connected intelligent edge
• Why NR-Light is a suitable 5G migration path for mid-tier LTE devices
This presentation outlines the synergistic nature of 5G and AI -- two disruptive areas of innovations that can change the world. It illustrates the benefits of adopting AI for the advancements of 5G, as well as showcases the latest progress made by Qualcomm Technologies, Inc.
Propelling 5G forward: a closer look at 3GPP Release-16Qualcomm Research
This presentation summarizes the 3GPP 5G NR Release 16 projects, including eMBB enhancements, unlicensed, sidelink, IAB, TSN, eURLLC, private networks, C-V2X, and more...
http://www.ericsson.com
Each decade since mobile communication was introduced in the 1980s, has brought with it a new generation of systems and technologies. The next evolution, 5G radio access, is set for commercialization around 2020, and will deliver 5G services in an environment that is shaping up to be a significant challenge.
5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes.
In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers.
Download this presentation to learn:
• What NR-Light is and why it can herald the next wave of 5G expansion
• How NR-Light is accelerating the growth of the connected intelligent edge
• Why NR-Light is a suitable 5G migration path for mid-tier LTE devices
This presentation outlines the synergistic nature of 5G and AI -- two disruptive areas of innovations that can change the world. It illustrates the benefits of adopting AI for the advancements of 5G, as well as showcases the latest progress made by Qualcomm Technologies, Inc.
This presentation covers an industry perspective and a roadmap towards 5G with open and democratized interfaces. It covers examples of open reference platforms and how open source communities can complement standard bodies such as 3GPP and IEEE. It characterizes RAN and user and control plane core micro services and discusses opportunities for embedded network telemetry for emerging machine learning applications.
Speaker: Tom Tofigh, Principal Member of Technical Staff (Architect) at AT&T
Transforming enterprise and industry with 5G private networksQualcomm Research
The 3GPP put the spotlight on industry expansion in July with 5G NR Release 16 and set the stage for enterprise and industry verticals to look at how to provide high-performance wireless connectivity with 5G private networks. With a variety of options for spectrum, different network architectures, a rich feature set to meet the demanding needs of the industrial Internet of Things (IIoT), and the privacy and security required for business assurance, 5G private networks are poised to transform enterprise and industry.
Watch the webinar at: https://pages.questexnetwork.com/Webinar-Qualcomm-Registration-101520.html?source=Qualcomm
Radio Design Webinar: Optimising Your 700 MHz Deployments3G4G
Radio Design (https://radiodesign.eu/) hosted a webinar on 19th Nov 2020 focused on the deployment of the 700 MHz frequency band. This new 700 MHz spectrum is in great demand across the world, mainly due to its long anticipated use as low band 5G spectrum. The webinar explores the potential of this band, as well as how to prepare for potential challenges when deploying.
This #RadioDesign webinar is shared with permission. The speakers and agenda as follows:
Radio Design’s founder – Eric Hawthorn – kicks things off by analysing the benefits of deploying the 700 MHz band in the real world, before passing over to Global Engineering Director – Steve Shaw – who explores some of the technical problems which can arise, as well as some of the solutions. Last but not least, COO and co-owner of Keima – Iris Barcia – provides her insight into the benefits of deploying the 700 MHz band.
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
After our successful launch of '5G for Absolute Beginners' course (http://bit.ly/5Gbegins) in 2020, we decided to create an introductory training course on 6G Mobile Wireless Communications technology. The course is ready and the best way to navigate it is via the Free 6G Training page at: https://bit.ly/6Gintro - this will ensure that you have the latest version of each video and also the most recent version of the 6G technologies videos as and they are added.
In this part we will look at what we call the 6G Devices but they are effectively the devices that will exist in 2030. Some of them will be new form factors while others would be evolution of the existing form factors. These will include wearables, hearable and a lot of new innovation that are in initial phase of development. We will also spend some time on the futuristic XR headsets as they will definitely have a big role to plan in Beyond 5G and 6G timeframe.
This course is part of #Free6Gtraining initiative (https://www.free6gtraining.com/)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
6G and Beyond-5G Page: https://www.3g4g.co.uk/6G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Free 6G Training Blog: https://www.free6gtraining.com/
Accelerating our 5G future: a first look at 3GPP Rel-17 and beyondQualcomm Research
In December 2019, the scope of 3GPP Release 17 was decided in the Plenary meeting in Spain. This presentation outlines the details of this 3rd release of 5G standards.
Shared/unlicensed spectrum is important for 5G and is valuable for wide range of deployments from extreme bandwidth by aggregating spectrum, enhanced local broadband to Internet of Things verticals. 5G New Radio (NR) will natively support all different spectrum types and is designed to take advantage of new sharing paradigms. We are pioneering 5G shared spectrum today by building on LTE-U/LAA, LWA, CBRS/LSA and MulteFire.
Part 6: Standalone and Non-Standalone 5G - 5G for Absolute Beginners3G4G
An introductory training on 5G for newbies available on Udemy - http://bit.ly/udemy5G
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
5G will give consumers higher smartphones speeds and fiber-like wireless connections to the home, and it will unlock exciting new IoT use case from immersive augmented reality to remote haptic-enabled surgery to connected cars and smarter cities. 5G will impact the entire mobile network and associated ecosystem, from devices to radio access to the mobile core and into the cloud. Ericsson 5G Plug-Ins are designed for the radio access network and leverage the technology innovations enabled by the award-winning Ericsson 5G Radio Test Bed and Ericsson 5G Radio Prototypes already deployed and in operator 5G field trials worldwide.
Learn more: http://www.ericsson.com/spotlight/networks/secure-app-coverage/5g-plug-ins
Progress on LAA and its relationship to LTE-U and MulteFireQualcomm Research
Licensed Assisted Access (LAA) is introduced in 3GPP release 13 as part of LTE Advanced Pro. It uses carrier aggregation in the downlink to combine LTE in unlicensed spectrum (5 GHz) with LTE in the licensed band.
This presentation and demo show the hardware which consist of 5G UE’s, 5G radios, a fronthaul network and C-RAN with high density switches and servers, a transport network of 3 DWDM switches and a DC network of servers and high density switches. The basic software arrangement will be shown with emphasis on the structure of the orchestration and SDN controllers and the choice of virtualization components and logical networking. An eMBB slice will be brought up which will entail programming of the radios, the fronthaul, backhaul, a node B and the core. Its behavior will be noted through the test UE’s. An URRLC slice will be brought up and its nodeB and core will be demonstrated through its test UE’s showing extremely low latency. An MMTC slice will be brought up and a large number of test IOT devices will be demonstrated via the test UE’s. The eMBB slice will be augmented by programming a slice selection function that will create a ICN slice and an application (TBD) will be shown running over that ICN core (but with the eMBB slice). Spectrum will be reassigned from slice to slice and the changes noted as an optimizer recomputes the proper allocation of resources and executes it. Traffic will be increased and the changes in the backhaul over transport and core function placements will be noted. An additional demonstration will show creation of multiple 4G air interfaces using the same infrastructure network but with 4G radios and 4G UE’s using OAI software and ETTUS SDRs. A Skype session will be created between the two 4G slices. We will also try to show some of the EPC functions being moved while the UE sessions are not impacted.
Author : Peter Ashwood-Smith, Huawei Technologies
Presented at ITU-T Focus Group IMT-2020 Workshop and Demo Day, 7 December 2016.
More details on the event : http://www.itu.int/en/ITU-T/Workshops-and-Seminars/201612/Pages/Programme.aspx
This presentation covers an industry perspective and a roadmap towards 5G with open and democratized interfaces. It covers examples of open reference platforms and how open source communities can complement standard bodies such as 3GPP and IEEE. It characterizes RAN and user and control plane core micro services and discusses opportunities for embedded network telemetry for emerging machine learning applications.
Speaker: Tom Tofigh, Principal Member of Technical Staff (Architect) at AT&T
Transforming enterprise and industry with 5G private networksQualcomm Research
The 3GPP put the spotlight on industry expansion in July with 5G NR Release 16 and set the stage for enterprise and industry verticals to look at how to provide high-performance wireless connectivity with 5G private networks. With a variety of options for spectrum, different network architectures, a rich feature set to meet the demanding needs of the industrial Internet of Things (IIoT), and the privacy and security required for business assurance, 5G private networks are poised to transform enterprise and industry.
Watch the webinar at: https://pages.questexnetwork.com/Webinar-Qualcomm-Registration-101520.html?source=Qualcomm
Radio Design Webinar: Optimising Your 700 MHz Deployments3G4G
Radio Design (https://radiodesign.eu/) hosted a webinar on 19th Nov 2020 focused on the deployment of the 700 MHz frequency band. This new 700 MHz spectrum is in great demand across the world, mainly due to its long anticipated use as low band 5G spectrum. The webinar explores the potential of this band, as well as how to prepare for potential challenges when deploying.
This #RadioDesign webinar is shared with permission. The speakers and agenda as follows:
Radio Design’s founder – Eric Hawthorn – kicks things off by analysing the benefits of deploying the 700 MHz band in the real world, before passing over to Global Engineering Director – Steve Shaw – who explores some of the technical problems which can arise, as well as some of the solutions. Last but not least, COO and co-owner of Keima – Iris Barcia – provides her insight into the benefits of deploying the 700 MHz band.
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
After our successful launch of '5G for Absolute Beginners' course (http://bit.ly/5Gbegins) in 2020, we decided to create an introductory training course on 6G Mobile Wireless Communications technology. The course is ready and the best way to navigate it is via the Free 6G Training page at: https://bit.ly/6Gintro - this will ensure that you have the latest version of each video and also the most recent version of the 6G technologies videos as and they are added.
In this part we will look at what we call the 6G Devices but they are effectively the devices that will exist in 2030. Some of them will be new form factors while others would be evolution of the existing form factors. These will include wearables, hearable and a lot of new innovation that are in initial phase of development. We will also spend some time on the futuristic XR headsets as they will definitely have a big role to plan in Beyond 5G and 6G timeframe.
This course is part of #Free6Gtraining initiative (https://www.free6gtraining.com/)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
6G and Beyond-5G Page: https://www.3g4g.co.uk/6G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Free 6G Training Blog: https://www.free6gtraining.com/
Accelerating our 5G future: a first look at 3GPP Rel-17 and beyondQualcomm Research
In December 2019, the scope of 3GPP Release 17 was decided in the Plenary meeting in Spain. This presentation outlines the details of this 3rd release of 5G standards.
Shared/unlicensed spectrum is important for 5G and is valuable for wide range of deployments from extreme bandwidth by aggregating spectrum, enhanced local broadband to Internet of Things verticals. 5G New Radio (NR) will natively support all different spectrum types and is designed to take advantage of new sharing paradigms. We are pioneering 5G shared spectrum today by building on LTE-U/LAA, LWA, CBRS/LSA and MulteFire.
Part 6: Standalone and Non-Standalone 5G - 5G for Absolute Beginners3G4G
An introductory training on 5G for newbies available on Udemy - http://bit.ly/udemy5G
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
5G will give consumers higher smartphones speeds and fiber-like wireless connections to the home, and it will unlock exciting new IoT use case from immersive augmented reality to remote haptic-enabled surgery to connected cars and smarter cities. 5G will impact the entire mobile network and associated ecosystem, from devices to radio access to the mobile core and into the cloud. Ericsson 5G Plug-Ins are designed for the radio access network and leverage the technology innovations enabled by the award-winning Ericsson 5G Radio Test Bed and Ericsson 5G Radio Prototypes already deployed and in operator 5G field trials worldwide.
Learn more: http://www.ericsson.com/spotlight/networks/secure-app-coverage/5g-plug-ins
Progress on LAA and its relationship to LTE-U and MulteFireQualcomm Research
Licensed Assisted Access (LAA) is introduced in 3GPP release 13 as part of LTE Advanced Pro. It uses carrier aggregation in the downlink to combine LTE in unlicensed spectrum (5 GHz) with LTE in the licensed band.
This presentation and demo show the hardware which consist of 5G UE’s, 5G radios, a fronthaul network and C-RAN with high density switches and servers, a transport network of 3 DWDM switches and a DC network of servers and high density switches. The basic software arrangement will be shown with emphasis on the structure of the orchestration and SDN controllers and the choice of virtualization components and logical networking. An eMBB slice will be brought up which will entail programming of the radios, the fronthaul, backhaul, a node B and the core. Its behavior will be noted through the test UE’s. An URRLC slice will be brought up and its nodeB and core will be demonstrated through its test UE’s showing extremely low latency. An MMTC slice will be brought up and a large number of test IOT devices will be demonstrated via the test UE’s. The eMBB slice will be augmented by programming a slice selection function that will create a ICN slice and an application (TBD) will be shown running over that ICN core (but with the eMBB slice). Spectrum will be reassigned from slice to slice and the changes noted as an optimizer recomputes the proper allocation of resources and executes it. Traffic will be increased and the changes in the backhaul over transport and core function placements will be noted. An additional demonstration will show creation of multiple 4G air interfaces using the same infrastructure network but with 4G radios and 4G UE’s using OAI software and ETTUS SDRs. A Skype session will be created between the two 4G slices. We will also try to show some of the EPC functions being moved while the UE sessions are not impacted.
Author : Peter Ashwood-Smith, Huawei Technologies
Presented at ITU-T Focus Group IMT-2020 Workshop and Demo Day, 7 December 2016.
More details on the event : http://www.itu.int/en/ITU-T/Workshops-and-Seminars/201612/Pages/Programme.aspx
Nice presentation by Nokia talking about 5G network and radio enhancements such as 5G Quality of Service, Netowrk Slicing, Latency Reduction and architecture issue. Thanks Benoist for this and your work in 3GPP RAN2.
Overview 5G Architecture Options from Deutsche TelekomEiko Seidel
At 3GPP RAN#72 5G Architecture discussion took place. This document lists all options that are under discussion.
Source: RP-161266 at RAN#72 Deutsche Telekom
AT&T View on LTE to 5G Network Migration Eiko Seidel
3GPP currently investigates possible 5G architecture options and how to migrate from LTE to 5G. The first stip will be to use Dual Connectivity with 5G while LTE is the Primary Cell. This will allow for very early deployments. Further steps are still to be defined and highly depend on the relation of EPC and Next Generation Core.
The essential role of Gigabit LTE and LTE Advanced Pro in the 5G WorldQualcomm Research
As the next phase in the evolution of LTE (3GPP Release 13 and beyond), LTE Advanced Pro does more than just push LTE capabilities closer towards 5G. It will also become an integral part of the 5G mobile network, providing many services essential to the 5G experience starting day one. Learn more at: https://www.qualcomm.com/invention/technologies/lte/advanced-pro
Full immersion is achieved by simultaneously focusing on the broader dimensions of visual quality, sound quality, and intuitive interactions. This presentation discusses how:
- Technology improvements continue to drive more immersive experiences, especially for VR and AR
- High Dynamic Range (HDR) will enhance the visual quality on all our screens
- Scene-based audio is a new paradigm for 3D audio
- Natural user interfaces like voice, gestures, and eye tracking are making interactions more intuitive
Presented by Andy Sutton, Principal Network Architect - Chief Architect’s Office, TSO, BT at IET "Towards 5G Mobile Technology – Vision to Reality" seminar on 25th Jan 2017
Shared with permission
3GPP Standards for the Internet-of-ThingsEiko Seidel
Presenation by 3GPP RAN3 Chairman - Philippe Reininger - at the IoT Business & Technologies Congress (November 30, in Singapore). Main topics are eMTC, NB-IOT and EC-GSM-IoT as completed in 3GPP Release 13 and enhanced in Release 14
MulteFire is a new LTE-based air-interface that is being developed to operate solely in unlicensed spectrum, enabling it to offer the best of both worlds: LTE-like performance with Wi-Fi-like deployment simplicity.
MulteFire will broaden the LTE ecosystem with new deployment scenarios, such as enhanced broadband services and neutral hosts benefiting operators to augment wireless services. MulteFire applies to any unlicensed or shared spectrum when over-the-air contention is needed (listen before talk), such as the global 5 GHz band or the new 3.5 GHz band in the USA. The combination of neutral spectrum with high performing LTE and self-organizing networks will enable neutral host small-cells in more locations.
Introducing new Cellular V2X technologies, designed to connect vehicles to each other (V2V), to pedestrians (V2P), to roadway infrastructure (V2I), to the network (V2N) — to basically everything (V2X).
Next-generation immersive use cases such as VR and AR will demand even faster data rates, lower latency, and more capacity that will push the boundaries of LTE networks. Now, Gigabit LTE is here to deliver fiber-like wireless broadband that meets these expanding requirements. We are leading the Gigabit LTE evolution. Read more at https://www.qualcomm.com/invention/technologies/lte/advanced-pro/gigabit-lte
Qualcomm: Making the best use of unlicensed spectrumQualcomm Research
In solving the 1000x challenge, licensed spectrum is the foundation. Equally important is utilizing available unlicensed spectrum. The best way to achieve this is to combine both of them through aggregation. Aggregation brings seamless user experience, better coverage and capacity, as well as the efficiencies of a common unified network. Operators have a choice on how to aggregate, and the decision depends on their current assets and future network plans.
Explore our this presentation and other resources to find out when, and how to choose? How can LTE-U coexist fairly with Wi-Fi in 5GHz unlicensed spectrum? What roles existing/new Wi-Fi, and LTE-U play? And whether it really is a "either or" decision.
Webpage: https://www.qualcomm.com/invention/technologies/1000x/spectrum/unlicensed
Download presentation: https://www.qualcomm.com/documents/making-best-use-unlicensed-spectrum-presentation
Sign up for our Technology Newsletter: https://www.qualcomm.com/invention/technologies/wireless/signup
Introduction Videos about LTE AP Pro
Overview on LTE and 4.5 G Evolution Around the World
LTE Advance Pro: Enhancements
LTE Advance Pro: New Use Cases
Case Study: Turkey’s Mobile Operators Evolution towards 4.5 G
Summary of LTE Advance Pro
MATLAB Simulation: 2D Beamforming algorithms (LMS, NLMS RLS and CM)
References
Following the phenomenal global success of LTE, the stage is set for the foray of LTE Advanced. Industry leaders have already gotten a head start with its first step: carrier aggregation. Join us to explore the success factors behind LTE proliferation and an impressive lineup of enhancements that LTE Advanced is bringing.
For more information please visit:
www.qualcomm.com/lte-advanced
Broad Sky explores 2 of the latest technologies in Wireless providing the fastest LTE speeds on the market. Carrier Aggregation, QAM, MIMO and Bonding technologies make the most out of the LTE carrier networks on the path to 5G. Found out more about how the Need for Speed has driven these technologies and what they can do for your customers.
The expanding role of LTE Advanced, delivering new, transformative technologies that go well beyond faster peak data rates. These new technologies include introducing LTE-M for efficient machine-type communications, expanding LTE Direct device-to-device capabilities and use cases, empowering new services-such as LTE Ultra-Low Latency, and also driving convergence of traditionally disparate networks, spectrum types, and deployment models-such as LTE and Wi-Fi Convergence. Realizing a new connectivity paradigm with LTE Advanced-trailblazing the path to 5G!
Moid Kunwer -Technical Authority, EMEA Group, Motorola ; speaks on "Wimax and its introduction in Pakistan" at the event "Are you online" organised by Zumbeel
Moid Kunwer Technical Authority, EMEA Group, Motorola ; speaks on "Wimax & its introduction in Pakistan" at the event "Are you Online" organised by Zumbeel
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AIQualcomm Research
How do you find the best solution when faced with many choices? Combinatorial optimization is a field of mathematics that seeks to find the most optimal solutions for complex problems involving multiple variables. There are numerous business verticals that can benefit from combinatorial optimization, whether transport, supply chain, or the mobile industry.
More recently, we’ve seen gains from AI for combinatorial optimization, leading to scalability of the method, as well as significant reductions in cost. This method replaces the manual tuning of traditional heuristic approaches with an AI agent that provides a fast metric estimation.
In this presentation you will find out:
Why AI is crucial in combinatorial optimization
How it can be applied to two use cases: improving chip design and hardware-specific compilers
The state-of-the-art results achieved by Qualcomm AI Research
- There is a rich roadmap of 5G technologies coming in the second half of the 5G decade with the 5G Advanced evolution
- 6G will be the future innovation platform for 2030 and beyond building on the 5G Advanced foundation
- 6G will be more than just a new radio design, expanding the role of AI, sensing and others in the connected intelligent edge
- Qualcomm is leading cutting-edge wireless research across six key technology vectors on the path to 6G
3D perception is crucial for understanding the real world. It offers many benefits and new capabilities over 2D across diverse applications, from XR and autonomous driving to IOT, camera, and mobile. 3D perception with machine learning is creating the new state of the art (SOTA) in areas, such as depth estimation, object detection, and neural scene representation. Making these SOTA neural networks feasible for real-world deployment on mobile devices constrained by power, thermal, and performance has been a challenge. Qualcomm AI Research has developed not only novel AI techniques for 3D perception but also full-stack AI optimizations to enable real-world deployments and energy-efficient solutions. This presentation explores the latest research that is enabling efficient 3D perception while maintaining neural network model accuracy. You’ll learn about:
- The advantages of 3D perception over 2D and the need for 3D perception across applications
- Advancements in 3D perception research by Qualcomm AI Research
- Our future 3D perception research directions
5G is going mainstream across the globe, and this is an exciting time to harness the low latency and high capacity of 5G to enable the metaverse. A distributed-compute architecture across device and cloud can enable rich extended reality (XR) user experiences. Virtual reality (VR) and mixed reality (MR) are ready for deployment in private networks, while augmented reality (AR) for wide area networks can be enabled in the near term with Wi-Fi powered AR glasses paired with a 5G-enabled phone. Device APIs enabling application adaptation is critical for good user experience. 5G standards are evolving to support the deployment of AR glasses at a large scale and setting the stage for 6G-era with the merging of the physical, digital, and virtual worlds. Techniques like perception-enhanced wireless offer significant potential to improve user experience. Qualcomm Technologies is enabling the XR industry with platforms, developer SDKs, and reference designs.
Check out this webinar to learn:
• How 5G and distributed-compute architectures enable the metaverse
• The latest results from our boundless XR 5G/6G testbed, including device APIs and perception-enhanced wireless
• 5G standards evolution for enhancing XR applications and the road to 6G
• How Qualcomm Technologies is enabling the industry with platforms, SDKs, and reference designs
AI model efficiency is crucial for making AI ubiquitous, leading to smarter devices and enhanced lives. Besides the performance benefit, quantized neural networks also increase power efficiency for two reasons: reduced memory access costs and increased compute efficiency.
The quantization work done by the Qualcomm AI Research team is crucial in implementing machine learning algorithms on low-power edge devices. In network quantization, we focus on both pushing the state-of-the-art (SOTA) in compression and making quantized inference as easy to access as possible. For example, our SOTA work on oscillations in quantization-aware training that push the boundaries of what is possible with INT4 quantization. Furthermore, for ease of deployment, the integer formats such as INT16 and INT8 give comparable performance to floating point, i.e., FP16 and FP8, but have significantly better performance-per-watt performance. Researchers and developers can make use of this quantization research to successfully optimize and deploy their models across devices with open-sourced tools like AI Model Efficiency Toolkit (AIMET).
Presenters: Tijmen Blankevoort and Chirag Patel
Bringing AI research to wireless communication and sensingQualcomm Research
AI for wireless is already here, with applications in areas such as mobility management, sensing and localization, smart signaling and interference management. Recently, Qualcomm Technologies has prototyped the AI-enabled air interface and launched the Qualcomm 5G AI Suite. These developments are possible thanks to expertise in both wireless and machine learning from over a decade of foundational research in these complementing fields.
Our approach brings together the modeling flexibility and computational efficiency of machine learning and the out-of-domain generalization and interpretability of wireless domain expertise.
In this webinar, Qualcomm AI Research presents an overview of state-of-the-art research at the intersection of the two fields and offers a glimpse into the future of the wireless industry.
Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.
Speakers:
Arash Behboodi, Machine Learning Research Scientist (Senior Staff Engineer/Manager), Qualcomm AI Research Daniel Dijkman, Machine Learning Research Scientist (Principal Engineer), Qualcomm AI Research
How will sidelink bring a new level of 5G versatility.pdfQualcomm Research
Today, the 5G system mainly operates on a network-to-device communication model, exemplified by enhanced mobile broadband use cases where all data transmissions are between the network (i.e., base station) and devices (e.g., smartphone). However, to fully deliver on the original 5G vision of supporting diverse devices, services, and deployment scenarios, we need to expand the 5G topology further to reach new levels of performance and efficiency.
That is why sidelink communication was introduced in 3GPP standards, designed to facilitate direct communication between devices, independent of connectivity via the cellular infrastructure. Beyond automotive communication, it also benefits many other 5G use cases such as IoT, mobile broadband, and public safety.
Realizing mission-critical industrial automation with 5GQualcomm Research
Manufacturers seeking better operational efficiencies, with reduced downtime and higher yield, are at the leading edge of the Industry 4.0 transformation. With mobile system components and reliable wireless connectivity between them, flexible manufacturing systems can be reconfigured quickly for new tasks, to troubleshoot issues, or in response to shifts in supply and demand.
There is a long history of R&D collaboration between Bosch Rexroth and Qualcomm Technologies for the effective application of these 5G capabilities to industrial automation use cases. At the Robert Bosch Elektronik GmbH factory in Salzgitter, Germany, this collaboration has reached new heights.
Download this deck to learn how:
• Qualcomm Technologies and Bosch Rexroth are collaborating to accelerate the Industry 4.0 transformation
• 5G technologies deliver key capabilities for mission-critical industrial automation
• Distributed control solutions can work effectively across 5G TSN networks
• A single 5G technology platform solves connectivity and positioning needs for flexible manufacturing
3GPP Release 17: Completing the first phase of 5G evolutionQualcomm Research
This presentation summarizes 5G NR Release 17 projects that was completed in March 2022. It further enhances 5G foundation and expands into new devices, use cases, verticals.
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
Setting off the 5G Advanced evolution with 3GPP Release 18Qualcomm Research
In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.
Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs.
As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness.
Download the deck to learn more.
The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this presentation, we’ll discuss:
- Why on-device learning is crucial for providing intelligent, personalized experiences without sacrificing privacy
- Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning
- How we are solving system and feasibility challenges to move from research to commercialization
Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss:
- Why the demand for improved data compression is growing
- Why AI is a compelling tool for compression in general
- Qualcomm AI Research’s latest AI voice and video codec research
- Our future AI codec research work and challenges
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within tight power and thermal budgets. Advancements in multiple areas are necessary to improve AI model efficiency, including quantization, compression, compilation, and neural architecture search (NAS). In this presentation, we’ll discuss:
- Qualcomm AI Research’s latest model efficiency research
- Our new NAS research to optimize neural networks more easily for on-device efficiency
- How the AI community can take advantage of this research though our open-source projects, such as the AI Model Efficiency Toolkit (AIMET) and AIMET Model Zoo
How to build high performance 5G networks with vRAN and O-RANQualcomm Research
5G networks are poised to deliver an unprecedented amount of data from a richer set of use cases than we have ever seen. This makes efficient networking in terms of scalability, cost, and power critical for the sustainable growth of 5G. Cloud technologies such as virtualization, containerization and orchestration are now powering a surge of innovation in virtualized radio access network (vRAN) infrastructure with modular hardware and software components, and standardized interfaces. While commercial off-the-shelf (COTS) hardware platforms provide the compute capacity for running vRAN software, hardware accelerators will also play a major role in offloading real-time and complex signal processing functions. Together, COTS platforms and hardware accelerators provide the foundation for building the intelligent 5G network and facilitate innovative new use cases with the intelligent wireless edge.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. 2
LTE Advanced is being rapidly deployed globally
Evolving for faster, better mobile broadband
Source: GSA (www.gsacom.com)—Oct 2015 on network launches, Dec 2015 on subscriptions
Commercial network
launches in 48 countries95+
Commercial devices
across 100s of vendors1,500+
LTE / LTE Advanced
subscriptions worldwide>900M
3. 3
Leading the path towards Gigabit LTE
Qualcomm® Snapdragon™ LTE modems and modem classes
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
Speeds represent peak download speeds
150 Mbps
300 Mbps
450 Mbps
600 Mbps
Year that support in Qualcomm Technologies modem is announced
X5 LTE Modem
LTE Advanced
X7 LTE Modem
LTE Advanced
X10 LTE Modem
LTE Advanced
X12 LTE Modem
LTE Advanced
20162015201420132012
4. 4
Introducing LTE Advanced Pro
Rising up to meet the significant expanding connectivity needs of tomorrow
Propel mobile broadband even further
Enhance the mobile broadband experience and continue
to deliver solutions to efficiently grow capacity
Proliferate LTE to new use cases
Connecting new industries, enabling new services
and empowering new user experiences
Progress LTE capabilities towards a unified, more capable 5G platform
3GPP Release 13+
5. 5
Propel mobile broadband even further
Enhance user experience and deliver efficient solutions to increase capacity
Carrier Aggregation evolution—wider bandwidths
Aggregating more carriers, diverse spectrum types and across different cells
LTE in unlicensed spectrum
Make the best use of the vast amounts of unlicensed spectrum available
TDD/FDD evolution—faster, more flexible
Enable significantly lower latency, adaptive UL/DL configuration, and more
Many more antennas—path to massive MIMO
Exploit 3D beamforming (FD-MIMO) to increase capacity and coverage
Gbps+ peak rates
More uniform experience
Better coverage
Significantly lower latencies
6. 6
Connect the
Internet of Things
New ways to connect
and interact New classes
of services
High Performance
Low power/complexity
Digital TV broadcasting
Proximal awareness
Public safety
Evolving LTE-Direct
LTE V2X
Communications
Latency-critical control
Proliferate LTE to new use cases
LTE IoT
Extending the value of LTE technology and ecosystem
7. 7
Progress LTE capabilities towards 5G
In parallel driving 4G and 5G to their fullest potential
Note: Estimated commercial dates. Not all features commercialized at the same time
LTE Advanced ProLTE Advanced
2015 2020+
Rel-10/11/12
Carrier aggregation
Low LatencyDual connectivity
SON+
Massive/FD-MIMO
CoMP Device-to-device
Unlicensed spectrum
Enhanced CA
Shared Broadcast
Internet of Things256QAM
V2X
FeICIC
Advanced MIMO
FDD-TDD CA
eLAA
5G
8. 8
Progress LTE capabilities towards 5G
In parallel driving 4G and 5G to their fullest potential
Note: Estimated commercial dates. Not all features commercialized at the same time
2020 2030+
• Unified, more capable platform for spectrum bands below/above 6 GHz
• For new spectrum available beyond 2020, including legacy re-farming
• Fully leverage 4G investments for a phased 5G rollout
• Significantly improve cost and energy efficiency5G
LTE Advanced Pro
• Further backwards-compatible enhancements
• For spectrum opportunities available before 2020
10. 10
Carrier Aggregation—fatter pipe enhances user experience
Leading LTE Advanced feature today
1 The typical bursty nature of usage, such as web browsing, means that aggregated carriers can support more users at the same response (user experience) compared to two individual carriers, given that the for carriers are
partially loaded which is typical in real networks. The gain depends on the load and can exceed 100% for fewer users (less loaded carrier) but less for many users. For completely loaded carrier, there is limited capacity gain
between individual carriers and aggregated carriers
Higher peak data rate
and lower latency
Better experience
for all users
More capacity and better
network efficiency1
Maximize use of
spectrum assets
Up to 20 MHz LTE radio channel 2
Up to 20 MHz LTE radio channel 1
Up to 20 MHz LTE radio channel 3
Up to 20 MHz LTE radio channel 4
Up to 20 MHz LTE radio channel 5
Up to
100 MHz of
bandwidth
Aggregated
data pipe
Aggregated
data pipe
11. 11
Evolving Carrier Aggregation to achieve wider bandwidths
* Licensed Assisted Access (LAA), enhanced LAA, LTE – Wi-Fi Aggregation (LWA)
Up to 32 carriers
supported in Rel. 13
Across FDD/TDD supported in Rel. 12
Across spectrum types in Rel. 13+ (LAA, eLAA, LWA)*
Dual Connectivity supported in
Rel. 12, enhancing in Rel. 13
Paired Unpaired
UnlicensedLicensed
Across cellsAcross spectrum typesAcross more carriers
12. 12
Making best use of unlicensed spectrum
Unlicensed 5 GHz spectrum ideal for small cells
1 Regionally dependent
Pico/
Enterprises
Small
Businesses
Residential/
Neighborhood
Venues
Large amounts of
spectrum available at
5 GHz (~500 MHz1)
Aggregation with
licensed spectrum for
best performance
Multiple technologies will
co-exist— LTE-U, LAA/eLAA,
Wi-Fi, MulteFire™
13. 13
Extending LTE to unlicensed spectrum globally with LAA
Licensed Assisted Access (LAA) with Listen Before Talk (LBT)
1 LAA R13 will be downlink only. Aggregating with either licensed TDD or licensed FDD is possible with SDL; 2 Assumptions: Two operators. 48 Pico+108 Femto cells per operator. 300 users per operator with 70% indoor. 3GPP Bursty model.
12x40MHz @ 5GHz for unlicensed spectrum; LTE 10 MHz channel at 2 GHz;. 2x2 MIMO, Rank 1 transmission, eICIC enabled; LAA R13, 2x2 MIMO (no MU-MIMO).; Wi-Fi - 802.11ac 2x2 MIMO (no MU-MIMO), LDPC codes and 256QAM).
• ~2x capacity and range
Compared to Wi-Fi in dense
deployments
2
• Enhanced user experience
Licensed anchor for control
and mobility
• Single unified LTE network
Common management
• Fair Wi-Fi coexistence
In many cases, a better neighbor
to Wi-Fi than Wi-Fi itself
LAA introduced in 3GPP Rel. 13:
Supplemental Downlink (SDL) to boost downlink
1
Unlicensed (5 GHz)
Licensed Anchor
(400 MHz – 3.8 GHz)
LTE /
LAA
Carrier
aggregation
14. 14
World’s first over-the-air LAA trial during November 2015
Joint effort by Qualcomm Technologies, Inc. with a major Europe MNO
• Indoor and outdoor deployment scenarios
• Different combinations of LAA, LWA and Wi-Fi
• Single and multiple users—both stationary and mobile
• Handover between cells
• Range of radio conditions
Completed a wide range of test cases
OTA LAA trial demonstrated benefits of LAA
• Fair co-existence of LAA with Wi-Fi over all test cases
• Coverage and capacity benefits of LAA over carrier Wi-Fi1
• Seamless mobility of both LAA and LWA
A combined test cell with
LTE, LAA, LWA and Wi-Fi
1 Based on 802.11ac
Screenshot of live results from
trial in Nuremburg, Germany
A big milestone towards commercial deployment
15. 15
Enhanced LAA (eLAA) in Release 14 and beyond
To further improve flexibility and efficiency
1 UL aggregation part of Rel. 14—other features proposed; 2 Aggregation of unlicensed downlink and uplink is possible with either licensed TDD or licensed FDD; 3 Complexity/cost reduction is also applicable to licensed LTE
Release 13
Release 14 and beyond
1
LAA introduced
Defines Supplemental Downlink
(SDL) to boost downlink data
rates and capacity
Uplink & downlink aggregation
Boost uplink data rates and capacity in
addition to downlink
2
Dual Connectivity
Aggregation of unlicensed and licensed
carriers across non-collocated nodes
Complexity reduction
3
More efficient HARQ, channel
coding and TDD operation for
higher data rates
Unlicensed
Licensed Anchor
Carrier
aggregation
16. 16
LWA for existing and new carrier Wi-Fi
LTE – Wi-Fi link aggregation part of 3GPP Release 13
Notes: Aggregation on modem level (PDCP level), also leveraging dual connectivity defined inR12; Control over X2-like interface needs to be supported by Wi-Fi AP. No change to LTE & WiFi PHY/MAC. No change to core
network
Leverages new/existing carrier Wi-Fi
(2.4 & 5 GHz unlicensed spectrum)
LTE Anchor
(Licensed Spectrum)
• Enhanced user experience
Licensed anchor for control and mobility
• Unified network
Operator LTE network in full control of Wi-Fi
• Better performance
Simultaneously using both LTE and Wi-Fi links
Control Traffic
Modem-level aggregation
for superior performance
Wi-Fi
Possible across
non-collocated
nodes Link
aggregation
17. 17
Many more antennas to increase capacity and coverage
Significant spectral efficiency gains by introducing Full Dimension (FD) MIMO
Release 13
2D codebook support for 8-, 12- and
16-antenna elements with Reference
Signal enhancements for beamforming
Release 14 and beyond
Support higher-order massive MIMO
>16-antenna elements—a key
enabler for higher spectrum bands
Evolving towards
Massive MIMO—
setting the path to 5G
Exploit 3D
beamforming utilizing
a 2D antenna arrayAzimuth beamforming
Elevation beamforming
18. 18
LTE Advanced Pro will achieve significantly lower latency
A technology enabler for faster, better mobile broadband and beyond
Improved throughput
performance
By addressing TCP/UDP
throughput limitations at peak
rates today
Better user experience for
real-time applications
Such as reducing packet and call
setup delay for Voice- or
Video-over-IP applications
Potentially address new
latency-critical apps
Such as command-and-control of
drones, industrial equipment; also
likely part of LTE V2X design
19. 19
New FDD/TDD design delivers >10x reduction in latency
1
Designed to coexist in the same band with nominal LTE nodes
1 Over-the-air latency based on LTE / LTE Advanced HARQ RTT today = 8ms; LTE Advanced Pro = 600us based on 1 symbol TTI; 2 Retransmission may occur immediately in the next TDD subframe
Significantly lower
Round Trip Time (RTT)
Shorter Time
Transmission Interval (TTI)
Traditional LTE subframe (1ms)
14 OFDM Data Symbols (~70us each)
LTE Advanced Pro
Study item part of Rel. 13
14 symbol TTI LTE/LTE Advanced today)
1 symbol TTI (~70us)
FDD
Faster
HARQ RTT
Data
ACK ACK0
Faster HARQ RTT = 600us
71 2 3 4 5 60
1 symbol TTI = ~70us
TDD
New self-
contained design
reduces RTT
1ms
Guard
Period
Ctrl
(Tx)
Data
(Tx)
Data and acknowledgement
in the same subframe2
DL
example
ACK
(Rx)
0
20. 20
Evolving TDD design
For a faster, more flexible frame structure
1 Sounding Reference Signal – signal transmitted by the UE in the uplink direction; used by the eNodeB to estimate the uplink channel quality
Dynamic UL/DL configurationNew self-contained TDD subframes
Significantly lower
over-the-air latency
Faster link adaptation—
e.g. fast SRS
1
for FD-MIMO
More flexible capacity
based on traffic conditions
DL S UL UL UL DL S UL UL UL
DL S UL UL DL DL S UL UL DL
Dynamically change UL/DL
configuration based on traffic
Supports both legacy
and new self-contained
subframes
DL S UL UL UL DL S UL UL UL
10ms
D
L
Guard
Period
D
L
D
L
D
L
D
L
D
L
D
L
D
L
D
L
D
L
D
L
D
L
D
L
U
L Self-contained DL
D
L
Guard
Period
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L
U
L Self-contained UL
1ms
21. 21
FDD also evolving for adaptive UL/DL allocation
Flexible Duplex flexibly converts FDD UL resources for DL traffic offloading
1 In which terminal and network transmission power are more similar; 2 For device Interference Cancellation
DL DL DL DL DL DL DL DL DL DL
UL UL UL UL UL UL UL UL UL UL DL S UL DL DL DL DL DL DL UL UL Band
DL DL DL DL DL DL DL DL DL DL DL BandDL Band
UL Band
Particularly suitable for
small cell deployments
1
Requires advanced receivers
for superior performance
2
Proposed as part of
3GPP Release 14
Flexible DuplexFDD today
22. 22
Extending LTE technology to new deployment scenarios
Introducing MulteFire™─LTE-based technology solely for unlicensed spectrum
Broadens LTE technology/ecosystem to new deployment
opportunities and entities
Harmoniously coexist
with Wi-Fi, LTE-U/LAA
4G LTE-like performance
• Enhanced capacity and range
• Improved mobility, quality-of-
experience
• Hyper-dense, self-optimizing
deployments
Wi-Fi-like deployment simplicity
• Operates in unlicensed spectrum
• Leaner, self-contained network
architecture
• Suitable for neutral host
deployments
MulteFire is a trademark of the MulteFire Alliance (www.multefire.org); MulteFire is not part of the 3GPP standard; it does heavily leverage 3GPP LAA technology
23. 23
Enhanced offload for mobile networks with MulteFire™
High-performance neutral host offload capabilities
Traditional mobile deployments
Separate spectrum bands and deployments may
prohibit reaching all venues, enterprises and homes
Neutral host deployments
Using common spectrum and common deployment
provides neutral host services (Wi-Fi like)
24. 24
Proliferate LTE
to new use
cases
Connect the Internet of Things
Bring new ways to connect
Enable new types of services
25. 25
Scaling to connect the Internet of Things
Scaling up in performance and mobility
Scaling down in complexity and power
Wearables
Energy Management
Environment monitoring
Smart buildings
Object Tracking
City infrastructure
Utility metering
Connected healthcare
Video security
Connected car
Mobile
Significantly widening the range of enterprise and consumer use cases
LTE Advanced (Today+) LTE IoT (Release 13+)
LTE Advanced
>10 Mbps
n x 20 MHz
LTE Cat-1
Up to 10 Mbps
20 MHz
LTE-M (Cat-M1)
Up to 1 Mbps
1.4 MHz narrowband
NB-IOT
10s of kbps to 100s of kbps
180 kHz narrowband
26. 26
Scaling down cost and complexity with LTE IoT
LTE-M (Cat-M1) and NB-IOT part of Release 13
Multi-year
Battery Life
Enhanced power save
modes and more efficient
signaling, e.g. extended
DRX sleep cycles
Deeper
Coverage
Achieve up to 20 dB
increase in link budget for
delay-tolerant applications
via repetitive transmissions
High
Node Density
Signaling and other network
optimizations, e.g. overload
control, to support a large
number of devices per cell
Reduced
Device Cost
Narrowband operation
(1.4 MHz or 180 kHz) plus
further modem and RFFE
complexity reductions
Co-existence with today’s services leveraging existing
infrastructure and spectrum—low deployment cost
27. 27
New NB-IOT design also part of 3GPP Release 13
Global standard for Low Power Wide Area applications based on licensed spectrum
1 May be deployed in-band, utilizing resource blocks within normal LTE carrier or standalone for deployments in dedicated spectrum including re-farming GSM channels.
Also exploring deployments in the unused resource blocks within a LTE carrier’s guard-band,
Narrower bandwidth
(180 kHz)
Various potential deployment options
incl. in-band within LTE deployment1
Higher density Massive number (10s of thousands)
of low data rate ‘things’ per cell
Longer battery life Beyond 10 years of battery life for
certain use cases
Lower device cost Comparable to GPRS devices
Extended coverage Deep indoor coverage, e.g. for
sensors located in basements
(>164 dB MCL)
Low data rate
Delay tolerant
Nomadic mobility
Sample use cases
Up to 100s of kbps
Seconds of latency
No handover;
cell reselection only
Utility metering Smart buildingsRemote sensors
Addresses a subset of IoT use casesScales even further in cost and power
Object Tracking
28. 28
Bringing new ways to intelligently connect and interact
Devices are no longer just end points—integral parts of the network
Device-to-device discovery
and communications
Relays and multi-hop to
extend coverage
Vehicle-to-Everything
Communications (V2X)
29. 29
Expanding the LTE Direct device-to-device platform
1 Important for e.g. Social Networking discovery use cases; 2 Designed for Public Safety use cases
Release 14 and beyond
Multi-hop communication
and more use cases
Release 13
Expanded D2D discovery and
D2D communications
Release 12
D2D platform for consumer and
public safety use cases
Discovery of 1000s of
devices/services in ~500m
Reliable one-to-many communications
(in- and out-of-coverage)*
More flexible discovery such as
restricted/private1 and inter-frequency
Device-to-network relays2
Additional D2D
communication capabilities
Proposed for vehicle-to-vehicle
(V2V) and beyond
30. 30
LTE Advanced Pro enhancements for V2X
Proposed as part of Release 14
Vehicle-to-Vehicle
Build upon LTE Direct D2D discovery and
communication design—enhancements for high speeds /
high Doppler and low latency
e.g. location, speed
Vehicle-to-Infrastructure
Vehicles send messages to V2X server via unicast;
V2X server uses LTE Broadcast with enhancements
to broadcast messages to vehicles and beyond
e.g. road hazard
information, services
31. 31
Empowering vehicle-to-everything (V2X) communications
Vehicle-to-
Pedestrian (V2P)
Vehicle-to-
Infrastructure (V2I)
Vehicle-to-
Network (V2N)
Safety
Enhances ADAS with 360º
non-line-of-sight awareness such
as forward collision warning
Traffic Efficiency
Vehicles exchange info with each
other and infrastructure such as
cooperative adaptive cruise control
Situational Awareness
Vehicles made more aware
of things such as curve speed
and queue warnings
Vehicle-to-
Vehicle (V2V)
Collision Warning
Accident ahead
z
Car approaching intersection
In addition to LTE V2X, 802.11p Dedicated Short-Range Communications (DSRC) is expected to be mandated for future ‘light
vehicles’ by the National Highway Traffic Safety Administration (NHSTA) in the United States to improve road safety*
* Qualcomm has conducted extensive research into various use cases for DSRC, including V2P applications that could extend the safety benefits of V2V communications to vulnerable road users such as pedestrians and cyclists.
32. 32
LTE is well suited for V2X communications
Ubiquitous coverage
Established networks serving billions of connections worldwide
Tight integration with existing capability set
E.g. connected infotainment, telematics
Mature ecosystem
Backed by global standards with seamless interoperability
High reliability and robust security
Managed services based on licensed spectrum with security features built-in
Rich roadmap including 5G
Future enhancements—not complete redesign
33. 33
No infrastructure,
out-of-coverage
Different deployment scenarios possible for LTE V2X
Frequency V = Common spectrum dedicated for V2V communications for a specific region
In-coverage, common V2V spectrum
shared by multiple operators
Common V2V
frequency V
Operator C
V2I frequency 3
Operator B
V2I frequency 2
Operator A
V2I frequency 1
V2V
frequency V
34. 34
Our vision for the connected car of the future
V2X an important stepping stone to a safer, more autonomous driving experience
Heterogeneous
connectivity
On-device
intelligence
Immersive multimedia
Diagnostics
Real-time navigation
Wi-Fi hotspot
Connected infotainment
Vehicle-to-vehicle
Vehicle-to-Infrastructure
BYOD
Computer vision
Always-on sensing
Intuitive security
Machine learning
Augmented reality
35. 35
Empowering new classes of wireless services
New opportunities for the entire mobile ecosystem
Digital TV broadcasting
Evolving LTE Broadcast to
deliver a converged TV network
Proximal awareness
Expanding upon LTE Direct platform to
discover nearby devices/services
Public Safety
Leverage the vast LTE ecosystem for
robust public safety communications
Latency-critical control
Utilize reduction in over-the-air latency
for command-and-control applications
36. 36
Evolving LTE Broadcast for mobile and beyond
1 This feature is called Mood (Multicast operation on Demand) introduced in Rel. 12, evolving for per cell basis in Rel. 13; 2 Based on SFN gain and mandatory anchor in licensed spectrum; 3 with cyclic prefix of 200 us; 4
features such as 2x2 MIMO and 256 QAM part of Rel. 13 of 3GPP. 5 Proposed for 3GPP R14; delivery of broadcast via several providers using a common SFN timing on a shared broadcast carrier.
Longer range up to 15 km3, flexibility
to dedicate full carrier, higher capacity
4
,
ability to insert customized ads, and
support for shared broadcast
5
Converged TV services
Enhancing venue casting and
beyond; such as leveraging LAA for
better user experience than Wi-Fi2
Small Cell Optimizations
Performance enhancements to
enable a single network for
mobile/fixed devices
Including using bandwidth-rich
5 GHz unlicensed spectrum
Provides scalability for demand
or event driven broadcast, e.g.
sports event
Dynamic switching1 between
unicast and broadcast, even
on a per cell basis
Broadcast on Demand
To the extent
needed
When/Where
needed
37. 37
Using LTE Broadcast for converged digital TV services
Candidate in Europe—a single broadcast network for mobile and fixed devices
1 Current broadcast technology operates in Multi Frequency Network (MFN) mode with a frequency reuse of at least 4 with a spectrum efficiency of up to 4 bps/Hz inside each cell. This corresponds to an overall spectrum
efficiency of approx. 1bps/Hz. Whereas LTE-B operates in SFN over the entire coverage area with a spectrum efficiency of up to 2bps/Hz.
Offering TV service on
dedicated spectrum
Exploiting LTE devices with
inherent LTE Broadcast support
Adding LTE Broadcast capability to
other devices, such as regular TV
Overlay broadcast on existing
LTE network—with opportunity for
shared broadcast
Unpaired spectrum
2x more efficient than
today’s DVB-T/ATSC
1
Allows broadcasters to reach
lucrative mobile market
Converged broadcast-unicast,
e.g. on-demand, interactivity
38. 38
Shared LTE Broadcast for new media delivery models
Proposed as part of 3GPP Release 14
Operator A
Unicast frequency 1
Common eMBMS
frequency 3
Provisioning
A B C D
Users can access content even without
operator’s subscription
Users access content unbundled
from transport
Common eMBMS-only carrier shared
across Mobile Operators
B
Content Providers
TV, Paid TV, Media Streaming, etc.
Media Gateway
A
Operator B
Unicast frequency 2
39. 39
Enabling new proximal awareness & discovery services
LTE Direct introduced in Release 12; enhancements part of Release 13
Discovery at scale
Discovery of 1000s of devices /
services in the proximity of ~500m
Interoperable discovery
Universal framework for discovery
across apps/devices/operators
Part of global LTE standard
Opportunities for entire mobile
industry—vast LTE ecosystem
Always-on awareness
Privacy sensitive and battery
efficient discovery
40. 40
New LTE Direct proximal awareness services
Continuous Discovery
of relevant people, products, services, events
Personalized Interactions
with the user’s surroundings and environment
Personalized Services
personalizing experiences, e.g. at a venue
Reverse Auctions
personalizing promotions
Social Discovery
of friends, colleagues, dates, …
Based on the users interests/affinities
Retail Discovery
of merchants, products, …
Event Discovery
of music, sporting, …
Service Discovery
of restaurants, transportation, ….
Loyalty Programs
personalizing services and offers
Digital Out-of-Home
personalizing digital signs
41. 41
Enabling LTE Public Safety services
Leverage LTE Direct device-to-device capabilities
1 MCPTT = Mission-Critical Push-to-Talk
Emulates the Professional/Land Mobile
Radio (PMR/LMR) push-to-talk systems
• Robust communications
Device-to-device communications
(both in-coverage and out-of-coverage)
• LTE ecosystem
Leverage vast ecosystem of devices
• Standardization
3GPP Rel. 12 one-to-many communications;
Rel. 13 UE-network relays, MCPTT1 service layer
42. 42
Potential new use cases with significantly lower latencies
Industrial process automation
V2X communications
Industrial HMI (e.g., augmented reality)
UAS command & control
ULL node
LTE RAN
1 Round Trip Time (RTT) at edge of RAN with edge caching
Sample use cases
• Millisecond latency
Targeting end-to-end latency <2 milliseconds1
• Coexistence
Between LTE low latency nodes and nominal
LTE nodes
• Standardization
As part of 3GPP—study item in Release 13
43. 43
In summary—a rich roadmap of LTE Advanced Pro features
Note: Estimated commercial dates. Not all features commercialized at the same time.
2017 20182014 2015 2019 2020+
Rel-13 Rel-14 Rel-15 and beyond
LTE Advanced ProLTE Advanced
2016
Propel the LTE mobile
broadband experience even further
Proliferate LTE to new use cases,
devices and types of services
Connect the Internet of Things
LTE-M, NB-IOT
Vehicle communications
LTE V2X
New ways to connect/interact
Evolve LTE Direct platform
Converged Digital TV
Evolve LTE Broadcast
New real-time control apps
Leveraging <10ms e2e latencies
Public Safety
e.g. Mission-Critical Push-to-Talk
LTE Unlicensed
LAA/eLAA, LWA, MulteFire™
TDD / FDD Evolution
Faster, more flexible subframe
Carrier Aggregation evolution
e.g. up to 32 carriers
Lower Latency
e.g. shorter TTI & HARQ RTT
Advanced antenna features
Full-Dimension MIMO
HetNet enhancements
e.g. enhance dual connectivity
44. 44
Qualcomm LTE Advanced / LTE Advanced Pro leadership
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
1 Qualcomm Technology, Inc. firsts with respect to public announcement of a commercial LTE modem chipset
• Main contributor to LTE Advanced &
LTE Advanced Pro features
• Pioneering work on LTE Direct/V2X,
LTE Broadcast and LTE Unlicensed
• Harmonized Industry on narrowband
IoT (NB-IoT) specification
• FEB ‘14 (MWC): Enhanced HetNets
with data- channel IC
• FEB ‘15 (MWC): First LTE LAA
demo, LTE Direct 1:M demo
• NOV ‘15: First over-the-air LAA trial
in Nuremberg, Germany
• FEB ‘16 (MWC): LTE eLAA and
MulteFire™ demos
Impactful Demos and Trials
• JUN ‘13: 1st LTE Advanced solution
• JAN ‘14: 1st modem to support
LTE Broadcast
• FEB ‘15: 1st modem to support
LTE Unlicensed
• OCT ’15: 1st modem to support
LTE-M and NB-IOT
Industry-first Chipsets from
Qualcomm Technologies, Inc.1Standards Leadership
45. 45
Continuing our technical leadership role in 5G
Qualcomm Research working on 5G for many years; focus area of research for future
Qualcomm Research is a division of Qualcomm Technologies, Inc.
Participating in impactful
5G demos, trials, …
Driving standardization of
5G in 3GPP
Designing 5G system
to meet new requirements
Learn more at: www.qualcomm.com/5G
e.g. new OFDM-based PHY/MAC scalable
to extreme variations in requirements
e.g. mmWave and massive MIMO
simulations and measurements
e.g. Qualcomm Research mmWave
prototype system – demo at MWC 2016
46. 46
Leading the path to 5G with LTE Advanced Pro
Progress LTE towards 5G—a unified, more capable platform
for the next decade and beyond
Propel the LTE mobile broadband
experience even further
Proliferate LTE to new use cases,
devices and types of services
Learn more at: www.qualcomm.com/lte-advanced-pro
47. 47
An essential innovator and accelerator of mobile and beyond
Machine learning
Computer vision
Always-on sensing
Immersive multimedia
Cognitive connectivity
Intuitive security
Heterogeneous computingNext level of intelligence
Bringing cognitive
technologies to life
Devices and things that perceive,
reason, and act intuitively
Small cells and self organizing technology
LTE in unlicensed spectrum, MuLTEfire™
LTE Advanced carrier aggregation, dual connectivity
Advanced receivers and interference management
Spectrum innovations like LSA
Wi-Fi – 11ac, 11ad, MU-MIMO, OCE, 11ax
3G
More capacity
Delivering solutions for the
1000x data challenge
Innovative small cells and
spectrum solutions
Creating the connectivity fabric
for everything
Connect new industries,
Enable new services,
Empower new user experiences
LTE-M (Machine-Type Communications), NB-IOT
LTE Direct device-to-device
LTE Broadcast
LTE – Wi-Fi Convergence
Wi-Fi – 11ah, 11ad, Wi-Fi Aware, Wi-Fi Direct, DSRC
Bluetooth Smart
OneWeb
5G
A new connectivity paradigm
TM
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