This presentation covers how:
- The evolutionary roadmap for C-V2X towards 5G
will be key for safety and autonomous driving
- C-V2X provides a higher performance radio, reusing
upper layers defined by the automotive industry
- C-V2X is gaining momentum and broad ecosystem support
- Qualcomm is leading the way to 5G; accelerating
the future of autonomous vehicles
Introducing new Cellular V2X technologies, designed to connect vehicles to each other (V2V), to pedestrians (V2P), to roadway infrastructure (V2I), to the network (V2N) — to basically everything (V2X).
Intermediate: Vehicle to Everything (V2X) Introduction3G4G
A short introduction to what is meant by V2X or Vehicle to Everything
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/
This presentation is focused on Automotive and 5G, the drivers, the current status and the challenges including network slicing and management and orchestration
The slides include the introduction to vehicular technology, two radio access vehicular technology DSRC & C-V2X. Also Vehicular Named Data Networking (V-NDN) along with research challenges and future research directions is presented.
A presentation by John Kenney of Toyota InfoTechnology Center on Apr 9 2019 to the Silicon Valley Automotive Open Source Group: https://www.meetup.com/Silicon-Valley-Automotive-Open-Source/events/259384384/
This presentation covers how:
- The evolutionary roadmap for C-V2X towards 5G
will be key for safety and autonomous driving
- C-V2X provides a higher performance radio, reusing
upper layers defined by the automotive industry
- C-V2X is gaining momentum and broad ecosystem support
- Qualcomm is leading the way to 5G; accelerating
the future of autonomous vehicles
Introducing new Cellular V2X technologies, designed to connect vehicles to each other (V2V), to pedestrians (V2P), to roadway infrastructure (V2I), to the network (V2N) — to basically everything (V2X).
Intermediate: Vehicle to Everything (V2X) Introduction3G4G
A short introduction to what is meant by V2X or Vehicle to Everything
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/
This presentation is focused on Automotive and 5G, the drivers, the current status and the challenges including network slicing and management and orchestration
The slides include the introduction to vehicular technology, two radio access vehicular technology DSRC & C-V2X. Also Vehicular Named Data Networking (V-NDN) along with research challenges and future research directions is presented.
A presentation by John Kenney of Toyota InfoTechnology Center on Apr 9 2019 to the Silicon Valley Automotive Open Source Group: https://www.meetup.com/Silicon-Valley-Automotive-Open-Source/events/259384384/
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)
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.
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/
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.
5G Network Architecture, Design and Optimisation3G4G
Presented by Prof. Andy Sutton, Principal Network Architect, Architecture & Strategy, TSO, BT at The IET '5G - State of Play' conference on 24th January 2018
*** SHARED WITH PERMISSION ***
6G Training Course Part 9: Course Summary & Conclusion3G4G
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 are providing a summary of the course and concluding with the next steps. Hopefully you found this course informative and useful. Do let us know what you thought and how do you think the 6G journey will proceed.
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/
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/
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
This presentation covers an industry perspective and a roadmap towards 5G with open and democratized interfaces. It covers examples of open reference platforms and how open source communities can complement standard bodies such as 3GPP and IEEE. It characterizes RAN and user and control plane core micro services and discusses opportunities for embedded network telemetry for emerging machine learning applications.
Speaker: Tom Tofigh, Principal Member of Technical Staff (Architect) at AT&T
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.
Huawei about LTE V2X Standardisation in 3GPPEiko Seidel
3GPP will standardize a V2X system in Rel.14. The presentation outlines the Huawei vision on V2X and the status in 3GPP. Please contact me for related updates on 3GPP standardisation.
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.
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.
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.
This presentation was about accelerating 5G for autonomous driving, presented at a Symposium on the Future Networked Car 2018 (FNC-2018) (Geneva, Switzerland, 8 March 2018).
For more information kindly refer to the link https://www.itu.int/en/fnc/2018/Pages/programme.aspx
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)
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.
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/
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.
5G Network Architecture, Design and Optimisation3G4G
Presented by Prof. Andy Sutton, Principal Network Architect, Architecture & Strategy, TSO, BT at The IET '5G - State of Play' conference on 24th January 2018
*** SHARED WITH PERMISSION ***
6G Training Course Part 9: Course Summary & Conclusion3G4G
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 are providing a summary of the course and concluding with the next steps. Hopefully you found this course informative and useful. Do let us know what you thought and how do you think the 6G journey will proceed.
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/
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/
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
This presentation covers an industry perspective and a roadmap towards 5G with open and democratized interfaces. It covers examples of open reference platforms and how open source communities can complement standard bodies such as 3GPP and IEEE. It characterizes RAN and user and control plane core micro services and discusses opportunities for embedded network telemetry for emerging machine learning applications.
Speaker: Tom Tofigh, Principal Member of Technical Staff (Architect) at AT&T
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.
Huawei about LTE V2X Standardisation in 3GPPEiko Seidel
3GPP will standardize a V2X system in Rel.14. The presentation outlines the Huawei vision on V2X and the status in 3GPP. Please contact me for related updates on 3GPP standardisation.
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.
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.
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.
This presentation was about accelerating 5G for autonomous driving, presented at a Symposium on the Future Networked Car 2018 (FNC-2018) (Geneva, Switzerland, 8 March 2018).
For more information kindly refer to the link https://www.itu.int/en/fnc/2018/Pages/programme.aspx
2015 D-STOP Symposium session by Samsung Research America's Thomas Novlan. Watch the presentation at http://youtu.be/cO6qCwhVz8A?t=17m57s
Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
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
A Maritime Technology Partner for Growth and Innovation - ST Engineering iDirectST Engineering iDirect
The question is no longer whether VSAT is the right choice for onboard connectivity—VSAT networks rule the seas—but how will maritime operators get the most value from their connectivity investment, especially as they manage larger deployments and support a growing range of applications.
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?
APTA Transitech Presentation- Commuter Rail Wireless MeshAngela Miller
Presentation to the American Public Transportation Association on NCTD\'s COASTER wireless mesh network for Security and Passenger Communications Systems
X-Haul: towards an integrated 5G transport network architectureADVA
The paradigm shift towards RAN virtualization and the disaggregation of RAN functional components create a new X-Haul concept (including fronthaul, midhaul and backhaul). New fronthaul requirements for the transport network are significantly more stringent, including higher data rates, reliability, low latency, and synchronization compared to the backhaul. In this Cambridge Wireless presentation, Anthony Magee discussed the reality and vision for X-Haul transport networks to utilize heterogeneous transmission links, such as fiber or wireless to interconnect remote radios, data centers for edge compute processing and mobile core networks.
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.
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
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.
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.
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
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2. 2
Our presenter
Shailesh Patil
Principal Manager/Engineer
Qualcomm Technologies, Inc.
Today’s agenda
• Rel 14/15 C-V2X momentum
• How does NR C-V2X bring advanced use cases?
• NR C-V2X demos and over-the-air simulations
• Questions?
3. 33
V2P
Vehicle-to-pedestrian
e.g., safety alerts to pedestrians, bicyclists
V2V
Vehicle-to-vehicle
e.g., collision avoidance safety systems
V2N
Vehicle-to-network
e.g., real-time traffic/routing, cloud services
V2I
Vehicle-to-infrastructure
e.g., roadside traffic signal timing/priority
C-V2X
Rel 14/15 C-V2X
established basic safety
Rel 16 NR C-V2X saw
continued evolution for
advanced use cases
Release 14/15 C-V2X standards
completed
Broad industry support with 5GAA
Global trials started in 2017; first commercial
deployment expected in 2020
Qualcomm
®
9150 C-V2X chipset announced
in September, 2017
Integration of C-V2X into the Qualcomm
®
Snapdragon™
Automotive 4G and 5G
Platforms announced in February, 2019
Qualcomm 9150 C-V2X and Qualcomm Snapdragon Automotive 4G/5G Platforms are products of Qualcomm Technologies, Inc. and/or its subsidiaries.
5. 5
CAMP
PSA
BMW
Daimler
SAIC
Continental
Bosch
LG
ZTE
Ford
Lear
Valeo
WNC
CMCC
AT&T
NTT DoCoMo
CMRI
McCain
Quectel
SWARCO
Commsignia
Genvict
Nebulalink
R&S
Datang
Ficosa
Savari
Kapsch
Neusoft Reach
Simcom
Sasken,
Thundersoft
Telit
Lacroix
And more…
Collaborating with key
ecosystem players
North
America
Ford, GM, Hyundai,
Nissan, CAMP1
Europe
Audi, BMW,
FCA, PSA
China
SAIC
Korea
Japan
Nissan, OKI, DCM
Australia
Japanese OEM
Gaining traction across numerous
regions and industry sectors
From standards completion to independent
field testing to initial deployments
1. CAMP = Crash Avoidance Metrics Partnership LLC and this project includes the listed OEMs and Qualcomm.
Driving C-V2X global presence
with trials and demos
5GAA Automotive
Association
• 8 of the top 9 global automakers
• Top automotive Tier 1 suppliers
• 9 of the top 10 global telecommunications companies
• Top 3 global smartphone manufacturers
• Top global semiconductor companies
• Top 5 global wireless infrastructure companies
• Top global test and measurement companies
and certification entities
• Global representation from Europe, China, US,
Japan, Korea, and elsewhere
6. 6
Strong C-V2X
momentum globally
Sep. 2016
5GAA
founded
Jan. 2017
ConVeX trial
in Germany
announced
Mar. 2017
Rel-14 C-V2X
spec finalized
Feb. 2017
Towards 5G
trial in France
announced
Sep. 2017
First C-V2X
chipset
introduced
Oct. 2017
San Diego
Regional
C-V2X trial
Apr. 2018
First
multi-OEM
demo in D.C.
Jun. 2018
1st US
deployment
in Denver
Jul. 2018
Europe’s first
multi-OEM
demonstration in
Paris
Oct. 2018
Multi-OEM
performance
evaluation of C-V2X
Oct. 2018
C-V2X functional
and performance
test report
published
Nov. 2018
Reaches 100
members
Nov. 2018
China-SAE
ITS Stack
Compatibility
Jan. 2019
Cooperative driving
live interactive
demos in Las Vegas
Jan. 2019
Announcing
C-V2X
implementation
in Las Vegas
Feb. 2019
C-V2X integrated
with Qualcomm®
SnapdragonTM
Automotive
4G/5G platforms
Feb. 2019
TELEFÓNICA/
SEAT’s live C-V2X/
5G demo at MWC
Barcelona
Mar. 2019
Cross border
demo
Mar. 2019
SAIC project
complete
May 2019
C-V2X
ecosystem
demos
Nov. 2019
CAMP
congestion
control scenario
testing by OEM
consortium
Nov. 2019
Live demos
show C-V2X as
a market reality
Jan. 2020
C-V2X deployment
in Virginia with
VaDoT
Jan. 2020
ETSI European
specifications
and standards for
C-V2X completed
Feb. 2020
C-V2X devices
passed European
Radio Equipment
Directive (RED)
MDM
9150
7. 7
Specifying minimum
requirements
Supporting emerging
use cases
Providing
interoperability
Standardizing messages for new use
cases (e.g., sensor data sharing
among vehicles)
Allowing vehicles from different
automakers to benefit from new use
cases
Defining application layer-specific
minimum requirements for new
messages
Working with regional standards
to define applications globally
SAE for North America, ETSI ITS for Europe, and C-SAE/C-ITS for China
9. 9
Rel-15 commercialization Commercialization of future 5G releases
Delivering on
the 5G vision
Continue expansion to new verticals,
deployments, use cases, spectrum
Rel-161
Rel-18+ evolution
Rel-171
Future-proof
platform
LTE essential part
of the 5G platform
2018 20202019 20222021 2023+
Rel-15
Driving the 5G technology evolution
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
NR
2020 eMBB expansion
• Beyond smartphone (PC, FWA, …)
• New markets/regions
• Nationwide coverage and SA migration
Longer term expansion
• Industrial IoT, enterprise, automotive network
• Private networks
• Unlicensed spectrum
2019 eMBB
• Global smartphone
launches
• Fixed wireless access
10. 10
C-V2X
Rel 14/15 sidelink
Broadcast messages
NR C-V2X builds on LTE C-V2X
with advanced use cases
Safety use cases Advanced use cases
5G C-V2X sidelink
Upper layers
Mapping use cases to transport profile
NR C-V2X
Rel 16+ sidelink
Multicast messages
11. 11
Rel 14 / Rel 16+ C-V2X
NR C-V2X introduces
complementary capabilities
for advanced use cases
Rel 16+ NR C-V2X vehicles
are designed to support
Rel 14 / 1 5 for safety use cases
R14 / R16+ C-V2X
Rel 14 C-V2X only car
Rel 14/15 C-V2X for
automotive safety
12. 1212
NR C-V2X delivers a design that addresses advanced use cases
Building on existing frameworks
Introduces advanced capabilities
• Efficient sidelink link level design
for optimized performance at all speeds
• Connectionless ‘on-the-fly’
distance-based groups
• Multicast with distance-based reliability
and application relevancy
And increased performance
• Lower latency
• Higher spectral efficiency
• Higher capacity
Such as adding sidelink
and dynamic reference
signal for various speed
Flexible slot-based
framework
Scalable OFDM-
based air interface
Such as wideband carrier
support (>20 MHz) and
different sub-carrier spacing
Utilizes NR flexible framework
Leverages LTE C-V2X concepts
Such as frequency division multiplexing,
guaranteed latency performance and
prioritization support
Advanced
channel coding
State of the art LDPC/
polar coding to
deliver performance
5G
C-V2X
13. 1313
Scalable OFDM air interface and flexible slot structure
NR C-V2X
15 kHz spacing, wideband carrier support up to 100 MHz
Slot structure without feedback
Higher spectral efficiency at high speeds Enhanced reliability with feedback
30 kHz spacing, wideband carrier support up to 100 MHz
60 kHz spacing, wideband carrier support up to 100 MHz
Data
Control
Frequency
Time
AGC
Gap
Data
Control
Frequency
Time
AGC
Gap
Gap
Feedback
Slot structure with feedback
14. 1414
1. NAK is negative acknowledgement. 2. HARQ is hybrid automatic repeat request. 3. SFN is single frequency network.
Reliable multicast based on
NAK1 feedback from receivers
Retransmission based on
HARQ2
Multiple receivers send NAK
feedback using the same
resource (time and frequency),
also referred to as SFN3.
SFN of NAK keeps the
feedback overhead constant,
independent of the number
of receivers.
Frequency
Time
Data
Control
AGC
Gap
Data
Control
AGC
Gap
Gap
NAK NAK
Data
Control
Feedback
Reliable and efficient multicast using SFN feedback
15. 15
Variable reference signal
design density
Strategic placement of
reference symbols
1. Demodulation Reference Signal
NR C-V2X supports
adaptive 2-, 3-, 4-
symbol DMRS for
high-speed
performance
Slow
Vehicle speeds
Medium
Vehicle speeds
Fast
Vehicle speeds
0.5ms TTI with 30kHz SCS
Highspeed+highMCS+AdditionalDMRS
1
NRBs
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Gap
RS RS
RS RS
RS RS
Control
AGC
Gap
RS RS
RS RS
RS RS
Control
AGC
Gap
RS RS
RS RS
RS RS
Control
AGC
DMRS Data
16. 16
Uniform coverage
by adding
distance as a
dimension
Should be notified,
but does not get signal
Does not need to be notified,
but gets signal
c
Location information shared
efficiently in the physical layer
control channel
Enables NAK feedback with
HARQ based on distance
17. 17
Groups can reliably
connect based on
distance
c
Vehicles within a certain
distance and interested
in same services form an
‘on-the-fly’ group
18. 18
NAK NAK
Received
Irrelevant message (outside app-specific distance)
Application A Application B
Application-specific distance is determined based on relevancy
Transmitting vehicles adapt transmission to relevant vehicles within range
Receiving vehicles only acknowledge (NAK) relevant messages
Application-aware, distance-based
multicast communication
19. 1919
Semi-persistent
scheduling
Suitable for basic safety messages
with similar packet sizes
Periodic transmission (typically ~100 ms)
Per packet
scheduling
Variable traffic model based
on the varying packet sizes
Lower latency (< 100 ms)
ResourcePacket
Efficient and flexible resource allocation
for advanced applications with variable traffic
20. 2020
Stage 1 format for resource allocation
R16 UE R17 UER17 UE
Stage 2 format for a Rel 16 application
Stage 2 format for a Rel 17 application
Two-stage control
allows efficient and
flexible support for
current and future
applications
Slot structure showing two-stage control
Data
Control
Data
Stage 1
Stage 2
(Rel 16)
Stage 1
Common across releases and provides
resource allocation information
Stage 2
Provides application-specific information
and also facilitates forward compatibility
AGC
Gap
21. 21
Spectral efficiency:
up to 2x for broadcast
Scalable OFDM and flexible DMRS provide higher spectral efficiency,
which reduces bandwidth usage and allow for more capacity
Lower latency:
Tx latency as low as 1.5 ms
Due to shorter slots and resources allocation enhancements
Higher capacity:
2x for per packet scheduling
Achieved through link-level gain, HARQ feedback,
and resource allocation enhancements
NR C-V2X enhancementsSignificant
physical
layer gains
23. 23
Qualcomm 5G technology is licensed by Qualcomm Incorporated. Qualcomm 5G products are products of Qualcomm Technologies, Inc. and/or its subsidiaries.