The document discusses 3GPP Release 17, which brings new system capabilities and expands 5G to new devices, applications, and deployments. Some key points:
- Release 17 completes the first phase of 5G evolution. It expands 5G to new reduced capability devices, applications in new industries, and deployment models like non-terrestrial networks.
- Release 17 enhances technologies like massive MIMO, mmWave expansion, device power savings, coverage, and ultra-reliable low latency communications. It also introduces integrated access and backhaul and simple repeaters to expand 5G mmWave coverage.
- The release further scales 5G NR to support a wide range of device classes from high-end smartphones to
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.
Intermediate: 5G Applications Architecture - A look at Application Functions ...3G4G
In this tutorial we look at the 5G Applications architecture. We discuss 5G applications, application functions and application servers and how they fit together in a 5G Service Based Architecture
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/
A high level introduction to Non-Standalone and Standalone 5G and what benefits will they bring to the businesses.
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/
- 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
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/
Mavenir: Why and How Private LTE & 5G Networks Are Rapidly Evolving for Enter...Mavenir
Dean Bubley, Founder of Disruptive Analysis and well known industry analyst, and Aniruddho Basu, Mavenir SVP/GM of Global Emerging Business, showcase the future of Private LTE & 5G Networks. Presentation from the "Why and How Private LTE & 5G Networks Are Rapidly Evolving for Enterprises" webinar.
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.
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.
Intermediate: 5G Applications Architecture - A look at Application Functions ...3G4G
In this tutorial we look at the 5G Applications architecture. We discuss 5G applications, application functions and application servers and how they fit together in a 5G Service Based Architecture
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/
A high level introduction to Non-Standalone and Standalone 5G and what benefits will they bring to the businesses.
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/
- 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
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/
Mavenir: Why and How Private LTE & 5G Networks Are Rapidly Evolving for Enter...Mavenir
Dean Bubley, Founder of Disruptive Analysis and well known industry analyst, and Aniruddho Basu, Mavenir SVP/GM of Global Emerging Business, showcase the future of Private LTE & 5G Networks. Presentation from the "Why and How Private LTE & 5G Networks Are Rapidly Evolving for Enterprises" webinar.
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.
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
For more in depth explanations check out my Blog: http://techneconomyblog.com/2014/05/21/the-abc-of-network-sharingthe-fundamentals-part-i/
Given the renewed discussion of Network Sharing pros and cons I thought it made sense to wrap up several of my older presentations and update some of the information with latest knowledge.
The myth of network sharing is clear -> huge savings and benefits often blinding the decision makers for the other side of the coin.
I hope this presentation provided a fair picture of both sides of the Network Sharing Coin!
The presentation provides more than 10 years of my work and experience since the early days of 3G Network Sharing discussions in 2000 - 2001.
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.
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...
Ericsson brings new updates to its 5G platform. Introducing 5G network services to support operators from preparation to 5G launch. Ericsson 5G services roadmap spans across three distinct phases, Prepare, Mobilize and Launch. Through our service offerings, Operators can now evolve their 4G network and smoothly start introducing 5G, reaching new heights on their journey to 5G.
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 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.
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
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/
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.
5G/NR wireless communication technology overview, architecture and its operating modes SA and NSA. Also an introduction to VoNR and other services overview of 5G network.
The key technologies of 5G namely MIMO and Network slicing are also explained.
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
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
For more in depth explanations check out my Blog: http://techneconomyblog.com/2014/05/21/the-abc-of-network-sharingthe-fundamentals-part-i/
Given the renewed discussion of Network Sharing pros and cons I thought it made sense to wrap up several of my older presentations and update some of the information with latest knowledge.
The myth of network sharing is clear -> huge savings and benefits often blinding the decision makers for the other side of the coin.
I hope this presentation provided a fair picture of both sides of the Network Sharing Coin!
The presentation provides more than 10 years of my work and experience since the early days of 3G Network Sharing discussions in 2000 - 2001.
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.
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...
Ericsson brings new updates to its 5G platform. Introducing 5G network services to support operators from preparation to 5G launch. Ericsson 5G services roadmap spans across three distinct phases, Prepare, Mobilize and Launch. Through our service offerings, Operators can now evolve their 4G network and smoothly start introducing 5G, reaching new heights on their journey to 5G.
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 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.
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
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/
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.
5G/NR wireless communication technology overview, architecture and its operating modes SA and NSA. Also an introduction to VoNR and other services overview of 5G network.
The key technologies of 5G namely MIMO and Network slicing are also explained.
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
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!
5G promises to change the way we live our lives, with unprecedented services and unparalleled user experience. Operators need to build an underlying connectivity infrastructure that is capable of delivering on demands like ultra-low latency and hyper-flexible bandwidth. This webinar will focus on the most critical aspects of the 5G transport network and discuss what is required in terms of slicing, edge computing and the need for openness and interworking. Addressing each of these aspects properly will enable operators to offer state of the art 5G services that will be the foundation of what some people believe will become the 4th industrial revolution.
Topics of discussion:
What factors and demands will influence the infrastructure design?
The impact of 5G on connectivity infrastructure and network requirements
The optional technological solutions and preferred solutions
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?
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
Next-Generation Wireless Overview & Outlook Update 12/8/21Mark Goldstein
Mark Goldstein of International Research Center presented a Next-Gen Wireless Overview & Outlook to the IEEE Computer Society Phoenix (https://ewh.ieee.org/r6/phoenix/compsociety/) on Wednesday, 12/8/21. He explored the next-generation wireless landscape with its underlying emerging technologies, protocols & standards, market trends & opportunities in a deep dive presentation covering all of today's wireless essentials. New spectrum and technologies driven by a rapidly evolving application landscape will be served up in innovative ways through 5G/6G mobile, Wi-Fi 6E, CBRS, White Space, mmWave, satellite & varieties of LPWAN connecting billions of new IoT sensors & devices spread around smart spaces & enabling autonomous transportation. Explore emerging wireless advances, roadblocks & operational challenges bringing you the insight and strategies to leverage emerging wireless opportunities going forward.
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
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.
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
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
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
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- 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
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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
Enabling the rise of the smartphone: Chronicling the developmental history at...Qualcomm Research
Today’s smartphones are a marvel of modern technology — handheld devices with vast computing power, incredible multimedia and AI capabilities, and blazing fast data rates that support mobile browsing, social media interaction, and more. From humble beginnings as a cellphone focused purely on voice communication, the capability and functionality of modern smartphones have advanced tremendously. This presentation chronicles Qualcomm’s role in the rise of the smartphone from its initial beginnings to becoming the largest computing platform in the world. It includes:
- Key technology developments that led to today’s smartphones
- The role of Moore’s Law in driving new innovations and additional integration into mobile processors
- Qualcomm’s critical role in advancing the smartphone’s capabilities through groundbreaking innovations and key technology developments
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
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This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
How world-class product teams are winning in the AI era by CEO and Founder, P...
3GPP Release 17: Completing the first phase of 5G evolution
1. 1
San Diego, CA March 24th, 2022
@QCOMResearch
3GPP Release 17:
To bring new system capabilities and expand 5G
to new devices, applications, and deployment
Completing the first phase of the 5G evolution
2. 2
205+
Operators with
5G commercially
deployed
Accelerating Globally
280+
Additional
operators
investing in 5G
750M+
5G smartphones
to ship in 2022
1B+
5G connections
by 2023 — 2 years
faster than 4G
5B+
5G smartphones
to ship between
2020 and 2025
1275+
5G designs
launched or in
development
2
Sources — 5G commercial networks, operators investing in 5G: GSA, Feb ‘22. 5G device shipment projections: Qualcomm estimates, Feb ‘22. 2023 5G connection projections: average of ABI (Sep ‘21), Ericsson (Jun ‘21) and
GSMA Intelligence (Sep 20==‘21). 5G cum. smartphone shipments: average of CCS Insight (Sept ‘21), Counterpoint Research (Dec ’21), IDC (Nov ‘21), Strategy Analytics (Oct ‘21); Launched / announced devices: GSA, Feb ’22.
3. 3
2018 2020
2019 2022
2021 2025
2023 2024 2026 2027+
Drop 1 Drop 2 Drop 3
2nd wave of 5G innovations
Rel-16 industry expansion Rel-17 continued expansion
Rel-15 eMBB focus Rel-18+ 5G-Advanced
• Unlicensed spectrum
(NR-U)
• Enhanced URLLC
• New functionalities:
Sidelink (NR V2X),
Positioning
• mmWave extended to 71GHz
• Lower complexity “NR-Light” (RedCap)
• Non-terrestrial communication (satellites):
NR NTN and NTN IoT
• Improved IIoT, positioning, V2X
• Enhanced IAB, RF repeaters
• 5G NR foundation
• Sub-7 and mmWave
• Scalable & forward compatible
• Basic URLLC support
• mMTC via eMTC & NB-IoT
• Next set of 5G releases
(i.e., 18, 19, 20, …)
• Rel-18 scope decided in Dec ’21
• Rel-18 study/work to start in Q2-2022
• 5G broadcast
• eMTC/NB-IoT with 5G
core
• Topology: IAB
• eMBB enh: MIMO, device
power, CA/DC, mobility
3
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
Driving the 5G technology evolution in the new decade
New verticals,
deployments,
use cases, spectrum
Longer-term evolution to
deliver on the 5G vision
Unified, future-proof platform
Rel-15
Rel-171
Rel-161
Rel-191
Rel-20+ evolution
Rel-181
4. 4
Reduced capability
devices (NR-Light)
mmWave
expansion
Topology
expansion
Device
enhancements
Non-terrestrial
networks (NTN)
Unlicensed
spectrum
Advanced power
saving and mobility
Mission-critical
design
Sidelink
High-precision
positioning
New deployment
models
Flexible slot-based
framework
Mobile
mmWave
Scalable numerology
Advanced
channel coding
Massive MIMO
4G
foundations
Fixed Wireless
and enterprise
Smartphones
and laptops
Boundless
extended reality
Automotive
Industrial IoT
IoT expansion
Enhancing
mobile
broadband
Enabling
new
verticals
Our innovations expand the foundation of 5G
Foundational Qualcomm innovations lead 3GPP Releases 15,16 and 17
4
5. 5
Fundamental
contributions to 3GPP
Cutting-edge
prototypes
Qualcomm innovation leadership in 3GPP Release 17
Reduced capability
devices (NR-Light)
mmWave
expansion
Topology
expansion
Device
enhancements
Non-terrestrial
networks (NTN)
For more efficient
deployments, public
safety, and others
Enhanced IAB, repeater,
C-V2X with vulnerable
road users
For ubiquitous
coverage and
expanded use cases
Satellite communications
for mobile devices and IoT,
leveraging 5G NR framework
For enhanced device
user experience
and performance
More antennas, higher throughput,
battery life, mobility, coverage,
positioning accuracy, multi-SIM
For expanded IoT:
wearables, sensors,
surveillance cameras
Lower complexity devices with 20 /
100 MHz max bandwidth in sub-7 /
mmWave with 1 or 2 Rx antennas
For more capacity,
new use cases
and deployments
Licensed and unlicensed
spectrum operations in
52.6-71 GHz
Early R&D
investments
6. 6
3GPP Release 17
Functional freeze in March 2022 and
ASN.1 freeze expected in June 2022
A key 5G milestone:
3GPP Release 17
Completion
New and
enhanced
5G system
capabilities
Expansion
to new 5G
devices and
applications
Further enhanced
massive MIMO
Spectrum
expansion
(60 GHz)
Device power
savings
Coverage
enhancements
Further enhanced
URLLC, private
networks, others…
Enhanced IAB
and
RF repeater
Non-
terrestrial
networks
(NTN)
Sidelink
expansion
Broadcast/
multicast
expansion
Boundless XR study,
others…
Enhanced
precise
positioning
NR-Light
(RedCap),
enhanced mIoT
6
8. 8
Source: RP-212535 (Further enhancements on MIMO for NR)
1 Transmission Configuration Indicator; 2 Downlink/Uplink; 3 Layer-1/Layer-2;
4 Transmission and Reception Points; 5 Quasi Co-Location;
6 Single Frequency Network; 7 Sounding Reference Signal;
8 Downlink Control Information; 9 Channel State Information;
10 Frequency Division Duplex
Uplink
Downlink
Further enhancing
5G massive MIMO
performance
Enhanced multi-beam operation
• Unified TCI1 framework in DL/UL2
to reduce latency and overhead
• UL beam selection for
multi-panel devices
• More efficient L1/L23
intra-and inter-cell mobility
SRS7 improvements
• More flexible triggering of aperiodic
SRS and DCI8 overhead reduction
• SRS switching for up to 8 antennas
• Improved SRS reliability such as
repetitions and time bundling
Enhanced multi-TRP4 deployment
• Improved reliability for DL control,
UL control and data channels
• QCL5 for inter-cell multi-TRP reusing
L1/L2 mobility measurements
• Beam management
for multi-panel Rx
• High-speed SFN6 enhancements
CSI9 measurement & reporting
• DL/UL reciprocity of angle
and delay for FDD10
• More dynamic channel/interference
hypotheses for non-coherent
joint transmission
Focus areas for Release 17 Work Item
8
9. 9
Uplink data channel (PUSCH2) enhancements
Increasing the maximum numbers of repetitions,
supporting transport block processing over multiple
slots, and enabling joint channel estimation across
multiple transmissions and frequency hopping
Message 3 enhancements
Supporting Type A PUSCH repetitions for capability
signaling, barring, and early indication
Uplink control channel (PUCCH3) enhancements
Supporting dynamic repetitions for better reliability,
DMRS4 bundling across repetitions based on
similar mechanisms for enabling joint channel
estimation for PUSCH
Source: in RP-211566 (NR coverage enhancements )
1 Non-terrestrial Network; 2 Physical Uplink Shared Channel;
3 Physical Uplink Control Channel; 4 Demodulation Reference Signal
Improving 5G
uplink coverage
Targeting urban and rural deployments
using sub-7 GHz and mmWave,
also applies to satellites (NTN1)
communication
Coverage enhancements Work Item
3GPP Release 17
10. 10
Source: RP-212630 (UE Power Saving Enhancements)
1 Tracking Reference Signal; 2 Channel State Information Reference Signal; 3 Physical Downlink Control Channel; 4 Downlink Control Information; 5 Bandwidth Part;
6 Connected Discontinued Reception; 7 Radio Link Monitoring; 8 Bidirectional Forwarding Detection; 9 Discontinued Reception
For idle/inactive mode
Techniques to reduce unnecessary
device paging reception (false alarms)
without impacting legacy devices
Providing potential TRS1/CSI-RS2
to devices in idle/inactive mode with
minimized system overhead impact
Supporting PDCCH3-based permanent
equipment identifier (PEI)
For connected mode
Extending to Rel-16 DCI4-based
power saving adaptation for an
active BWP5, including PDCCH
monitoring skipping during C-DRX6
Relaxing device measurement for
RLM7 and/or BFD8 for low mobility
devices with short DRX9 cycle
Rel-17 power saving
enhancements
Further enhancing device power efficiency
Building on Rel-16 device
power saving design
11. 11
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);
3 Subcarrier Spacing; 4 Synchronization Signals Block; 5 Listen-Before-Talk
Scaling 5G NR design to support 60 GHz unlicensed band
Further mmWave expansion
targeting future releases
Potential bands
for future study
Potential 5G
band in study
Prioritized expansion of
mmWave to 71 GHz in Rel-172
Supported mmWave
bands in Rel-15
Expansion of low/mid
band spectrum1
Common
framework
Common
framework
7.125 GHz 24.25 GHz 52.6 GHz 71 GHz 114.25 GHz
410 MHz
Sub-7 GHz: “FR1”
(Up to 7.125 GHz)
mmWave: “FR2-1”
(24.25 — 52.6 GHz)
mmWave: “FR2-2”
(52.6 — 71 GHz)
SCS3 for control/data channels
Leveraging existing design of 120 kHz, and
scaling to wider numerology of 480 kHz
and 960 kHz
SSB4 numerology
Supporting 120 kHz (480 kHz optional) for initial
access, 120 kHz (480 kHz, 960 kHz optional) for
non-initial access, and 64 SSB beams
Channel access mechanisms
Supporting flexible deployment in
unlicensed spectrum utilizing LBT5,
directional LBT, or no LBT
Beam management
Reusing designs based on existing
mmWave frequency range (FR2-1)
established in Release 15 and 16
Design Principles
12. 12
Source: RP-210854 (Enhanced Industrial Internet of Things and ultra-reliable and low latency communication support for NR)
1 Hybrid Automatic Repeat Request Acknowledge; 2 Channel State Information; 3 Sounding Reference Signal; 4 Modulation and Coding Scheme; 5 PUCCH – Physical Uplink Control Channel;
6 Channel Quality Indicator; 7 Channel Occupancy Time; 8 Frame Based Equipment; 9 NR Unlicensed; 10 Ultra Reliable Low Latency Communication; 11 Physical Uplink Shared Channel;
12 Carrier Aggregation; 13 Round Trip Time; 14 Time Sensitive Networking; 15 Quality of Service
Further enhancing ultra-reliable, low-latency communications
Release 17 Work Item targeting to meet more stringent requirements of Industry 4.0 applications
Enhanced
physical layer
feedback
Improved
compatibility
for unlicensed
spectrum
Intra-device
multiplexing
and prioritization
Enhanced
time
synchronization
Network
enhancements
• Improved device
feedback for
HARQ-ACK1
• New mechanism
triggered aperiodic
CSI2 and SRS3 for
more accurate
MCS4 selection
• Improved reliability
with uplink control5
on two carriers
• Subband CQI6 with
more granularity
• Supporting
device-initiated
COT7 for FBE8
• Harmonizing uplink
configured-grant
enhancements in
Rel-16 NR-U9 and
URLLC10 to be
applicable for
unlicensed spectrum
• Handling low-priority
traffic on eMBB without
impacting data flow
in case of URLLC
concurrency
• Parallel PUCCH
and PUSCH11
transmissions on
different component
carriers for
inter-band CA12
Supporting uplink RTT13-
based method for TSN14
and improved propagation
delay compensation
Based on new QoS15
related parameters
such as survival time,
burst spread
HARQ ACKs
Service 1
Service 2
13. 13
13
Source: RP-213514 (WID for NR Repeaters); RP-213668 (WID for IAB enh)
Efficiently expand 5G mmWave coverage
New mmWave infrastructure options introduced as part of Release 17
Simple
Repeater
gNodeB
mmWave
link
Simple
Repeater
gNodeB
IAB node
IAB node
RF Repeaters
Introduced RF repeaters (without adaptive beamforming)
that can operate in sub-7 GHz (FDD/TDD) and mmWave,
leveraging IAB and LTE repeaters work;
“Smart” network-controlled repeater in Rel-18
Integrated Access & Backhaul (IAB)
Enhanced Rel-16 IAB design by adding support for
simultaneous Tx and Rx (spatially separated full duplex),
inter-donor migration / handover, and multi-hop
efficiency enhancements
14. 14
Continued expansion
to new device types
and tiers — fulfilling
the 5G vision
Proliferate 5G
to virtually all
devices and
use cases
15. 15
15
1 Also including satellite access; 2 Data rate of 150 Mbps DL / 50 Mbps UL, latency of 10-30 ms, 10-3 to 10-5 reliability, coverage MCL of 143 dB; 3 Data rate of 1Mbps, MCL of 155.7 dB (eMTC) and 164 dB (NB-IoT)
5G NR: A unified, scalable air interface allowing
coexistence of a wide range of 5G device classes
eMBB/URLLC
Highest performance
Smart
grid
High-end
wearables
Health
monitors
Surveillance
cameras
High-end
logistic trackers
Industrial
sensors
Reduced Capability
(NR-Light)
Rel-17
Lower complexity2
and power
eMTC/NB-IoT1
Lowest complexity3,
delay tolerant
Low-end
industrial
sensors
Smart city
(e.g., meters)
Agriculture
sensors
Utility
meters
Low-end
wearables
Low-end
asset trackers
16. 16
16
Source: RP-211574 (Support of reduced capability NR devices)
Scaling down 5G NR for lower complexity IoT devices
Reduced signaling overhead
Simplified core network
Better resource management
Narrower bandwidths
(20 MHz in sub-7, 100 MHz in mmWave)
Fewer receive antennas
(1 or 2 Rx)
Half duplex
Lower transmit power
Enhanced power saving modes
Limited mobility and handovers
Repetition and bundling
Lower order modulation
(256-QAM optional)
Sidelink or relays
Lower device
complexity
Reduced power
consumption
Increased network
efficiency
Coverage
optimization
5G NR
Technology
Foundation
Reduced Capability (NR-Light)
Release 17
17. 17
Source: RP-211340 (Additional enhancements for NB-IoT and LTE-MTC)
1 Transport Block Size; 2 Hybrid Automatic Repeat Request; 3 Frequency Division Duplex;
4 Physical Uplink Shared Channel; 5 Physical Resource Block; 6 Radio Link Failure
Continued 5G massive IoT evolution with eMTC/NB-IoT
Release 17 Work Item enhancements
Maximum
throughput
Rel-13
Baseline
Rel-13/14/15
Enhancements
Rel-17
Enhancements
5G Massive IoT Data Rates
1.2 Mbps
588 kbps
300 kbps
28 kbps
127 kbps
254 kbps
Higher data rates supported by NR-Light (RedCap), LTE Cat-1, …
eMTC
NB-IoT
eMTC enhancements
Supporting larger TBS1 sizes
and 14 HARQ2 processes
to increase data rate for
half-duplex FDD3 devices
Supporting power boosting
for devices with PUSCH4
sub-PRB5 resource allocation
Adding an optional device
capability to support a
maximum DL TBS of
1,736 bits for half-duplex
FDD devices
NB-IoT enhancements
Supporting 16-QAM for UL
and DL unicast, increasing
in maximum TBS sizes for
DL compared to Rel-16
NB-IoT and extended
channel quality reporting
Reducing the time taken
to recover from RLF6, with
new signaling for neighbor
cell measurements and
triggering
Introducing carrier selection
based on coverage level
and associated carrier
specific configurations
18. 18
18
Source: RP-210908 (NTN Enhancements); RP-211601 (NB-IoT/eMTC support for Non-Terrestrial Networks )
1 Enhanced Packet Core
Release 17 establishes 5G NR support
for satellites communication
5G NR for NTN 5G IoT for NTN
Complementing terrestrial networks
in underserved areas
Expanding addressable market
for the 5G massive IoT
LEO, GEO, HAPS, air-to-
ground communications
Supporting satellites backhaul communication for CPEs and direct
link to handhelds (e.g., smartphones) for low data rate services
Utilizing sub-7 GHz S-band with additional bands added in the
future (e.g., 10+ GHz in Rel-18 proposed)
LEO, GEO, PC3/PC5 satellites
with intermittent access link
Supporting diverse use cases, including transportation, utilities
(e.g., solar, oil/gas), farming, mining, environmental monitoring
Utilizing sub-7 GHz band for both eMTC and NB-IoT,
with LTE EPC1 only in standalone network
19. 19
Source: RP-202846 (NR Sidelink enhancement); RP-212601 (NR Sidelink Relay)
1TR 36.843 and/or TR 38.840; 2 Intelligent Transport System
Release 17 Work Item expands
sidelink to new use cases Updated sidelink evaluation methodology
Reusing existing evaluation assumption and performance metric1,
based on feedback from car manufacturers
Improved resource allocation
Reducing device latency, power consumption, and improving reliability (e.g., half
duplex, collision detection indication, control forwarding, inter-device coordination)
Power saving enhancements
Defining sidelink DRX for broadcast, groupcast, unicast, and power-efficient
resource selection for devices
New sidelink frequency bands
Ensuring sidelink and network communication coexistence in the same
and adjacent channels in licensed spectrum
Geographic confinement
Limiting sidelink operations to be within a predetermined area for a given
frequency range in non-ITS2 bands
Sidelink relay
L2/L3 device to network relay for coverage extension,
Follow-up work Item for device-to-device relay in scope for Release 18
Release 17 Sidelink
Enhancements
For public safety, IoT,
commercial use cases
and beyond
19
20. 20
20
Source: RP-210903 (NR Positioning Enhancements); RP-201518 (Positioning use cases for V2X & PubS)
1 Roundtrip Time; 2 Angle of Arrival, Angle of Departure; 3 Time Difference of Arrival; 4 Including a Study for sidelink positioning for V2X and public safety; 5 Non-line-of-slight; 6 Positioning Reference Signal; 7 Global Navigation
Satellite System; 8 Indian Regional Navigation Satellite System
Pushing forward with the 5G positioning technologies
Release 16
Establishing foundation
Achieving accuracy of 3m/10m
(indoor/outdoor) for 80% of time
Supporting RTT1, AoA/AoD2,
TDOA3, single-cell positioning
Including new evaluation
scenarios, i.e., industrial IoT
Release 17
Enhancing capability and performance for a wide range of use cases4
5G positioning
evolution in
Release 18+
Improving performance,
expanding to new devices
and deployments
Centimeter-level
accuracy
Meeting accuracy requirements
for commercial use cases (<1m)
and IIoT (<0.2m within 100ms)
• Mitigating device and base
station Rx/Tx timing delays
• Improving accuracy for UL
AoA and DL-AoD positioning
• Enhancing information
reporting for multipath &
NLOS5 mitigation
Reduced positioning
latency
Optimizing positioning latency to as
low as 10ms, related to the request /
response of location, device
measurement time and gaps
Improved efficiency
Scaling to higher capacity by
supporting device positioning in
inactive state and on-demand PRS6,
triggered by network or device
GNSS7
enhancements
Improve the performance
and efficiency for 5G
positioning with assistance
information from GNSS,
supporting GNSS
positioning integrity
determination, BeiDou
positioning signals (BDS
B2a and B3I), and NavIC8
for 5G NR
5G positioning evolution 5G Advanced
21. 21
Source: RP-210460 (Study on XR Evaluations for NR)
Optimizing 5G NR for
Boundless XR experiences
Release 17 Study Item for XR over 5G NR —
Work Item in scope for Release 18
Edge Cloud
Use cases in scope
Conversational XR Cloud gaming
Split rendering Viewpoint dependent streaming
Distributed computing
Traffic requirement
Identifying requirements for use cases in scope,
such as roundtrip time, one-way packet delay budget,
and packet error rate, taking different upper layer
assumptions into consideration
Evaluation methodology
Assessing XR (including VR, AR) and cloud gaming
performance along with identification of KPIs for
relevant deployment scenarios
Performance evaluation
Carrying out characterization of XR system performance
based on agreed upon evaluation methodologies
22. 22
22
Adding support
for 6/7/8 MHz
carrier
bandwidths2
to support
UHF bands
Optimizing modem
resource usage
and enabling
fast broadcast
service discovery
Targeting low-
latency broadcast
distribution
and 5G media
streaming
UHF1
broadcast
frequencies
Simultaneous
broadcast +
unicast
CMAF3-based
streaming
ecosystem
5G Mixed-mode Multicast (Rel-17)
5G Standalone Broadcast (Rel-17)
Enabling dynamic
switching between
unicast & broadcast
(e.g., for public
safety use cases)
Broadcast and
unicast dynamic
switching
Unicast
Improved
robustness and
efficiency
Supporting uplink
HARQ6 feedback
and retransmissions
for link adaptation
and reliability
Re Tx
NACK
ACK
ACK
Supporting group
scheduling, mobility,
DRX4, reception in
idle and transparent
SFN5
Multicast
operation for
5G NR
Source: RP-211144 (New bands and bandwidth allocation for LTE based 5G terrestrial broadcast); RP-201038 (Revised Work Item on NR Multicast and Broadcast Services)
1 Ultra high frequency, i.e., 470 to 698 MHz; 2 In additions to currently support carrier bandwidths of 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz, 20MHz;
3 Common media application format; 4 Discontinued Reception; 5 Single Frequency Network; 6 Hybrid Automatic Repeat Request
Continue to evolve the end-to-end design for 5G broadcast
22
23. 23
Source: RP-211345 (NR Dynamic spectrum sharing ); RP-201040 (Further Multi-RAT Dual-Connectivity enhancements); RP-213679 (Multi-SIM?); RP-202886 (NR DL 1024-QAM); RP-212594 (NR small data transmissions in
INACTIVE state); RP-210833/210800 (NR High Speed Train); RP-211203 (NR Uplink Data Compression); RP-212534 (Enhancement of RAN Slicing for NR); RP-213574 (Data collection for SON/MDT); RP-201620 (Enhancement for
data collection for NR and ENDC); RP-211406 (NR QoE management and optimizations for diverse services); RP-212585 (Enhancement of Private Network Support); RP-213669 (UPIP support for EPC connected architectures)
1 Dynamic Spectrum Sharing; 2 Physical Downlink Control Channel; 3 Secondary Cell; 4 Primary/Secondary Cell; 5 Dual Connectivity; 6 Secondary Cell Group; 7 Subscriber Identity Module; 8 Mobile Network Operator; 9 Random
Access Procedure; 10 Self Organizing Network, Minimization of Drive Test; 11 Radio Access Network;12 Packet Data Convergence Protocol
Other RAN
projects in
3GPP
Release 17
DSS1 enhancements
Enable PDCCH2 cross-carrier scheduling
from a SCell3 to a P(S)cell4 in sub-7 GHz
Enhanced multi-radio DC5
Support efficient activation/de-activation
of one SCG6 and SCells, and conditional
PSCell change/addition
Multi-SIM7
Support dual-standby, 1 active and
1 idle SIM, device-indicating network
switch, and SIM from different MNOs8
Higher-order modulation
Support 1024-QAM for downlink and
256-QAM for sub-7 GHz uplink
communication
Small data transmission
Allow uplink data in inactive mode
(in either 2-step or 4-step RACH9) with
defined small data request message
High-speed train
Optimize 5G support for high-speed
trains for both sub-7 GHz and mmWave
Uplink data compression
Utilize LTE procedure as baseline for
5G NR Standalone mode only
Enhanced data collection
Add new data categories for SON/MDT10
(mobility, energy saving, capacity, coverage, …),
and for RAN AI (use cases, types of input/output)
Quality of experience
Enable measurement collection in
Standalone mode with mobility
continuity and per-slice support.
Enhanced private network
Access to standalone private networks
using credentials from a different
entity, IMS voice, emergency services.
User-plane integrity protection
Strengthen 5G security with integrity
protection for user-plane in addition to
control-plane using 5G NR PDCP12
RAN11 slicing
Support slice-based cell reselection,
RACH configuration, service continuity,
enforcement of slice maximum bit rate
25. 25
Leading the 5G Advanced
technology evolution on
the path to 6G
Creating new value across applications
Green Networks
Enabling the Metaverse
25
26. 26
5G Advanced: 2nd wave of 5G innovations
Driving the 5G Advanced technology evolution in the new decade
New verticals,
deployments, use
cases, spectrum
Longer-term evolution to deliver on the 5G vision
Unified, future-
proof platform
Rel-15
Rel-17
Rel-16
Rel-19
Rel-20+ evolution
Rel-18
2018 2020
2019 2022
2021 2025
2023 2024 2026 2027+
Next technology leap for new
capabilities and efficiencies
27. 27
27
Driving a balanced 5G evolution across key technology areas
Mobile broadband evolution vs.
further vertical expansion
Immediate commercial needs vs.
longer-term 5G vision
New and enhanced devices
vs. network evolution
Deliver enhanced mobile broadband
experiences and extend 5G’s reach
into new use cases
Drive new value in commercialization
efforts and fully realize 5G’s potential
with future deployments
Focus on the end-to-end technology
evolution of the 5G system to bring
new levels of performance
Release 18 scope takes into consideration of the 5G Advanced evolution in Release 18, 19,
and beyond (i.e., many Study Items defined to set up for Work Items in later releases)
28. 28
Approved package has
a wide range of projects —
nominal work to start
in Q2 2022
3GPP
Release 18
sets off the
5G Advanced
Evolution
Release 18
Strengthen the end-to-end
5G system foundation
Advanced
DL/UL MIMO
Enhanced
mobility
Mobile IAB,
smart repeater
AI/ML data-driven
designs
Green
networks
Evolved
duplexing
Proliferate 5G to virtually
all devices and use cases
Boundless
extended reality
Expanded
sidelink
NR-Light (RedCap)
evolution
Multicast & other
enhancements
Expanded
positioning
Drones & expanded
satellites comm.
29. 29
Merging worlds
New interface opportunities through
New human
interface
The
Physical
world
Digital
world
Virtual
world
Ubiquitous, low-power sensing and
monitoring with near real-time actions
Immersive interactions take human
augmentation to the next level
Metaverse
Spatial
computing
Digitization
30. 30
30
Key research vectors enabling the path towards 6G
New radio designs
Evolution of duplexing schemes, Giga-MIMO,
mmWave evolution, reconfigurable intelligent
surfaces, non-terrestrial communications,
waveform/coding for MHz to THz,
system energy efficiency
Communications resiliency
Multifaceted trust and configurable security,
post quantum security, robust networks
tolerant to failures and attacks
Merging of worlds
Physical, digital, virtual, immersive
interactions taking human augmentation
to next level via ubiquitous, low-power
joint communication and sensing
AI/ML powered E2E communications
Data-driven communication and
network design, with joint training,
model sharing and distributed inference
across networks and devices
Scalable network architecture
Disaggregation and virtualization
at the Connected Intelligent Edge,
use of advanced topologies to
address growing demand
Spectrum expansion & sharing
Expanding to THz, wide-area expansion
to higher bands, new spectrum sharing
paradigm, dynamic coordination with
environmental awareness
Design goals &
performance
vectors
Cost efficiency
Capacity
Coverage
User experience
Latency
Reliability Security
Energy efficiency Positioning capability
Connection density
Ease of onboarding
Data rate Scalability
Spectral efficiency
Mobility Intelligence
And others…
31. 31
Rel-15
eMBB focus
Rel-18, 19. 20 and beyond
Continued 5G proliferation
Rel-16 and 17 expanding
to new industries
Continued evolution
Strong 5G momentum sets
stage for global expansion
A unified connectivity
fabric for this decade
Next technology leap
for new capabilities
and efficiencies
Historically 10 years
between generations
Innovating to pave the path to 6G