The document discusses the evolution of C-V2X (Cellular Vehicle-to-Everything) technology to support autonomous vehicles. It describes how C-V2X enhances range and reliability for vehicle safety applications through direct communication modes. It also outlines C-V2X's evolution towards 5G to enable ultra-reliable low latency communications required for autonomous driving use cases through both direct and network communication modes.
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
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
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/
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
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
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/
Traffic Control and Vehicle-to-Everything (V2X) CommunicationsOfinno
As the number of vehicles increases, traffic accidents and waste of resources due to
congestion are consistently growing every year. Cellular Vehicle-to-Everything (V2X) is a
key technology improving driving safety and traffic efficiency by enabling traffic elements
such as vehicles, roadside infrastructures, networks, and pedestrians to communicate with
each other. Dynamic interactions between traffic elements ultimately facilitate intelligent
autonomous driving. The 3rd Generation Partnership Project (3GPP) Technical Specification
Group has developed a series of standards for cellular V2X features and is working on
continuous enhancements for higher reliable and low latency communication. This paper
provides an overview of cellular V2X use cases and 3GPP standardization, and summarizes
the impact of the V2X technology.
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 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.
With 5G comes slicing that will greatly benefit to the Automotive Industry to have virtual dedicated networks for different traffic, from Safety highly reliable to entertainment or less critical sensor data collection
Technology Manager Andreas Roessler covers 5G basics in this keynote presentation at the RF Lumination 2019 conference in February 2019.
RF Lumination 2019
"Meet 158+ years of RF design & test expertise at one event. If they can't answer your question, it must be a really good question!"
Watch all the presentations here:
https://www.rohde-schwarz-usa.com/RFLuminationContent.html
Andreas Roessler is the Rohde & Schwarz Technology Manager focused on UMTS Long Term Evolution (LTE) and LTE-Advanced. With responsibility for the strategic marketing and product portfolio development for LTE/LTE-Advanced, Andreas follows the standardization process in 3GPP very closely, particularly on core specifications as well as protocol conformance, RRM and RF conformance specifications for device and base stations testing. He graduated from Otto-von-Guericke University in Magdeburg, Germany, and received a Master's Degree in communication engineering.
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
A presentation on Cloud RAN fronthaul, current deployment Options, benefits and challenges. This was presented in the
iJOIN Winter School "5G Cloud Technologies: Benefits and Challenges", Bremen, 2015-02-23
After our successful launch of '5G for Absolute Beginners' course (http://bit.ly/5Gbegins) in 2020, we decided to create an introductory training course on 6G Mobile Wireless Communications technology. The course is ready and the best way to navigate it is via the Free 6G Training page at: https://bit.ly/6Gintro - this will ensure that you have the latest version of each video and also the most recent version of the 6G technologies videos as and they are added.
In this part we will look at what we call the 6G Devices but they are effectively the devices that will exist in 2030. Some of them will be new form factors while others would be evolution of the existing form factors. These will include wearables, hearable and a lot of new innovation that are in initial phase of development. We will also spend some time on the futuristic XR headsets as they will definitely have a big role to plan in Beyond 5G and 6G timeframe.
This course is part of #Free6Gtraining initiative (https://www.free6gtraining.com/)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
6G and Beyond-5G Page: https://www.3g4g.co.uk/6G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Free 6G Training Blog: https://www.free6gtraining.com/
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
This presentation discusses connected cars & 5G and was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
- 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
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.
Describes basics of automotive radar, working principle and future development in automotive radar sector. Role of radar sensor in development of future ACC, ADAS system.
5G + AI: The Ingredients For Next Generation Wireless InnovationQualcomm Research
5G and AI are two of the most disruptive technologies the world has seen in decades. While each is individually revolutionizing industries and enabling new experiences, the combination of both 5G and AI is going to be truly transformative. Applying AI not only to the 5G network but also the device will lead to more efficient wireless communications, longer battery life and enhanced user experiences. The low latency and high capacity of 5G will also allow AI processing to be distributed amongst the device, edge cloud and central cloud, enabling flexible system solutions for a variety of use cases. At Qualcomm Technologies, we are not only working on cutting-edge research for 5G and AI, but we are also exploring their synergies to realize our vision of the future. View this presentation to learn how AI is making 5G better -- in the network and on the device, why on-device AI processing is essential, and how 5G is empowering distributed learning over wireless.
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 ***
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/
Traffic Control and Vehicle-to-Everything (V2X) CommunicationsOfinno
As the number of vehicles increases, traffic accidents and waste of resources due to
congestion are consistently growing every year. Cellular Vehicle-to-Everything (V2X) is a
key technology improving driving safety and traffic efficiency by enabling traffic elements
such as vehicles, roadside infrastructures, networks, and pedestrians to communicate with
each other. Dynamic interactions between traffic elements ultimately facilitate intelligent
autonomous driving. The 3rd Generation Partnership Project (3GPP) Technical Specification
Group has developed a series of standards for cellular V2X features and is working on
continuous enhancements for higher reliable and low latency communication. This paper
provides an overview of cellular V2X use cases and 3GPP standardization, and summarizes
the impact of the V2X technology.
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 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.
With 5G comes slicing that will greatly benefit to the Automotive Industry to have virtual dedicated networks for different traffic, from Safety highly reliable to entertainment or less critical sensor data collection
Technology Manager Andreas Roessler covers 5G basics in this keynote presentation at the RF Lumination 2019 conference in February 2019.
RF Lumination 2019
"Meet 158+ years of RF design & test expertise at one event. If they can't answer your question, it must be a really good question!"
Watch all the presentations here:
https://www.rohde-schwarz-usa.com/RFLuminationContent.html
Andreas Roessler is the Rohde & Schwarz Technology Manager focused on UMTS Long Term Evolution (LTE) and LTE-Advanced. With responsibility for the strategic marketing and product portfolio development for LTE/LTE-Advanced, Andreas follows the standardization process in 3GPP very closely, particularly on core specifications as well as protocol conformance, RRM and RF conformance specifications for device and base stations testing. He graduated from Otto-von-Guericke University in Magdeburg, Germany, and received a Master's Degree in communication engineering.
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
A presentation on Cloud RAN fronthaul, current deployment Options, benefits and challenges. This was presented in the
iJOIN Winter School "5G Cloud Technologies: Benefits and Challenges", Bremen, 2015-02-23
After our successful launch of '5G for Absolute Beginners' course (http://bit.ly/5Gbegins) in 2020, we decided to create an introductory training course on 6G Mobile Wireless Communications technology. The course is ready and the best way to navigate it is via the Free 6G Training page at: https://bit.ly/6Gintro - this will ensure that you have the latest version of each video and also the most recent version of the 6G technologies videos as and they are added.
In this part we will look at what we call the 6G Devices but they are effectively the devices that will exist in 2030. Some of them will be new form factors while others would be evolution of the existing form factors. These will include wearables, hearable and a lot of new innovation that are in initial phase of development. We will also spend some time on the futuristic XR headsets as they will definitely have a big role to plan in Beyond 5G and 6G timeframe.
This course is part of #Free6Gtraining initiative (https://www.free6gtraining.com/)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
6G and Beyond-5G Page: https://www.3g4g.co.uk/6G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Free 6G Training Blog: https://www.free6gtraining.com/
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
This presentation discusses connected cars & 5G and was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
- 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
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.
Describes basics of automotive radar, working principle and future development in automotive radar sector. Role of radar sensor in development of future ACC, ADAS system.
5G + AI: The Ingredients For Next Generation Wireless InnovationQualcomm Research
5G and AI are two of the most disruptive technologies the world has seen in decades. While each is individually revolutionizing industries and enabling new experiences, the combination of both 5G and AI is going to be truly transformative. Applying AI not only to the 5G network but also the device will lead to more efficient wireless communications, longer battery life and enhanced user experiences. The low latency and high capacity of 5G will also allow AI processing to be distributed amongst the device, edge cloud and central cloud, enabling flexible system solutions for a variety of use cases. At Qualcomm Technologies, we are not only working on cutting-edge research for 5G and AI, but we are also exploring their synergies to realize our vision of the future. View this presentation to learn how AI is making 5G better -- in the network and on the device, why on-device AI processing is essential, and how 5G is empowering distributed learning over wireless.
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 ***
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/
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
V2X communication is the passing of information from a vehicle to any entity that may affect the vehicle, and vice versa. This information exchange can be used for a host of safety, mobility and environmental applications to include driver assistance and vehicle safety , speed adaptation and warning, emergency response, safety, traveller information, navigation, traffic operations and demand management, personal navigation, commercial fleet planning and payment transactions. There is significant societal benefit and commercial value to delivering safety, mobility and convenience applications that rely on V2X.
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/
Unmanned aerial vehicles and manned aircrafts are increasingly being used as vehicles to capture intelligence data for defense, state and civil applications. The aerial vehicles are equipped with technology to collect both video and sensor data which are communicated to a mission control center for further processing. When outside the reach of direct data relays due to distance or environment (e.g. mountainous regions) satellite communications is used for Beyond-Line-of-Sight (BLoS)
communication.
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.
Satellite network for automated driving
Author : Joel Schroeder
EMEA Satellite Operators Association (ESOA);
Vice President, Strategy & Business Development, Connected Car Program, Inmarsat
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.
Military forces require situational awareness no matter
where they are located. From warfighters in the field,
sailors on Navy ships, troops in flight and decision
makers at central command, everyone must share a
common operating picture to accomplish the mission.
Yet, that can be significantly challenging when troops
are constantly in motion, traveling across land,
sea and air.
Cooperative systems offer a universal way for roadside equipment to communicate with vehicles. It provides open connectivity, as promoted by the European Commission. And it also allows multiple applications, to run side by side.
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
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:
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Checkout: https://www.qualcomm.com/AI
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𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
Over the 10 years, we have gained a strong foothold in the market due to our range's high quality, competitive prices, and time-lined delivery schedules.
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2. 2
Shaping the future
of automotive
Connecting vehicles
to everything
Transforming the
in-vehicle experience
Paving the road to
autonomous driving
3. 3
Paving the road
to tomorrow’s
autonomous vehicles
Offering essential technologies
for the connected car platform
Power optimized processing
for the vehicle
Fusion of information from multiple
sensors/sources
Autonomous car
On-board
intelligence
Unified connectivity
with C-V2X
3D mapping and
precise positioning
4. 4
Intelligently connecting
the car to cloud and
surroundings
5G unified
connectivity
Vehicle-to-infrastructure
3D HD live map updates
Vehicle - to - pedestrian
Vehicle-to-network
HD video
AR / VR
Teleoperation
Vehicle-to-vehicle
5. 5
Continuous V2X technology evolution required
And careful spectrum planning
to support this evolution
Enhanced range and reliability
Basic safety
802.11p or C-V2X R14
Enhanced safety
C-V2X R14/15
Advanced safety
C-V2X R16 (building upon R14)
Established foundation
for V2X
Evolution to 5G,
while maintaining backward compatibility
Higher throughput
Higher reliability
Wideband ranging
and positioning
Lower latency
6. 6
Evolving C-V2X towards 5G for autonomous driving
D2D
communications
R12/13
Network independent No Yes Yes
Communications1
Broadcast only Broadcast only Broadcast + Unicast/Multicast
High speed support No Yes Yes
High density support No Yes Yes
Throughput High throughput for enhanced safety Ultra-high throughput
Latency Low latency for enhanced safety applications Ultra-low latency
Reliability Reliability for enhanced safety application Ultra-high reliability
Positioning No Share positioning information Wideband ranging and positioning
Autonomous
driving
C-V2X R16 5G NR support (Ph. III)
(Advanced safety applications)
1. PHY/MAC communications; R16 is still under development
Enhanced
safety
C-V2X R14 (Ph. I) C-V2X R15 (Ph. II)
Established foundation
for basic D2D comm.
Enhanced communication’s range
and reliability for V2X safety
Ultra-reliable, low latency, high throughput
communication for autonomous driving
7. 7
C-V2X is a critical component for safer autonomous driving
Communicating intent and sensor data even in challenging real world conditions
Non line-of-sight sensing
Provides 360˚ NLOS awareness, works at
night and in bad weather conditions
Conveying intent
Shares intent, sensor data , and path
planning info for higher level of predictability
Situational awareness
Offers increased electronic horizon to support
soft safety alerts and graduated warning
Queue warning/
shockwave damping
Sudden
lane change
Road
hazard
Blind intersection/vulnerable
road user (VRU) alerts
Reduced
speed ahead
8. 8
High precision positioning
is key for V2X operation
Precise positioning
Use GNSS along with precise
positioning services to get
<1 meter accuracy
Heading
Accurate heading derived
directly from GNSS
positioning calculation
Accurate time info
Using GNSS as a primary
source of time synchronization
Velocity
Accurate speed derived
directly from GNSS
positioning calculation
Time VelocityPosition Heading
Time
Velocity
Position
Heading
GNSS
9. 9
Enhancing positioning on multiple fronts
More frequently
updated
Updated very frequently to provide
fresh, accurate positioning information
(e.g. vehicles send their most recent
location at least every 100ms for
V2X applications)
More
accurate
Sub-meter level accuracy (e.g. lane-
level accuracy) with high integrity for
V2X and autonomous driving
applications
Anywhere,
anytime
Combined precise GNSS positioning with
sensor inputs to provide accurate positioning
everywhere, including dense urban
environments, parking garages and
multi-level interchanges
10. 10
Evolving positioning technologies for V2X and autonomy
To offer more precise positioning, anywhere, anytime
Navigation / emergency
service / regulatory
Positioning
V2X enhanced safety
Precise
positioning <2m
Ultra-precise
positioning <<1m
Autonomous driving
More satellites for improved
accuracy and availability
• Glonass
• BDS
• Galileo
• QZSS
• Satellite-based
augmentation system
• (SBAS)
Satellite-based
navigation
• GPS
• 2D Dead Reckoning (DR)
using single axis sensors
Extend accuracy and availability
in more places w/ better sensors
• 6DOF MEMS sensors
• 3D Dead Reckoning
(3D DR)
More precise positioning
at higher update rates
• Higher frequency => 10Hz
• L1 Correction services
• Camera VIO
Ultra-precise positioning anywhere,
anytime for autonomy
• Multi-frequency GNSS
• RF and Baseband
• Software
• Correction Services
• 5G NR V2X
11. 11
On-board intelligence: C-V2X complements other sensors
Providing higher level of predictability and autonomy
V2X wireless sensor
See-through, 360◦
non-line of sight sensing,
extended range sensing
Radar
Bad weather conditions
Long range
Low light situations
Ultrasonic
Low cost
Short range
3D HD maps
HD live map update
Sub-meter level
accuracy of landmarks
Precise positioning
GNSS positioning
Dead reckoning
VIO
Camera
Interprets objects/signs
Practical cost and FOV
Lidar
Depth perception
Medium range
ADAS
Advanced Driver
Assistance Systems
Brain of the car to help automate
the driving process by using:
Immense compute resources
Sensor fusion
Machine learning
Path planning
13. 13
C-V2X offers key advantages in multiple dimensions
C-V2X
Enhanced range
and reliability
High density support High speed support
Reuse of DSRC/C-ITS
higher layers
R-14 Self managed for reduced
cost and complexity
Synergistic with
telematics platform
Leverage of cellular
ecosystem
Strong evolution path
towards 5G
14. 14
C-V2X defines two complementary transmission modes
1. PC5 operates on 5.9GHz; whereas, Uu operates on commercial cellular licensed spectrum 2. RSU stands for roadside unit.
Uu interface
e.g. accident 2 kilometer ahead
V2N
(Uu)
V2N
(Uu)
Network communications
V2N on “Uu” interface operates in traditional
mobile broadband licensed spectrum
eNodeB
PC5 interface
e.g. location, speed
V2V
(PC5)
V2P
(PC5)
V2P
(PC5)
V2I
(PC5)
V2I
(PC5)
Direct communications
V2V, V2I, and V2P on “PC5” interface1,
operating in ITS bands (e.g. ITS 5.9 GHz)
independent of cellular network
RSU
2
15. 15
Network communications for latency tolerant use cases
Suitable for telematics, infotainment and informational safety use case
Discover parking
and charging
Traffic flow control/
Queue warning
Road hazard warning 1 km aheadCloud-based sensor sharing
16. 16
Direct communications for active safety use cases
Low latency communication with enhanced range, reliability, and NLOS performance
Road works
warning
Do not pass
warning (DNPW)
Vulnerable road user (VRU)
alerts at a blind intersection
Left turn
assist (LTA)
Intersection movement assist
(IMA) at a blind intersection
0mph
Blind curve/
Local hazard warning
17. 17
C-V2X can work without network assistance1
V2V/V2I/V2P direct communications can be self managed
1. 3GPP also defines a mode, where eNodeB helps coordinate C-V2X Direct Communication; 2. GNSS is required for V2X technologies, including 802.11p,
for positioning. Timing is calculated as part of the position calculations and it requires smaller number of satellites than those needed for positioning
USIM-less
operation
Autonomous
resource selection
GNSS time
synchronization
C-V2X direct
communications
doesn’t require USIM
Distributed scheduling, where the
car selects resources from resource
pools without network assistance
Besides positioning2
, C-V2X also
uses GNSS for time synchronization
without relying on cellular networks
Direct communications
(via PC5 interface on 5.9GHz)
Common
ITS
frequency
18. 18
Advantages of self-managed
over network-assisted
Network-assisted Control
on Uu
eNodeB
Direct Communications
on PC5
Control
on Uu
Self-managed
(no network assistance)
Direct communications
and control on PC5
Reduced cost
Doesn’t use prime licensed spectrum for
control, no additional network investment
Increased reliability
Doesn’t rely on network coverage,
doesn’t suffer from service interruption
during handover
Reduced complexity
Doesn’t rely on coordination between
operators for resource assignment,
doesn’t require subscription
19. 19
C-V2X is designed to work in ITS 5.9 GHz spectrum
For vehicles to talk to each other on harmonized, dedicated spectrum
5GHz support began in release 13 with LAA, and expanded with release 14 for ITS
C-V2X direct
communications3GPP support of
ITS 5.9 GHz band
Harmonized
spectrum for safety
Coexistence
with 802.11p
C-V2X support in ITS band was
added in 3GPP Release 14
C-V2X uses harmonized/common,
dedicated spectrum for vehicles to
talk to each other
C-V2X and 802.11p can co-exist
by being placed on different
channels in the ITS band
Common
ITS
frequency
20. 20
Fully leveraging ITS 5.9 GHz band for 5G V2X services
Supporting today’s basic safety, and tomorrow’s advanced use cases
Support today’s safety use cases on small
subset of the band (using 802.11p or C-V2X)
In addition to basic safety, support advanced
safety services (e.g. higher bandwidth sensor
sharing and wideband ranging/positioning)
Example 5.9 GHz
C-V2X Rel-15+ can operate in the same Rel-14 spectrum
Advanced safety / 5G V2X services
(C-V2X Release 14, 15+)
10MHz
70MHz
70 MHz
10
MHz
Basic safety
services
21. 21
C-V2X reuses upper layers defined by automotive industry
Note: Also enhancements to the LTE Direct network architecture / system design to support V2X
Reuse of DSRC/C-ITS established
service and app layers
• Already defined by automotive and
standards communities, e.g. ETSI, SAE
• Developing abstraction layer to interface with
3GPP lower layers (in conjunction with 5GAA)
Reuse of existing security
and transport layers
• Defined by ISO, ETSI, and IEEE 1609 family
Continuous enhancements
to the radio/lower layers
• Supports the ever-evolving V2X use cases
Applications
Safety and non-safety
IEEE / ETSI / ISO
Transport/Network
UDP / TCP
IPv6
Reuseandadapt
otherstandards
IEEE / ETSI /
ISO Security
Services
PDCP
RLC
MAC
PHY
ProSe
Signaling
3GPPscope
Non-IP
Message / Facilities layer
22. 22
C-V2X reduces vehicle communications complexity and cost
Most optimal
platform
Cost efficient
solution
Strong
evolution path
Takes advantage of already planned
embedded modem installation in
vast majority of new vehicles
Leverages mobile ecosystem and
existing engineering know-how,
resources and solutions
Keeps technology relevant to new
use cases by avoiding one-off
technology lifecycle obsolescence
23. 23
C-V2X reduces cost of infrastructure deployment
Combined RSUs and 4G/5G small cell, benefiting from cellular network densification
4G/5G small cells with Uu interface
RSUs with direct link/PC5 interface
24. 24
C-V2X offers new business models and economic benefits
Leveraging existing, ubiquitous cellular networks and mobile ecosystem support
More integrated
solution
C-V2X functionality can be integrated
in vehicle’s modem to enable most
optimal platform
Mobile ecosystem
expertise
Benefits from cellular player’s
extensive experience in deploying,
managing, and maintaining complex
communication systems
New services and
business opportunities
Leverages unified C-V2X /
telematics offerings and addresses
new services for shared mobility
and autonomous driving
Reduced
deployment cost
Combined RSU and eNodeB
infrastructure synergies provide
economic benefits
26. 26
C-V2X Rel-14 has significantly better link budget than 802.11p1
Leading to longer range (~2X range)—or more reliable performance at the same range
1. Link budget of C-V2X is around 8 dB better than 802.11p
Energy per bit is
accumulated over a longer
period of time for C-V2X
Transmission time
Longer transmit time leads to
better energy per bit
SC-FDM allows for more
transmit power than OFDM
for the same power amplifier
Channel coding
Gains from turbo coding and
retransmission
Coding gain from turbo codes
and HARQ retransmission
lead to longer range
+
+
Waveform
SC-FDM has better
transmission efficiency ~2XLonger range
27. 27
Longer transmission time: leads to link budget gain
Usage of FDM in C-V2X provides an advantage compared to TDM in 802.11p
4.8dB (3X)
Gain per packet for C-V2X
1. Assumptions: 190 bytes packet size, ½ rate coding for 802.11p, 0.444 rate coding for C-V2X, QPSK modulation used for both 802.11p and C-V2X,
C-V2X
20dBm (0.1w)
1ms
3.3MHz
Time
Energy per packet = 0.1 mWs
20
dBm
(0.1w)
802.11p
0.333ms
10MHz
Time
Energy per packet = 0.033 mWs
Example1
• C-V2X has longer transmission time for the same number of transmitted bits, leading to better energy per
bit (as energy is accumulated over a longer period of time)
• FDM transmission has been adopted as an efficient mode of packet transmission in 4G cellular systems
28. 28
SC-FDM Waveform: better transmission efficiency
Providing 2dB better transmission efficiency than OFDM, with the same PA1
1 At 0.1% peak-to-average-ratio Complementary Cumulative Distribution Function (CCDF) operating point; 2. Power graphs used to illustrate the point and are not based on real data nor drawn to scale
Psat
PpeakPpeak
Pav1
Pav2
2dB
Time
Power Power
SC-FDM
(low PAR)
OFDM
(high PAR)
SC-FDM’s higher
average power due
to its lower PAPR2
• SC-FDM groups resource blocks together in a way that reduces peak-to-average power ratio (PAPR),
hence support driving power amplifier closer to saturation, leading to better transmit power efficiency
• Used for LTE uplink and 5G macro deployments, where transmit power efficiency is particularly important
29. 29
Channel Coding: TC provides ~2dB coding gain over CC
Providing 2dB better transmission efficiency at the same PA
• C-V2X uses the more modern turbo codes (TC), while 802.11p uses K=7 convolutional codes (CC)
• TC used for Wi-Fi evolution (11.ac) and in 3G/4G to reduce bit error rate
SNR2
SNR1
2dB CC
CC
The required SNR for
receiving a specific
packet size with 1%
block error rate is 2dB
lower with TC than CC
TC
TC
convolutional
codes (CC)
Turbo codes
(TC)
30. 30
Freeway scenarios: Simulation assumptions
Freeway drop is used to simulate high speed performance
2000m
24m
(3 lanes in each direction)
Average car
spacing: 2.5s
Simulation assumptions:
• 6 lanes for 4m each, 3 lanes in each direction
• Three speeds => 250 km/hr, 140 km/hr, 70 km/hr
• Cars dropped according to Poisson process, avg. car spacing is
2.5s
69, 123, 246 cars
• All cars are LOS
• Actual mobility simulated: correlated shadowing, independent
fading
• Packet transmission periodicity:
140, 250 km/hr => 100ms; 70 km/hr => 200ms
31. 31
Enhanced range and reliability in free way scenarios
~100% gain in distance at 0.9 PRR; @400m PRR changed from 0.02 to 0.6
Freeway 250 km/hr, 69 cars Freeway 140 km/hr, 123 cars
120% 85%
32. 32
Enhanced range and reliability: Free way 70 km/hr speed
~60% gain in distance at 0.9 PRR; @400m PRR changed from 0.02 to 0.58
33. 33
Urban Scenarios: Simulation assumptions
Urban drop is used to simulate high density drops
Lane width: 3.5m
Sidewalk width: 3m
Street width: 20m
Road grid
433m
250m
Lane width: 3.5m
Sidewalk width: 3m
Street width: 20m
Road grid
250m
433m
Simulation assumptions:
• 4 lanes for 3.5m each, 2 lanes in each
direction
• Speeds: 15km/hr, 60 km/hr
• Cars dropped according to Poisson process,
avg. car spacing is 2.5s
590, 2360 cars
• Packet transmission periodicity:
60 km/hr => 250ms; 15 km/hr =>
1000ms
• LOS on same road, NLOS on cross roads
• Actual mobility simulated:
• Correlated shadowing, independent
fading
• Turn left/right with probability 0.25
34. 34
Enhanced range and reliability: Urban 60 km/hr, 15 km/hr
~ 30% gains at 0.9 PRR; Gains muted due to challenging pathloss model
Urban 60 km/hr, 590 cars Urban 15 km/hr, 2360 cars
35% 30%
35. 35
C-V2X is designed for high density vehicle deployments
Guaranteeing low latency access for safety critical messages even at high density
Leveraging higher layers to tune
congestion control parameters
Enhanced performance with
MAC/PHY congestion control
Higher layers
SAE / ETSI
Congestion control
Knobs for configuration parameters
PHY measurement/Sensing
Configuration
parameters
Measurements
Lower layers
PHY/MAC
Access control Congestion control
Deterministic access control and
resource scheduling in PHY/MAC
36. 36
Deterministic access control and resource scheduling
Chooses blocks with lowest energy levels to meet latency requirements
1
Rank the resources
according to the
measured energy
2
Choose one of the
lowest energy blocks
for transmission
3
Measure relative
energy of next “n”
resources
….
….
…
…
…
Resource Pool
(Conceptual)
Time
Frequency
Measured
Energy
Choose among the
20% lowest energy
resources
….
….
…
…
…
Resource Pool
Time
Frequency
Relative
Energy
Choose one of the
lowest measured
energy resources
Highest
measured
energy
37. 37
C-V2X access control advantages over 802.11p
System keeps on scaling
Optimized resource
scheduling
Does no get
denied access
Designed to meet
latency requirements
By choosing the lowest
relative energy blocks
Two cars far apart from
each other can use same
resources
By scheduling and obtaining
access to resources in
timely manner
38. 38
Improved reliability at higher vehicle speeds
Disabled vehicle after blind curve use case example
1. “Consistent with CAMP Deceleration Model and AASHTO “green book;
Icy road condition
Normal road condition
802.11p
28mph
C-V2X
38mph
Stopping distance estimation1
(Driver reaction time + braking distance)
DSRC
(60m)
C-V2X
(107m)
0
100
200
300
400
500
0 20 40 60 80
Stoppingdistance(m)
Velocity (mph)
Normal
Ice63 mph
28 mph
38 mph
46 mph
0mph
0mph
802.11p
46mph
C-V2X
63mph
39. 39
DSRC
(240m)
C-V2X
(443m)
Improved reliability at higher speeds and longer ranges
Do not pass warning (DNPW) use case example
1. Calculations based on AASHTO “green book”
C-V2X
802.11p
240m
443m
Required passing alert distance (m)
vs. speed (mph)1
43mph
43mph
28mph
28mph
0
200
400
600
800
1000
0 20 40 60 80
Passing Alert Distance (m) DSRC range (m) C-V2X Range (m)
28 mph
43 mph
40. 40
Technology operation 802.11p C-V2X Rel-14/15 C-V2X Rel-16 (expected design)
Specification completed Completed Rel-14 completed in 2016.
Rel-15 to be completed in
2018
2019
Support for low latency
direct communications (Rel-14 – 4ms) (≤ 1ms)
Support for network
communications
Limited
(via APs only)
Can operate without
network assistance
Can operate in ITS 5.9
GHz spectrum
SIM-less operation
Security and privacy on
V2V/V2I/V2P (as per IEEE WAVE and ETSI-
ITS security services)
(as per IEEE WAVE and ETSI-
ITS security services)
(as per IEEE WAVE and ETSI-ITS
security services)
Security/Privacy on V2N N/A
Coexistence in 5.9GHz
(Adjacent channel with 3GPP
tech)
(Adjacent channel with 11p;
co-channel coexistence from
R14 onwards)
(Adjacent channel with 11p; co-
channel coexistence from R14
onwards & WiFi)
Evolution path
Compatible with Rel-14/15
Comparison: Technology operation
41. 41
Comparison: Radio design
Radio design 802.11p C-V2X Rel-14/15 C-V2X Rel-16(expected design)
Synchronization Asynchronous Synchronous Synchronous
Channel size 10/20Mhz Rel-14 – 10/20Mhz
Rel-15 – 10/20/Nx20 MHz1
10/20 MHz and wideband (e.g.
40/60/80/100/…MHz
Resource multiplexing
across vehicles
TDM only TDM and FDM TDM and FDM possible
Data channel coding Convolutional Turbo LDPC
HARQ Retransmission No Rel-14/15 – yes
Rel-15 – ultra-reliable
communication possible2
Yes, along with ultra-reliable
communication
Waveform OFDM SC-FDM Likely OFDMA but many options
available
Resource Selection CSMA-CA Semi-persistent transmission
with frequency domain listen-
before-talk
Many options available
MIMO support No support standardized Rx diversity for 2 antennas
mandatory
Tx diversity for 2 antennas
supported
Support up to 8 tx/rx antennas
Mandatory support for 2tx/rx
antennas
Both diversity and spatial
multiplexing supported
Modulation support Up to 64QAM Up to 64 QAM Up to 256QAM
42. 42
Comparison: Use cases and performance
Use Cases 802.11p C-V2X Rel-14/15 C-V2X Rel-16(expected design)
Target Use Cases Day 1 safety only Day 1 safety & enhanced safety
use cases
Advanced use cases to assist in
autonomous driving including,
ranging assisted positioning,
high throughput sensor sharing
& local 3D HD map updates
Performance
High density support
Packet loss at high densities Can guarantee no packet loss at
high densities
Can guarantee no packet loss at
high densities
High mobility
support Up to relative speeds of 500
km/hr with advanced
receiver implementation
Up to relative speed of 500
km/hr as a minimum
requirement.
Up to relative speed of 500
km/hr as a minimum
requirement
Transmission range
@ 90% error, 280
km/hr relative speed
Up to ~225m -Over 450m using direct mode
-Very large via cellular
infrastructure
-Over 450m using direct mode
-Very large via cellular
infrastructure
Typical transmission
frequency for
periodic traffic
Once every 100msec (50ms
is also possible)
Once every 100ms (20ms is also
possible)
Supports packet periodicities of
a few ms.
44. 44
C-V2X gaining support from automotive and telecom leaders
5GAA is a cross-industry consortia helps define 5G V2X communications
Source: http://5gaa.org/; accurate as of August 31st , 2017
End-to-end solutions for intelligent transportation mobility systems and smart cities
Telecommunications
Connectivity and networking systems, devices, and technologies
Automotive industry
Vehicle platform, hardware, and software solutions
Audi BAIC CETECOMAT&T CAICTBoschAnalog Devices ContinentalBMW China Mobile Daimler
FEVDanlaw Denso Ericsson InfineonHirschmann Car Communication HuaweiFordFicosa Gemalto
P3 SavariPanasonic ROHM Rolls-RoyceNTT DoCoMo SamsungQualcomm Rohde & Schwarz SAIC Motor
muRataMINILGJaguar Land RoverKeysight TechnologiesKDDI KTInterdigital LairdIntel Nokia
TÜV RheinlandSoftBank Telefonica Telstra ZFSK Telecom T-Mobile VodafoneValeo Verizon VLAVI ZTE
45. 45
Building a comprehensive ecosystem with diverse expertise
Necessary for C-V2X’s successful commercialization and deployment
Testing and
certifications
Certification and compliance organizations
Standards Standards development
organizations
Telecom and auto
industry organizations
ITS organizations
Road operator
organizations
Chipset manufacturers
ITS stack providers
Traffic industry suppliers Road operators
MNOs
Vehicle OEMs
Telecom suppliers
Auto suppliers
Test equipment vendors
46. 46
Qualcomm Technologies’ first-announced C-V2X
commercial solution based on 3GPP R-14 for
PC5-based direct communications
Qualcomm
9150
C-V2X
Qualcomm®
9150
C-V2X Chipset
Qualcomm is driving C-V2X
towards commercialization
Chipset anticipated to be available for
commercial sampling in the second half of 2018
Qualcomm 9150 C-V2X Chipset is a product of Qualcomm Technologies, Inc.
47. 47
Qualcomm®
C-V2X
Reference Design
The Qualcomm 9150 C-V2X chipset will be featured
as a part of the Qualcomm® C-V2X Reference Design
AP
(running ITS
stacks)
HSM
(Hardware
Security
Module)
C-V2X
Chipset with
integrated
GNSS
Delivering complete C-V2X
solution for automotive road
safety
Leveraging Qualcomm’s unique capabilities
in precise positioning, efficient processing
and security
Qualcomm
9150
C-V2X
Qualcomm C-V2X Reference Design is a product of Qualcomm Technologies, Inc.
48. 48
Supported by global car OEMs – Europe examples
““Qualcomm Technologies’
anticipated 9150 C-V2X chipset
serves as a major milestone in
paving the road for 5G and
safer autonomous driving,” said
Dr. Thomas Müller, Head
Electrics/Electronics, Audi. “As
C-V2X continues to serve as an
essential ingredient for
enhanced safety for next-
generation vehicles, Qualcomm
Technologies’ 9150 C-V2X
chipset will certainly help
accelerate the adoption and
deployment of C-V2X
technologies.”
— Audi
“We are pleased to see C‐V2X gaining
momentum and broad ecosystem support, and
how Qualcomm Technologies has helped the
automotive industry make great strides in
bringing this to fruition, including the
announcement of the 9150 C-V2X chipset,”
said Carla Gohin, Senior Vice President, Head
of Innovation at Groupe PSA. “Groupe PSA is
strongly involved in the 5G standardization and
trials and has great expectations on 5G as an
enabler for the connected and autonomous
vehicles. C‐V2X and its strong evolution path
to 5G will serve as a key enabler for new
mobility services. Groupe PSA will evaluate
this technology, with Qualcomm Technologies’
support, to adopt for our cars.”
— Gr oupe PSA
49. 49
Supported by global car OEMs - US and China examples
“Ford is committed to V2X
communications and sees it as
a critical technology to improve
vehicle safety and efficiency,”
said Don Butler, executive
director, Connected Vehicle
and Services at Ford Motor
Company. “We welcome
Qualcomm Technologies’
cellular-V2X product
announcement, as the
automotive industry and
ecosystem work towards C-
V2X implementation, and pave
the path to 5G broadband and
future operating services.”
— Ford Motor Co.
“SAIC has always attached great importance to the
development and application of new technologies. It is
actively promoting the commercialization of new energy
vehicles and internet-connected vehicles, and the
development of autonomous vehicles. As vehicles become
increasingly intelligent, it’s critical that our vehicles are
equipped with premium-tier technologies to provide
seamless communication between the vehicle and the
roadway and beyond,” said Dr. Liu Fen, Director of
Intelligent Driving, Research & Advanced Technology
Department of SAIC. “We deem C-V2X technologies as the
best choice, and look forward to utilizing these technologies
in V2X. We admire the efforts Qualcomm Technologies has
made and believe that the planned commercialization of
their 9150 C-V2X chipset will accelerate the development
of next-generation intelligent and connected vehicles.”
— SAIC
50. 5G will bring new
capabilities for
autonomous vehicles
While maintaining backward compatibility
51. 51
5G is important for our automotive vision
Providing a unifying connectivity fabric for the autonomous vehicle of the future
Unifying connectivity platform for future innovation
Starting today with Gigabit LTE, C-V2X Rel-14, and massive IoT deeper coverage
Mission-critical
services
Enhanced mobile
broadband
Massive Internet
of Things
52. 52
5G NR brings new capabilities to V2X communications
Bringing complementary capabilities
5GNR
Advanced LDPC/polar channel coding
Self-contained sub-frame
Massive MIMO
Scalable OFDM numerology
Low-latency slot structure design
Wideband transmissions for positioning
Direct communications
V2V, V2I, and V2P on “PC5” Interface,
operating in ITS bands (e.g. ITS 5.9
GHz) independent of cellular network
• Higher throughput
• URLLC capabilities
• Designed to work without
network assistance in ITS spectrum
Network communications
V2N on “Uu” interface operates in
traditional mobile broadband
licensed spectrum
• Higher throughput
• URLLC capabilities
53. 53
5G V2X brings new capabilities for the connected vehicle
While maintaining backward compatibility
High throughput
sensor sharing
Local high definition
maps / “Bird’s eye view”
High throughput and low-
latency to enable the
exchange of raw or
processed data gathered
High throughput to build
local, dynamic maps based
on camera and sensor
data; and distribute them
at street intersections
Wideband ranging
and positioning
Wideband carrier support
to obtain accurate
positioning and ranging for
cooperated and automated
use cases
Intention/
Trajectory sharing
High throughput and low-
latency to enable planned
trajectory sharing
54. 54
Power optimized processing for the vehicle
Fusion of information from
multiple sensors/sources
Path prediction, route planning,
control feedback
Autonomous
vehicleOn-board intelligence
Heterogeneous computing
On-board machine learning
Computer vision
Sensor fusion
Intuitive security
V2X wireless sensor
802.11p (DSRC/ITS-G5)
C-V2X
3D HD maps
Semantic lane information
Landmark and lane
coordinates for positioning
Precise positioning
GNSS positioning
Dead reckoning
VIO
Heterogeneous
connectivity
Cellular 3G / 4G / 5G
Wi-Fi / BT
CAN / Ethernet / Powerline
We are accelerating the future of
autonomous vehicles
1. C-V2X Release 16 is still being worked on by 3GPP
NOTE: Anshuman suggested we add capability bullet points next to each technology. Need to know what those are, exactly. I’ve filled in the two examples he sent and left others in magenta.
C-V2X will define two transmission modes that work together to enable a broad range of automotive use cases:
Direct communications – Enhancing LTE Direct device-to-device communications, by utilizing what is called the PC5 Interfacet o enable exchange of real-time information between vehicles traveling at fast speeds, in high-density traffic, and even out of mobile network coverage.
Supports a mechanism where cars can broadcast messages (e.g., their location, speed) to other cars directly at 100s of meters range at 100msec duty cycle.
The PC5 interface was first introduced in Release 12 3GPP when a D2D Discovery and communications system was first defined.
Now in R14 we are enhancing this interface to deal with high Doppler, improve synchronization, latency etc.
Works both in and out of network coverage.
Suitable for V2V safety and other latency sensitive use cases
Network communications - Leveraging existing infrastructure and ubiquitous coverage of existing LTE networks (optimized LTE Broadcast and unicast) to bring additional services, such as, finding open parking space or alerting to an accident a few miles ahead.
It utilizes the cellular network and the Uu Interface which is the interface you normally use to access the cellular network.
In this mode the network can communicate with the cars using the cellular broadcast system (called eMBMS), while vehicles can communicate with the network via unicast over the regular WAN connection and the Uu interface.
Suitable for more latency tolerant use cases
The purpose of Cellular-V2X is to provide a meaningful alternative to 802.11p (aka DSRC) which is a technology that was developed 15 years ago. C-V2X aims to provide a modern alternative with superior performance and a clear evolution path which can benefit from the introduction of 5G technologies and the cellular ecosystem as a whole. C-V2X builds on top of LTE Direct D2D Communications by:
Enhancing the physical layer to address the latency-critical, reliable V2X communications use case
Reusing all the upper layers that have been defined for over a decade now in ISO, ETSI and IEEE 1609 family of specifications. A very rich set of applications and services has been defined by the automotive industry for example by the Society of Automotive Engineers (SAE), while extensive specifications in the area of transport layers as well as security has been worked on by many regional bodies like ISO, ETSI and IEEE.
The path to 5G will deliver this evolution starting with C-V2X technology as part of 3GPP release 14 specifications. The direct communication component of V2X is expected to be completed by the end of this year and overall spec completion expected mid-2017
C-V2X will provide a unified connectivity platform for safer “vehicles of tomorrow.”, providing the following benefits:
Enhancements of LTE Direct for V2X communication, bringing improvements over 802.11p – up to a few additional seconds of alert time and twice the range of DSRC.
Leveraging existing LTE networks for V2X communications, using the existing infrastructure and ubiquitous coverage of LTE networks (including LTE Broadcast and unicast) to offer additional applications and services (e.g. alert drivers to an accident a few miles ahead or guide here to an open parking space). Using existing infrastructure allows more cost effective deployment of network communication (no need for dedicated roadside units)
Building upon existing LTE services for automotive, such as telematics and infotainment.
A rich roadmap to 5G with strong ecosystem, evolving the technology to accommodate ever-expanding safety requirements and use cases
Beyond safety, Cellular V2X also enables a broad range of use cases from better situational awareness to enhanced traffic management and connected cloud services.
Peak-to-Average Power Ratio (PAPR)
The purpose of Cellular-V2X is to provide a meaningful alternative to 802.11p (aka DSRC) which is a technology that was developed 15 years ago. C-V2X aims to provide a modern alternative with superior performance and a clear evolution path which can benefit from the introduction of 5G technologies and the cellular ecosystem as a whole. C-V2X builds on top of LTE Direct D2D Communications by:
Enhancing the physical layer to address the latency-critical, reliable V2X communications use case
Reusing all the upper layers that have been defined for over a decade now in ISO, ETSI and IEEE 1609 family of specifications. A very rich set of applications and services has been defined by the automotive industry for example by the Society of Automotive Engineers (SAE), while extensive specifications in the area of transport layers as well as security has been worked on by many regional bodies like ISO, ETSI and IEEE.
Autonomous vehicles will redefine highway safety by significantly reducing accidents
US, ~94% of car accidents due to driver error
Today’s mobile tech provides connectivity, intelligence required for driverless car
GNSS for precise position location
Computer vision to detect, respond to environment around car
Sensor fusion using location, cameras, radar
5G will enable greater autonomy w/ high reliability, very low latency—build on C-V2X