This presentation takes a look at the technology roadmap for 5G NR millimeter wave (mmWave). Including features such as integrated access and backhaul (IAB), enhancements in beam management, mobility, coverage, and more. For more information, please visit www.qualcomm.com/mmwave
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.
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.
5G will connect virtually everything around us to transform a wide range of industries — manufacturing, automotive, logistics, and many more, and we are on track to make 5G NR — the global 5G standard — a commercial reality by 2019. However, this first phase of 5G mainly focuses on enhanced mobile broadband services, which will contribute to part of the total projected $12T 5G economy. 5G NR will continue to evolve in Release 16 and beyond to further expand 5G’s reach to new devices, services, and ecosystem players.
Introducing our 5G Platform for the first movers in 5G, the first completely end-to-end solution that combines core and radio solutions in 5G to enable new opportunities and use cases
What is 5G NR all about? Check out this presentation to see all the key design components of this new unifying air interface for the next decade and beyond.
Begin your evolution with Ericsson’s new small cell solutions.
There is need for the multi-operator dots, multi-dot enclosure, and strand -mounted bracket. The complicated arrangements are made easier with Ericsson small cell solutions.
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.
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.
5G will connect virtually everything around us to transform a wide range of industries — manufacturing, automotive, logistics, and many more, and we are on track to make 5G NR — the global 5G standard — a commercial reality by 2019. However, this first phase of 5G mainly focuses on enhanced mobile broadband services, which will contribute to part of the total projected $12T 5G economy. 5G NR will continue to evolve in Release 16 and beyond to further expand 5G’s reach to new devices, services, and ecosystem players.
Introducing our 5G Platform for the first movers in 5G, the first completely end-to-end solution that combines core and radio solutions in 5G to enable new opportunities and use cases
What is 5G NR all about? Check out this presentation to see all the key design components of this new unifying air interface for the next decade and beyond.
Begin your evolution with Ericsson’s new small cell solutions.
There is need for the multi-operator dots, multi-dot enclosure, and strand -mounted bracket. The complicated arrangements are made easier with Ericsson small cell solutions.
6G Training Course Part 7: 6G Technologies - Introduction3G4G
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 6G Technologies. As this is a huge topic, we are only going to discuss the technologies at a very high level. Later on we will create more detailed presentations on 6G technologies. In this part we will look at some of the 6G technologies being proposed by other researchers, organisations, vendors and operators and create a summary of the 6G technologies that are being discussed. These technologies each merit their own little presentation that we hope to make in the future
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/
The slides givews an overview of the Ericsson 5G training program for 2018, including fundamentals as well as technical overviews of 5G Core and 5G RAN.
Get a better understanding of 5G in this "Introduction to 5G"presentation by Doug Hohulin, Nokia 4G/5G Mobile Technology, whose focus is the strategy and business development of AV, UAS, Smart City, IoT and 5G technologies. This was part of Doug's presentation at the 2017 Gigabit City Summit (GCS17)
With the components already introduced to the market, we are making the platform truly end-to-end by launching;
- The market’s first complete 5G radio system
- The first version of an E2E Core network capable of 5G use cases based on network slices
- A 5G core network which can now be connected to 5G NR radio
This enables already today some 5G use cases, for telecom operators to capture growth opportunities for 5G & Internet of Things services for Consumers & Enterprises.
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...
Millimeter wave mobile communication for 5G cellular.Apurv Modi
Introducing the Fifth generation(5G) cellular technology that is use "millimeter wave" technology,as research is going on this approach and by 2020 5G mobile cellular will work on to the millimeter wave with great spectrum bandwidth and very less cost with serving of 100 billion wireless connection across the world
5G will transform the IoT, expanding the reach of 5G and mobile technologies beyond smartphones. This presentation talks about how 5G is opening doors to new use cases, what is in the 5G evolution that will address the expanding IoT needs, and what Qualcomm is doing to deliver end-to-end technologies and solutions.
Beginners: Introduction to 5G Reduced Capability (RedCap) Devices3G4G
A quick introduction to new 3GPP Release-17 feature called RedCap or Reduced Capability New Radio devices. This feature was earlier called NR-Light / NR-Lite and is sometimes referred to as Low Complexity NR devices.
This tutorial looks at why this is needed, how is it different from the existing 5G requirements for eMBB, URLLC & mMTC, and why can't 4G be used instead of 5G for this feature.
We will also look at some of the proposals for enhancement of RedCap that are being discussed for 5G-Advanced in 3GPP Release-18
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/
Objective is to include the brief insight on 5G network architecture and standard progress, Accumulated it from different paper/journal, vendor’s white paper and different blog.
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 the 6G Requirements. We will look at the basic requirements for different generations, look what other organizations and researchers think about the requirements and we can then lay a high level requirements that is easier for everyone to follow. The final requirements will be available when ITU creates the IMT-2030 or equivalent document.
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/
A presentation / video looking at 5G spectrum auctions and allocations and how different types of spectrum is required for providing a perfect 5G coverage
All our 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/
How does unlicensed spectrum with NR-U transform what 5G can do for you?Qualcomm Research
NR-U brings the power of 5G to unlicensed spectrum globally. NR-U can help service providers deliver the 5G experience end-users have come to expect with or without licensed spectrum. Read more at https://www.qualcomm.com/news/onq/2020/06/11/how-does-support-unlicensed-spectrum-nr-u-transform-what-5g-can-do-you
6G Training Course Part 7: 6G Technologies - Introduction3G4G
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 6G Technologies. As this is a huge topic, we are only going to discuss the technologies at a very high level. Later on we will create more detailed presentations on 6G technologies. In this part we will look at some of the 6G technologies being proposed by other researchers, organisations, vendors and operators and create a summary of the 6G technologies that are being discussed. These technologies each merit their own little presentation that we hope to make in the future
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/
The slides givews an overview of the Ericsson 5G training program for 2018, including fundamentals as well as technical overviews of 5G Core and 5G RAN.
Get a better understanding of 5G in this "Introduction to 5G"presentation by Doug Hohulin, Nokia 4G/5G Mobile Technology, whose focus is the strategy and business development of AV, UAS, Smart City, IoT and 5G technologies. This was part of Doug's presentation at the 2017 Gigabit City Summit (GCS17)
With the components already introduced to the market, we are making the platform truly end-to-end by launching;
- The market’s first complete 5G radio system
- The first version of an E2E Core network capable of 5G use cases based on network slices
- A 5G core network which can now be connected to 5G NR radio
This enables already today some 5G use cases, for telecom operators to capture growth opportunities for 5G & Internet of Things services for Consumers & Enterprises.
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...
Millimeter wave mobile communication for 5G cellular.Apurv Modi
Introducing the Fifth generation(5G) cellular technology that is use "millimeter wave" technology,as research is going on this approach and by 2020 5G mobile cellular will work on to the millimeter wave with great spectrum bandwidth and very less cost with serving of 100 billion wireless connection across the world
5G will transform the IoT, expanding the reach of 5G and mobile technologies beyond smartphones. This presentation talks about how 5G is opening doors to new use cases, what is in the 5G evolution that will address the expanding IoT needs, and what Qualcomm is doing to deliver end-to-end technologies and solutions.
Beginners: Introduction to 5G Reduced Capability (RedCap) Devices3G4G
A quick introduction to new 3GPP Release-17 feature called RedCap or Reduced Capability New Radio devices. This feature was earlier called NR-Light / NR-Lite and is sometimes referred to as Low Complexity NR devices.
This tutorial looks at why this is needed, how is it different from the existing 5G requirements for eMBB, URLLC & mMTC, and why can't 4G be used instead of 5G for this feature.
We will also look at some of the proposals for enhancement of RedCap that are being discussed for 5G-Advanced in 3GPP Release-18
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/
Objective is to include the brief insight on 5G network architecture and standard progress, Accumulated it from different paper/journal, vendor’s white paper and different blog.
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 the 6G Requirements. We will look at the basic requirements for different generations, look what other organizations and researchers think about the requirements and we can then lay a high level requirements that is easier for everyone to follow. The final requirements will be available when ITU creates the IMT-2030 or equivalent document.
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/
A presentation / video looking at 5G spectrum auctions and allocations and how different types of spectrum is required for providing a perfect 5G coverage
All our 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/
How does unlicensed spectrum with NR-U transform what 5G can do for you?Qualcomm Research
NR-U brings the power of 5G to unlicensed spectrum globally. NR-U can help service providers deliver the 5G experience end-users have come to expect with or without licensed spectrum. Read more at https://www.qualcomm.com/news/onq/2020/06/11/how-does-support-unlicensed-spectrum-nr-u-transform-what-5g-can-do-you
Over the last year, the industry has made tremendous progress towards making 5G NR a reality with Qualcomm leading the way. We have completed the first release of 3GPP 5G NR specifications, we are set to kick-off 3GPP-compliant 5G NR trials, and we are accelerating global 5G NR enhanced mobile broadband commercial deployments to start in 2019.
But yet there still remains a decent amount of mystery and skepticism around 5G NR. What exactly is 5G NR? What technologies and use cases will see first and why? Are wide-scale 2019 mobile deployments really possible? And what will the evolution of 5G NR bring beyond 2019?
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.
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
Next-Generation Wireless Overview & Outlook 7/7/20Mark Goldstein
On July 7, 2020 I presented a Next-Generation Wireless Overview & Outlook deep dive covering the next generation wireless landscape with its underlying emerging technologies, markets, and trends. I’ve tried to capture all of today's wireless essentials in this brief briefing. Enjoy!
gi-fi :the next generation wireless technologyHarshad Kale
Gigabit Wireless is the world‟s first transceiver integrated on a single chip which operates at 60GHz
on the CMOS process. Wireless transfer of large files, audio and video data upto
5 gigabits per second is
possible with this chip. The cost of wireless transfer rate is one
-
tenth and it provides ten times faster speed
within a range of 10 meters. It uses a 5mm square chip and a 1mm wide antenna burning less than 2milli
w
atts of power to transmit data wirelessly over short distances, similar to Bluetooth. Gi
-
Fi technology
provides
various different features like
High speed of data transfer, Low power consumption, High security,
Cost effective, Small size, Quick
deployment, Highly portable, high mobility etc.
Similar to What's in the future of 5G millimeter wave? (20)
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
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
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
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.
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.
Video data is abundant and being generated at ever increasing rates. Analyzing video with AI can provide valuable insights and capabilities for many applications ranging from autonomous driving and smart cameras to smartphones and extended reality. However, as video resolution and frame rates increase while AI video perception models become more complex, running these workloads in real time is becoming more challenging. This presentation explores the latest research that is enabling efficient video perception while maintaining neural network model accuracy. You’ll learn about:
- How video perception is crucial for understanding the world and making devices smarter
- The challenges of on-device real-time video perception at high resolution through AI
- Qualcomm AI Research’s latest research and techniques for efficient video perception
Checkout: https://www.qualcomm.com/AI
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/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. 2
2
New frontier of mobile broadband — mobilizing mmWave
Sub-7 GHz
(e.g., 3.5 GHz)
7 GHz 24 GHz 100 GHz
Vast amount of bandwidth that is ~25x more than what’s being used for 3G/4G
Millimeter wave (mmWave)
(e.g., 26 GHz, 28 GHz, 60 GHz)
Much more capacity
With dense spatial reuse
Multi-Gbps data rates
With large bandwidths (100s of MHz)
Lower latency
Bringing new opportunities
3. 3
• Fiber-like data speeds
• Low latency for real-time interactivity
• Massive capacity for unlimited data plans
• Lower cost per bit
5G NR mmWave
can support new
and enhanced
mobile experiences
Rich media and entertainment for
outdoor — augmenting lower bands
Massive bandwidth for
cloud computing
Dense indoor & outdoor
connectivity for venues
Virtually lag-less experiences
— e.g., multiplayer gaming
More indoor capacity as outdoor
mmWave offloads outdoor lower bands
New indoor opportunities —
e.g., connected enterprises
Fiber-like broadband to the
home — fixed mmWave
Beyond smartphones
— e.g., smart manufacturing
4. 4
4
1989: CDMA
We proved the skeptics wrong
Many argued that CDMA was too complex to
deploy. Others said it just wouldn’t work.
Qualcomm’s mission statement
“Qualcomm’s objective is to apply our experience to systems
problems that arise in the design, analysis, implementation and
testing of digital communication processing systems and
networks to bring reliable, functionally effective, user-friendly
products to the marketplace.”
Dr. Irwin Mark Jacobs
Dr. Andrew J. Viterbi
July 1, 1985
Solving system-level
problems is in our DNA
5. 5
We overcame the “impossible” mobile mmWave challenge
Limited coverage and too costly
Limited to just a few hundred feet, thus requiring many
small cells
Significant coverage with co-siting
Analog beamforming w/ narrow beam to overcome path loss.
Achieving significant coverage when reusing existing sites.
Works only line-of-sight (LOS)
Blockage from hand, body, walls, foliage, rain
severely limits signal propagation
Operating in LOS and Non- LOS
Pioneered advanced beamforming, beam tracking
leveraging path diversity and reflections.
Only viable for fixed use
Only commercially proven for wireless
backhauls and satellites
Supporting robust mobility
Robustness with adaptive beam steering and switching
to overcome blockage from hand, head, body, foliage.
Immature RFIC technology
Power hungry due to wider bandwidth with
thermal challenges in small formfactor
Commercialized smartphone
Launched modem, RF, and antenna products to meet
formfactor, thermal constraints and regulatory compliance.
Modem RF
Transceiver
RF Front-end
6. 6
A system approach to innovation — from vision to commercialization
Industry-leading
R&D
Breaking technology boundary
to bring new capabilities
and efficiencies for new devices,
services, deployments
1 2 3 4 5
Prototyping while
driving standards
Validating new designs by building
real systems — networks and
devices, driving standards with
learning
Advanced system
simulations
Using real models to accurately
predict system performance
in a wide range of scenarios
Broad industry
collaboration and trials
Working closely with the
ecosystem to prototype new
solutions, fully utilizing our global
experience
Cutting-edge system
solutions
Delivering not just device chipsets
but system solutions, such
as small cells, device and data
management
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc. and/or its subsidiaries.
7. 7
1990+
Demonstrated Non-line of sight
(NLOS) mmWave mobility with
beam steering, first at 5G
analyst day in October 2015
Commercial 5G NR
mmWave network and
devices including data
cards and smartphones
Many years of
foundational technology
research on mmWave,
MIMO, advanced RF
Sep. 2017 1H19+
MWC 2016 MWC 2018
MWC 2017
Showcased 5G NR
mmWave coverage
simulations announced
prototype mmWave UE
Sep. 2018
Demonstrated NLOS van
mobility with beam steering &
switching across access points
Announced first 3GPP-
compliant 5G NR
mmWave OTA call with a
mobile form factor device
Completed interoperability
testing with multiple
infrastructure vendors,
showcased 5G network
capacity simulations
Oct. 2017
Demonstrated world’s first 5G
mmWave connection based on
Snapdragon X50; announced
smartphone reference design
Oct. 2018
Introduced even smaller
5G NR RF module that
is 25% smaller in size
Dec. 2017
Achieved world’s first
5G NR mmWave
standards-compliant
connection with partner
Oct. 2016
Introduced world’s first
announced 5G modem, the
Qualcomm® Snapdragon™
X50, mmWave & sub-6 GHz
Many milestones to mobilize 5G NR mmWave
Mar. 2017
Led way forward on
accelerated 5G NR eMBB
workplan, to enable
mmWave launches in 2019
Sep. 2017
Launched world’s first mmWave
smartphone, Asus ZenFone,
supporting 802.11ad 60 GHz
5G NR field trials with
MNOs & infra vendors
MWC 2019
Announced our indoor and
outdoor mmWave e2e OTA
test networks and showcased
indoor mmWave simulations
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc. and/or its subsidiaries.
Announced our second
generation multimode 5G
modem, Qualcomm®
Snapdragon™ X55
Feb. 2019
Jul. 2018
Launched the world’s
first 5G NR RF module
for mobile devices
FSM100xx
May 2018
Introduced FSM100xx,
industry’s first 5G NR
solution for small cells
and remote radio heads
Feb. 2020
Announced our third generation 5G
modem, Qualcomm Snapdragon
X60, and continued to evolve our
mobile mmWave test network
Completed second 5G
standard — Release 16,
bringing enhanced mmWave
performance and efficiency
Jul. 2020
Continued mobile
mmWave evolution
13. 13
Delivering
on the 5G vision
Continue expansion to new verticals,
deployments, use cases, spectrum
Unified, future-proof
platform
Rel-17+ long-term expansion
• Lower complexity NR-Light
• Boundless extended reality (XR)
• Higher precision positioning and more…
Rel-15 eMBB focus
• 5G NR foundation
• Smartphones, FWA, PC
• Expanding to venues, enterprises
Rel-16 industry expansion
• eURLLC and TSN for IIoT
• NR in unlicensed (NR-U)
• Positioning
1. 3GPP start date indicates approval of study package (study item->work item->specifications), previous release continues beyond start of next release with functional freezes and ASN.1
• 5G V2X sidelink multicast
• In-band eMTC/NB-IoT
Rel-15
NR
Driving the 5G technology evolution
LTE essential part
of the 5G platform
Rel-15 commercialization Commercialization of Rel-16, 17, and future releases
Rel-18+ evolution
Rel-171
Rel-161
2018 2020
2019 2022
2021 2023+
14. 14
Expanding mmWave spectrum with the common framework
Further mmWave expansion
targeting future releases
Potential 5G
band for future
study
Potential 5G
band in study
Prioritized expansion of
mmWave in Rel-172
Supported mmWave
bands in Rel-15
Expansion of low/mid
band spectrum1
Prioritizing the
expansion to 71 GHz
Common
framework
Common
framework
Sub-7 GHz
(e.g., 3.5 GHz)
Millimeter wave
(e.g., 28, 39 GHz)
1. Rel-15 supported 450 MHz to 6 GHz; 2 To support global unlicensed 60 GHz bands, SCS scaling from 24.25-52.6 GHz band with same characteristics (e.g., waveforms)
7.125 GHz 24.25 GHz 52.6 GHz 71 GHz 114.25 GHz
410 MHz
15. 15
15
Distributing antennas to improve robustness and coverage
Beam overlap with
improved angular diversity
Flexible spatial reuse
from single mmWave cell
Range extension and
coverage around blockages
5G NR mmWave gNodeB and
remote radio heads (RRHs)
Wireless fronthaul
(e.g., 95 GHz)
Fiber
fronthaul
RRH
RRH
gNodeB
mmWave gNodeB
Rel-16 IAB improves coverage and
capacity, further enhancements in Rel-17+
gNodeB IAB node
IAB node
mmWave integrated access
and backhaul (IAB)
Extending coverage with simple
repeaters, smart repeaters in Rel-17+
Simple
Repeater
Smart
Repeater
gNodeB
mmWave link
mmWave repeaters
Adaptive multi-beam
operation and TDD
awareness
16. 16
Disaggregated architecture for integrated access & backhaul
5G core
network
IAB Donor
providing device interface to core network and
wireless backhauling for downstream IAB nodes
Central Unit
Control Plane
Other
functions
Central Unit
User Plane
Distributed
Units
5G mmWave
devices
IAB Node
5G mmWave
devices
5G mmWave
devices
Wireless
access
IAB donor components
IAB node components
DU DU
CU-
CP
CU-
UP
OF
MT
DU
Mobile Terminal
acts as a device for its
parent node
Distributed Unit
acts as a gNodeB for its child
nodes with L2 functionalities
(i.e., MAC scheduler)
17. 17
17
5G NR mmWave IAB1 for cost-efficient dense deployments
Traditional fiber backhaul
can be expensive for
mmWave cell sites
Improves coverage and capacity, while limiting backhaul cost
1 Integrated Access and Backhaul
• mmWave access inherently requires small cell deployment
• Running fiber to each cell site may not be feasible and can be cost prohibitive
• mmWave backhaul can have longer range compared to access
• mmWave access and backhaul can flexibly share common resources
Sub-6 GHz gNodeB
Fiber
backhaul
Multi-hop capability Redundant links
mmWave access
mmWave backhaul
For SA and
NSA 5G NR
modes
For mobile and fixed
wireless access
18. 18
Supporting a flexible network deployment strategy
IAB can enable rapid and cost-efficient 5G NR mmWave network buildout
Starting to connect new 5G NR
mmWave base stations using
limited/existing fiber links
Fiber
backhaul
Early 5G NR mmWave
deployments based on Rel-15
Incrementally deploying additional
base stations with IAB still using
limited/existing fiber links
Fiber
backhaul
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
IAB
Widening 5G NR mmWave
coverage using IAB
Deploying new fiber links for
selected IAB nodes as
capacity demands increase
Fiber
backhaul
Supporting rapid traffic
growth with additional fibers
19. 19
Evolving IAB for broader, more efficient deployment
Rel-17+ brings better capabilities, more flexible deployments, and new use cases
Smarter network planning
ML-based network management, zero-network
planning, increased IAB deployment tolerances
Enhanced QoS
Optimizations for latency-critical traffic
on backhaul and scheduling/signaling
improvements for multi-hop
LTE
Expanded backhaul
Wireless backhauling LTE and non-3GPP traffic
over 5G NR mmWave IAB supporting QoS
Enhanced multiplexing
Simultaneous access and backhaul
with spatial multiplexing or full duplex
Network power saving
IAB can be powered down during low traffic
and supporting dynamic broadcast config
Enhanced distributed IAB
Distributed unit (DU) context can be shared between
centralized units (CU), cross-CU configurations
Topological redundancy
Extension to support more than two parent IAB
nodes to achieve better reliability and capacity
Expanded spectrum
Unlicensed (e.g., 37, 60 GHz) or higher
mmWave bands (e.g., 71-114.25 GHz)
Mobile relay and sidelink
Coverage extension and offload with moving base
stations for portable deployment for e.g., disaster areas
20. 20
Spring 2020
Total number
of devices:
Total number
of IAB nodes:
Total simulation
area: ~1 km2
28
300
Deploying IAB to
expand mmWave
coverage
End-to-end system simulations
using 5G NR mmWave at 28 GHz
Link to full demonstration video
Frankfurt, Germany
Total number
of gNodeBs: 7
Network throughput improvement
Average downlink signal improvement
Map Legend
#
mmWave
devices
gNodeB site
IAB site
No IAB With IAB
mmWave coverage simulation results
21. 21
21
Further enhancing mmWave beam management in Rel-16+
1 Including proactive beam set switching, SCell beam failure recovery, and UL beam failure recovery; 2 Via device-based beam management that also helps to adhere to MPE - Maximum Permissible Exposure; for example,
when a finger is on top of a patch antenna, the MPE is significantly lower than otherwise (+34dBm vs. +8dBm)
• Supporting multi-beam repetitions
• More robust beam failure recovery
schemes1 for both UL and DL
Improved reliability
• Multiple antenna panels support to
improve throughput and diversity
• UL/DL beam selection decoupled for
optimal performance in both directions2
Higher performance Better mobility / coverage
• More efficient beam management
to support higher intra- and L1/L2
inter-cell mobility (e.g., expanded
beam selection)
22. 22
Total number
of devices:
Total number
of gNodeBs:
Total simulation
area: ~1 km2
113
300
Spring 2020
Showcasing
network benefits
of Multi-TRP
End-to-end system simulations
using 5G NR mmWave at 28 GHz
Link to full demonstration video
Frankfurt, Germany
Network throughput improvement Average device downlink signal improvement
Map Legend
#
Multi-TRP
devices
gNodeB
site
23. 23
Further improving
power efficiencies for
5G NR mmWave
Focusing on connected mode
power saving — 3GPP Rel-16+
Device assisted
power savings
Device provides additional information
(e.g., battery level & temperature) for
network to select carrier or power mode1
Sub-6 GHz
mmWave
Multi-panel beam
management
Antenna information is provided by
the device to enable more power-
efficient beam sweeping/switching
1 For example, using lower rank/CA during power-saving mode; 2 Wakeup Receiver; 3 Connected discontinued receive;
4 Power saving ranges from 10% to 80% over baseline C-DRX depending on the Ton and Tcycle configurations;
Integrated WUR2 with beam
management in C-DRX3
Beamformed wakeup signal
improves beam pairing success
and extends sleep4
Efficient carrier
aggregation operation
Reduce number of blind decoding
to optimize power consumption
Enhanced low-power
modes
Improve device power consumption
in idle and inactive modes
More efficient control
channel
Reduce processing overhead with
control channel (PDCCH) skipping
24. 24
Spring 2020
Total number
of devices:
Total number
of gNodeBs:
Total simulation
area: ~1 km2
96
1500
Simulating device
power saving
features
With R15 C-DRX baseline, R16
Wakeup Signal and Enhanced CA
Link to full demonstration video
Frankfurt, Germany
Wakeup Signal
Enhanced CA
25. 25
HD video surveillance
Immersive training
Industrial handhelds
5G Smart
Manufacturing
~4.8T
In global economic
value by 2035
5G mmWave
brings benefits
to a broad set of
industrial use cases
Precise indoor locationing Guided execution
Automation & motion control Mobile robots (e.g., AGV) Mobile workstations
Inherently ultra-low latency
Fiber-like data speeds
Massive capacity
Indoor / outdoor isolation
Simple deployment
* The 5G Economy in a Post-COVID-19 Era – an independent study from IHS Markit,
commissioned by Qualcomm Technologies, Inc.
27. 27
5G CoMPachieves ultra-reliability
Spatial diversity for eURLLC
1
to reach 99.9999% reliability
2
TRP 3
gNB
distributed
units
gNB centralized
unit and CoMP server
• Other diversity methods such as
frequency and time diversity are
not sufficient for URLLC
• CoMP is facilitated by denser
deployment of small cells with
high bandwidth backhaul
• For sub-7 GHz and mmWave,
licensed and unlicensed
spectrum in Rel-16
• Expanding to higher mmWave
bands (e.g., 60 GHz in Rel-17+)
Coordinated Multi
Point (CoMP) creates
spatial diversity
with redundant
communication paths
TRP TRP
1. Enhanced ultra-reliable low latency communication; 2. A performance requirements for communication service availability in 3GPP TS 22.104;
3. Transmission/Reception Point
28. 28
Further enhancing CoMP capabilities
Utilizing multiple transmission / reception points (Multi-TRP)
1 Hybrid ARQ acknowledgement; 2 Single frequency network
Robustness improvements
Beam sweeping for downlink/uplink control (e.g.,
HARQ ACK1) and uplink data channels
Inter-cell multi-TRP
Allowing TRPs from different cells/base stations to
work together in multi-TRP operations
Release 17+
Channel feedback enhancements
Quicker beam selection with fast feedback and
simultaneous uplinks to multiple TRPs
Power savings
Overhead reduction with optimized low-power mode
(e.g., WUS) procedures for multi-TRP scenarios
Enhanced mmWave operations
More efficient per-TRP beam failure recovery,
beamformed SFN2, joint beam selection across TRPs
Unlicensed spectrum enhancements
Group-based LBT procedure leveraging high-quality
backhaul, other channel access enhancements
29. 29
Further enhancing 5G mmWave design for industrial IoT
Reliability enhancements
Multi-beam operation
More candidate beams (e.g., beam sweeping for DL control, UL
control and data), device-based fast beam update
Latency enhancements
Beam failure recovery
Quicker beam failure detection and recovery procedure activation
based on device feedback
Beam management
Overhead reduction with pre-determined beam switching
(predictable device movements in IIoT environment)
Enhanced device feedback
Refined HARQ (hybrid automatic repeat request) feedback and
enhanced CSF (channel state feedback)
Release 17+ Enhancements
Improving reliability, capability, and performance
30. 30
Scaling down 5G mmWave for new IoT applications
5G NR-Light
mmWave
Lower complexity & power
Rel-17+
5G mmWave
Highest performance
Rel-15+
High-end
wearables
Surveillance
cameras
Industrial
sensors
Lower-tier
mobile devices
Lower device complexity
Power savings
Increased network efficiency
Coverage optimization
Reduced bandwidths
(e.g., 50/100 MHz)
Fewer antennas
Half duplex
Relaxed device processing
capability and time
Control overhead reduction
Enhanced power saving modes
Limited mobility and handovers
Repetition and bundling
Lower order modulation
Sidelink or relays
Reduced signaling overhead
Asymmetric traffic optimization
Better resource management
Service coexistence
31. 31
• For both indoor & outdoor
positioning
• Complementing existing
positioning technologies, such as
GNSS1, beacons, sensors, Wi-
Fi/Bluetooth
• Targeting accuracy and latency
that meet diverse service
requirements2
• Supported in sub-7 GHz and
mmWave
Supporting a
wide range of
new vertical
use cases
Supply chain visibility
Connected enterprises Drone tracking Smart retail
Public safety
Connected healthcare
Smart manufacturing
Indoor navigation
5G NR
Positioning
32. 32
32
Device-based positioning (e.g., multi-RTT, AoA) improves accuracy, reliability,
latency, flexibility, scalability, and tight integration with location applications
Evolving 5G NR positioning to fully meet 5G requirements
Release 17
Enhancing capability and performance for a wide range of use cases
Release 16
Meeting initial accuracy requirements of 3m
(indoor) to 10m (outdoors) for 80% of time
Time difference of
arrival (TDOA)
Roundtrip
time (RTT)
Angel of arrival /
departure (AoA/AoD)
Single-cell
positioning
Radius based on RTT
Position along circumference
based on UL AoA
Centimeter level accuracy
Meeting absolute accuracy
requirements of down to 0.3m
Lower latency positioning
Reducing positioning latency to as low as
10 ms (e.g., on-demand PRS, L1/L2 signaling)
Higher capacity
Scaling to millions of simultaneous
devices for e.g., IoT, automotive
New evaluation scenarios
Supporting new channel models
for industrial IoT environment
33. 33
Evolving 5G positioning for better accuracy and efficiency
Enhancements candidates for Release 17 and beyond
1 Positioning Reference Signals; 2 Apply to UL/DL and RTT based positioning techniques; 3 For techniques based on range measurements — different bands have different reflection/propagation characteristics but same
speed-of-light OTA; 4 Round Trip Time; 5 Time Difference of Arrival
Multi-carrier positioning
Aggregating contiguous carriers to
increase effective PRS bandwidth for
better accuracy
PRS 1 PRS 2 PRS 3
Effective PRS1
Inter-band measurements2
Comparing measurements from different bands (e.g.,
sub-7 vs. mmWave) to eliminate errors from NLOS paths3
Reflector (e.g., tinted glass, concrete)
Blockage
Lower band PRS
(e.g., sub-6 GHz)
Higher band PRS
(e.g., mmWave)
Reference node synchronization
Improving calibration of the positioning
reference nodes to minimize relative location /
synchronization errors
Node A
Node B
Node C
RTT4 measurement derives
inter-node distance
RTT + TDOA5
measurement derives
synchronization error
Positioning in low-power states
Measuring & reporting position in inactive /
idle modes to reduce power consumption
and latency
Device in inactive
/ idle mode
Sidelink positioning
Utilizing sidelink (i.e., PC5) for more
flexible positioning, for e.g., automotive
/ V2X use cases
On-demand PRS
Reducing broadcast overhead & positioning acquisition latency
and optimizing for different requirements, e.g., accuracy/latency
Request for PRS
Low-latency signaling
Layer 1 / 2 based signaling for PRS
transmission and management report
34. 34
5G NR sidelink extends coverage & targets new use cases
Building on LTE and C-V2X direct communication for sub-7 GHz and mmWave
High performance offload
Providing high data rate, low latency links to devices in
proximity, for use cases such as gaming, mission-critical
Wearable connectivity
Creating a personal area network to connect the smartphone
directly to wearables such as watches, XR, and more
Range extension
Extending coverage via direct communication, e.g., for massive
IoT devices (e.g., meters) with multi-hop mesh relays
Public safety
Enhancing existing LTE based system to enable services over
5G NR, including one-to-many device broadcast
35. 35
Breaking the technology
boundary with 5G mobile
mmWave evolution
Advanced 5G mmWave OTA test network
▪ 3GPP-compliant 5G mmWave network operating
at 28 GHz capable of 800 MHz bandwidth
▪ Robustness with crowd blocking and high-speed
mobility (i.e., device travelling on a drone)
▪ Boundless virtual reality (VR) experiences using
5G, edge cloud and on-device processing
5G mobile mmWave technology evolution
▪ System simulations of new features in Rel-16+
▪ Integrated access and backhaul
▪ Multiple transmission and reception point
▪ Advanced device power saving features
Mobile test device
on a drone
February 2020
36. 36
5G NR enhancements for mmWave
Integrated access and backhaul (IAB)
Enabling flexible deployment of small cells reusing
spectrum and equipment for access and backhaul
Enhanced beam management
Improving latency, robustness and performance with full
beam refinement and multi-antenna-panel beam support
Power saving features
Maximizing device sleep duration to improve power
consumption as well as allowing faster link feedback
Dual connectivity optimization
Reducing device initial access latency and improving
coverage when connected to multiple nodes
Completed Release 16 Projects
Positioning
Meeting initial accuracy requirements of 3m (indoor)
to 10m (outdoors) for 80% of time
Expanded spectrum support
Supporting licensed and unlicensed spectrum in
frequencies ranging from 52.6 GHz to 71 GHz
Optimized coverage & beam management
Reducing overhead, enhancing performance (e.g., beam
selection), improving coverage
New use cases beyond eMBB
Expanding mmWave support for sidelink, URLLC,
and industrial IoT use cases (e.g., NR-Light)
Improved IAB for distributed deployment
Introducing full duplex operations and mobile relays for
improved capability, coverage, and QoS
Release 17+ Projects
Enhanced positioning
Enhancing capability for a wide range of use cases
— cm-level accuracy, lower latency, higher capacity
37. 37
Continued evolution
Rel-15
eMBB focus
Rel-18, 19. 20 and beyond
Continued 5G proliferation
Rel-16 and 17
Expanding to new industries
Intelligently connecting
our world in the 5G era
Strong 5G momentum
sets the stage for the
global expansion
Historically 10 years
between generations
A unified connectivity
fabric this decade
Next technology leap
for new capabilities
and efficiencies