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
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
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
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
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.
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.
How do we prepare for the next 40 years? Do we need to worry about this now? What do we know about the timeline? We will explore what we know now and what we need to consider going forward. Presented at the 2017 D-STOP Symposium.
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.
Beginners: Introduction to 5G Reduced Capability (RedCap) Devices3G4G
A quick introduction to new 3GPP Release-17 feature called RedCap or Reduced Capability New Radio devices. This feature was earlier called NR-Light / NR-Lite and is sometimes referred to as Low Complexity NR devices.
This tutorial looks at why this is needed, how is it different from the existing 5G requirements for eMBB, URLLC & mMTC, and why can't 4G be used instead of 5G for this feature.
We will also look at some of the proposals for enhancement of RedCap that are being discussed for 5G-Advanced in 3GPP Release-18
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Vehicle to vehicle Communication Systems (V2V) are an emerging type of networks in which vehicles use a dynamic wireless exchange of data between nearby vehicles providing each other with information, such as safety warnings and traffic information.
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.
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.
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/
What is V2X? The term covers a range of technology, actually, such as:
- Vehicle to vehicle communications
- Vehicle to infrastructure communications
- Vehicle to pedestrian communications
And much more. Learn about the technology at play and what challenges implementers face in this presentation.
LTE Release 13 and SMARTER – Road Towards 5GYi-Hsueh Tsai
3GPP Overview
TSG Plenary Status
RAN workshop on 5G
SA1 5G SMARTER
Radio Interface Technology definition
Time Delay analysis
Four New Building Block Study Items for 5G
Enhanced Mobile Broadband
Massive Internet of Things
Critical Machine Communications (ultra-reliable and low latency)
Network operation (including Migration and Interworking)
Capabilities of Future IMT systems
Conclusions
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.
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.
How do we prepare for the next 40 years? Do we need to worry about this now? What do we know about the timeline? We will explore what we know now and what we need to consider going forward. Presented at the 2017 D-STOP Symposium.
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.
Beginners: Introduction to 5G Reduced Capability (RedCap) Devices3G4G
A quick introduction to new 3GPP Release-17 feature called RedCap or Reduced Capability New Radio devices. This feature was earlier called NR-Light / NR-Lite and is sometimes referred to as Low Complexity NR devices.
This tutorial looks at why this is needed, how is it different from the existing 5G requirements for eMBB, URLLC & mMTC, and why can't 4G be used instead of 5G for this feature.
We will also look at some of the proposals for enhancement of RedCap that are being discussed for 5G-Advanced in 3GPP Release-18
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Vehicle to vehicle Communication Systems (V2V) are an emerging type of networks in which vehicles use a dynamic wireless exchange of data between nearby vehicles providing each other with information, such as safety warnings and traffic information.
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.
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.
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/
What is V2X? The term covers a range of technology, actually, such as:
- Vehicle to vehicle communications
- Vehicle to infrastructure communications
- Vehicle to pedestrian communications
And much more. Learn about the technology at play and what challenges implementers face in this presentation.
LTE Release 13 and SMARTER – Road Towards 5GYi-Hsueh Tsai
3GPP Overview
TSG Plenary Status
RAN workshop on 5G
SA1 5G SMARTER
Radio Interface Technology definition
Time Delay analysis
Four New Building Block Study Items for 5G
Enhanced Mobile Broadband
Massive Internet of Things
Critical Machine Communications (ultra-reliable and low latency)
Network operation (including Migration and Interworking)
Capabilities of Future IMT systems
Conclusions
Full immersion is achieved by simultaneously focusing on the broader dimensions of visual quality, sound quality, and intuitive interactions. This presentation discusses how:
- Technology improvements continue to drive more immersive experiences, especially for VR and AR
- High Dynamic Range (HDR) will enhance the visual quality on all our screens
- Scene-based audio is a new paradigm for 3D audio
- Natural user interfaces like voice, gestures, and eye tracking are making interactions more intuitive
Shared/unlicensed spectrum is important for 5G and is valuable for wide range of deployments from extreme bandwidth by aggregating spectrum, enhanced local broadband to Internet of Things verticals. 5G New Radio (NR) will natively support all different spectrum types and is designed to take advantage of new sharing paradigms. We are pioneering 5G shared spectrum today by building on LTE-U/LAA, LWA, CBRS/LSA and MulteFire.
3GPP TR 22.885 study on LTE support for V2X servicesYi-Hsueh Tsai
The vehicular communication in this study, referred to as Vehicle-to-Everything (V2X), contains the following three different types:
- Vehicle to Vehicle (V2V) Communications
- Vehicle to Infrastructure (V2I) Communications
- Vehicle to Pedestrian (V2P) Communications
MulteFire is a new LTE-based air-interface that is being developed to operate solely in unlicensed spectrum, enabling it to offer the best of both worlds: LTE-like performance with Wi-Fi-like deployment simplicity.
MulteFire will broaden the LTE ecosystem with new deployment scenarios, such as enhanced broadband services and neutral hosts benefiting operators to augment wireless services. MulteFire applies to any unlicensed or shared spectrum when over-the-air contention is needed (listen before talk), such as the global 5 GHz band or the new 3.5 GHz band in the USA. The combination of neutral spectrum with high performing LTE and self-organizing networks will enable neutral host small-cells in more locations.
AT&T View on LTE to 5G Network Migration Eiko Seidel
3GPP currently investigates possible 5G architecture options and how to migrate from LTE to 5G. The first stip will be to use Dual Connectivity with 5G while LTE is the Primary Cell. This will allow for very early deployments. Further steps are still to be defined and highly depend on the relation of EPC and Next Generation Core.
Progress on LAA and its relationship to LTE-U and MulteFireQualcomm Research
Licensed Assisted Access (LAA) is introduced in 3GPP release 13 as part of LTE Advanced Pro. It uses carrier aggregation in the downlink to combine LTE in unlicensed spectrum (5 GHz) with LTE in the licensed band.
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/
Introduction to LTE Advanced Pro. LTE Advanced Pro is a rich roadmap of technologies that will be introduced as part of the global 3GPP standard starting with Release 13 and beyond.
Overview 5G Architecture Options from Deutsche TelekomEiko Seidel
At 3GPP RAN#72 5G Architecture discussion took place. This document lists all options that are under discussion.
Source: RP-161266 at RAN#72 Deutsche Telekom
The essential role of Gigabit LTE and LTE Advanced Pro in the 5G WorldQualcomm Research
As the next phase in the evolution of LTE (3GPP Release 13 and beyond), LTE Advanced Pro does more than just push LTE capabilities closer towards 5G. It will also become an integral part of the 5G mobile network, providing many services essential to the 5G experience starting day one. Learn more at: https://www.qualcomm.com/invention/technologies/lte/advanced-pro
3GPP Standards for the Internet-of-ThingsEiko Seidel
Presenation by 3GPP RAN3 Chairman - Philippe Reininger - at the IoT Business & Technologies Congress (November 30, in Singapore). Main topics are eMTC, NB-IOT and EC-GSM-IoT as completed in 3GPP Release 13 and enhanced in Release 14
Preparing for CV Deployment read ahead 9-8-18raymurphy9533
The fundamental premise of the connected vehicle environment lies in the power of wireless connectivity among vehicles (V2V communications), the infrastructure (V2I communications), and mobile devices to bring about transformative changes in highway safety, mobility, and the environmental impacts of the transportation system.
The expanding role of LTE Advanced, delivering new, transformative technologies that go well beyond faster peak data rates. These new technologies include introducing LTE-M for efficient machine-type communications, expanding LTE Direct device-to-device capabilities and use cases, empowering new services-such as LTE Ultra-Low Latency, and also driving convergence of traditionally disparate networks, spectrum types, and deployment models-such as LTE and Wi-Fi Convergence. Realizing a new connectivity paradigm with LTE Advanced-trailblazing the path to 5G!
Accelerating the mobile ecosystem expansion in the 5G Era with LTE Advanced ProQualcomm Research
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.
So, do we have to wait until 2020+ for the next phase of 5G NR before we can start enabling new mobile use cases?
LTE Advanced Pro will fill the gap and is continuing to evolve to bring new capabilities and efficiencies. Check out this presentation for:
• Gigabit LTE: anchoring the 5G mobile experience now with over 45 commercial networks globally. Our 3rd gen chipset — the Qualcomm Snapdragon X24 can deliver up to 2 Gbps.
• LTE IoT: starting to connect the massive IoT today, and its continued evolution will be fully leveraged by 5G NR IoT in Rel-16+.
• C-V2X: establishing the foundation for enhanced safety use cases in Rel-14 and a continued 5G NR C-V2X evolution for future autonomous vehicles.
• Private networks: delivering an optimized solution for the industrial IoT, and establishing the foundation to private 5G NR networks that will enable new use cases.
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.
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.
A Fresh Approach to Remote IoT ConnectivityPodsystem M2M
Our infographic “A Fresh Approach to remote IoT Connectivity” has been designed to provide IoT applications developers – particularly those focused on remote, roaming and mission critical applications – with information and advice on connectivity options, device design and future-proofing to prolong the lifespan of the application and avoid costly mistakes.
Our infographic “A Fresh Approach to remote IoT Connectivity” has been designed to provide IoT applications developers – particularly those focused on remote, roaming and mission critical applications – with information and advice on connectivity options, device design and future-proofing to prolong the lifespan of the application and avoid costly mistakes.
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
Next-Generation Wireless Overview & Outlook 7/7/20Mark Goldstein
On July 7, 2020 I presented a Next-Generation Wireless Overview & Outlook deep dive covering the next generation wireless landscape with its underlying emerging technologies, markets, and trends. I’ve tried to capture all of today's wireless essentials in this brief briefing. Enjoy!
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
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
3GPP Release 17: Completing the first phase of 5G evolutionQualcomm Research
This presentation summarizes 5G NR Release 17 projects that was completed in March 2022. It further enhances 5G foundation and expands into new devices, use cases, verticals.
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
Setting off the 5G Advanced evolution with 3GPP Release 18Qualcomm Research
In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.
Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs.
As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness.
Download the deck to learn more.
The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this presentation, we’ll discuss:
- Why on-device learning is crucial for providing intelligent, personalized experiences without sacrificing privacy
- Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning
- How we are solving system and feasibility challenges to move from research to commercialization
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
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
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https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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UI automation Sample
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Cellular V2X
1. Leading the world to 5G:
Cellular Vehicle-to-Everything
(C-V2X) technologies
June 2016
2. 2
The connected vehicle is already a mainstream reality
1 Combination of Strategy Analytics, Jan. ‘16 and LMC Automotive; 2 Qualcomm Technologies, Inc. company data; 3 Includes SoC, Cellular, Bluetooth, Wi-Fi , GNSS and PLC
#1 in telematics2
Decades of industry experience
Broad portfolio of technologies
340M+ ASICs shipped, serving 20+
OEMs globally3
Cellular penetration in new light
vehicles sales by 20211
60%
Qualcomm Technologies, Inc. is a proven,
trusted solution provider for automotive
3. 3
Our vision for the always-connected vehicle of the future
A safer, more efficient, more enjoyable driving experience
Safer—towards zero
road accidents
Greener—reduce air
pollution & emissions
More predictable and
productive travel
Increasingly
autonomous
Highly intelligent
Highly secure
Increasingly
electric (or hybrid)
Always connected
4. 4
Requires new levels of connectivity and intelligence
Heterogeneous
connectivity
On-device
intelligence
Vehicle-to-Everything
communications
Connected
infotainment
Wireless EV
charging
Real-time
navigation
Bluetooth
Wi-Fi / Hotspot
Cellular 3G/4G/5G
Always-on
telematics
CAN / Ethernet /
Powerline
Intuitive
instrumentation
Immersive
multimedia
Augmented
reality
Always-on
sensing
Computer vision
Intuitive security
Machine learning
5. 5
Delivering significant economic and societal impact
Total potential economic impact of over $1 Trillion USD per year
1
Less greenhouse
gas emissions
More predictable,
productive travel
Fewer driving
fatalities/injuries
people die each year
on the roads worldwide
2
>1.2M gallons of fuels wasted due
traffic congestion in the US
3
3.1B of all global warming
emissions from transportation4
14%
1 Rocky Mountain Institute 2016; 2 Global Status Report on Road Safety, World Health Organization 2015; 3 Texas Transportation Institute Urban Mobility Report, 2015;
4 U.S, Environmental Protection Agency (EPA) 2014
6. 6
V2X is a critical component to our vision
Giving vehicles the ability to communicate with each other and beyond
Vehicle-to-
vehicle (V2V)
e.g. collision avoidance safety systems
Vehicle-to-
infrastructure (V2I)
e.g. traffic signal
timing/priority
Vehicle-to-network (V2N)
e.g. real-time traffic / routing, cloud services
Vehicle-to-pedestrian
(V2P)
e.g. safety alerts to
pedestrians, bicyclists
7. 7
V2X is a key technology enabler to enhanced ADAS
Bringing significant value to Advanced Driver Assistance Systems (ADAS)
Improved active safety
Provides 360◦
non-line-of-sight
awareness, e.g. intersections/on-
ramps, environmental conditions
Better traffic efficiency
Allows vehicles to safely drive
closer to each other and enables
optimization of overall traffic flow
Increased situational awareness
Provides ability to gather data from
further ahead to deliver a more
predictable driving experience
V2I
V2N
V2V
V2P
LiDAR
Radar
Computer
Vision
8. 8
V2X enables a broad and growing set of use cases
Much more than collision avoidance
Queue warning
Forward collision warning Do Not Pass Warning (DNPW)
Blind
intersection
Cooperative
adaptive
cruise control &
platooning
Vulnerable Road
User (VRU) alerts
Emergency
vehicle alert
Discover parking
and charging
Traffic signal priority
and optimal speed advisory
Curve speed warning
9. 9
Wi-Fi based technology – 802.11p standard
Adapted for latency-critical V2X communications in the 5.9 GHz band
Established security and upper layer specifications
With service layer / performance requirements defined by SDOs, e.g.SAE, ETSI-ITS1
Path to DSRC2 rulemaking in USA by NHSTA3 expected to start in 20164
Based on 802.11p standard
Large scale field trials completed over the last decade
Commercially available technology here today
802.11p has established the foundation for V2X
1 Standard Development Organizations, e.g. Society for Automotive Engineers, European Telecommunications Standards Institute – Intelligent Transport Systems; 2 Dedicated Short Range Communications (DSRC);
3 National Highway Traffic Safety Administration; 4 To improve road safety for future ‘light vehicles’ – Qualcomm has conducted extensive research into various use cases for DSRC, including V2P applications that
could extend the safety benefits to vulnerable road users such as pedestrians and cyclists
QCA6584
* 2nd generation Qualcomm
Technologies 802.11p
offering with integrated
Wi-Fi LAN and Bluetooth
10. 10
Paving the path to more autonomous driving
Requires continued V2X technology evolution
Increasing safety
requirements
Active safety use cases need to
account for faster moving vehicles
and denser traffic conditions
Expanding
use cases
New situational awareness,
traffic management, and
connected cloud services
More
vehicle data
From sharing simple status
data today to a fully coordinated
driving experience
11. 11
Introducing Cellular V2X (C-V2X)
A unified connectivity platform for the connected vehicle of the future
Part of Release 14 of the global 3GPP standard
Target C-V2X specification completion end of 20161
Builds upon existing LTE connectivity platform for automotive
LTE already delivering key services today, e.g. telematics, eCall, connected infotainment
Enhances LTE Direct for V2X direct communications
Improvements over 802.11p – up to a few additional seconds of alert latency and 2x range2
Leverages existing LTE networks for V2X network communications
Using LTE Broadcast optimized for V2X to offer additional applications/services
Rich roadmap towards 5G with strong ecosystem support
Technology evolution to address expanding capabilities/use cases
1 For Direct communications component (enhancements to LTE Direct) – overall spec completion expected mid-2017; 2 Based on Qualcomm Research simulations (see future slides for further information)
12. 12
Advanced MIMO
Carrier aggregation
Low LatencyDual connectivity
SON+
Massive/FD-MIMO
CoMP
Device-to-device
Unlicensed spectrum
Enhanced CAInternet of Things256QAM
C-V2X
FeICIC
FDD-TDD CA
eLAA
Enhanced Broadcast
Part of rich roadmap of technologies
Paving the path to 5G
Note: Estimated commercial dates. Not all features commercialized at the same time
LTE Advanced ProLTE Advanced
2015 2020+
Rel-10/11/12
5GRel-15 and beyond
Rel-13 and beyond
13. 13
Example 5.9 GHz
V2X requires regionally harmonized ITS spectrum
Recommend at least 70 MHz of spectrum to support technology / use case evolution
1 Must prove it can co-exist with V2X technologies
to accommodate today’s existing/emerging use
cases (802.11p and/or C-V2X)30 MHz
Dedicated
+
+
20 MHz
Primary
for future intelligent transportation use cases or
technology migration
may be shared with unlicensed spectrum
access technologies120 MHz
Shared
14. Expanding and
evolving the cellular
system for V2X
communications
Introduced in 3GPP Release 14—part of LTE Advanced Pro
15. 15
C-V2X defines two complementary transmission modes
Direct communications
Building upon LTE Direct device-to-device design with
enhancements for high speeds / high Doppler, high
density, improved synchronization and low latency
• Proximal direct communications (100s of meters)
• Operates both in- and out-of-coverage
• Latency-sensitive use cases, e.g. V2V safety
Network communications
Using LTE Broadcast to broadcast messages from a V2X
server to vehicles and beyond. Vehicles can send messages
to server via unicast.
• Wide area networks communications
• Leverages existing LTE networks
• More latency tolerant use cases, e.g. V2N situational awareness
PC5 interface
e.g. location, speed
Uu interface
e.g. accident 1 kilometer ahead
16. 16
Network
communications1
(Via Uu interface)
Direct
communications
(via PC5 interface)
C-V2X designed for both in-coverage and out-of-coverage
1 C-V2X also supports a single MNO managed network for in-coverage
Direct communications
(via PC5 interface)
Out-of-coverage In-coverage
Common V2V
frequency Common V2V
frequency
Operator A
V2N frequency 1
Operator B
V2N frequency 2
Operator C
V2N frequency 3
17. 17
Evolving the LTE Direct device-to-device platform
Release 14 and beyond
Multi-hop communication
and more use cases
Release 13
Expanded D2D discovery and
D2D communications
Release 12
D2D platform for consumer and
public safety use cases
More flexible discovery such as
restricted/private1 and inter-frequency
Discovery of 1000s of
devices/services in ~500m
Device-to-network
relays2
Reliable one-to-many communications
(in- and out-of-coverage)2
Enhancements for
vehicle-to-everything (V2X)
Additional D2D
communication capabilities,
e.g. multi-hop for IoT
1 Important for e.g. Social Networking discovery use cases; 2 Designed for Public Safety use cases
18. 18
LTE Direct device-to-device communications
Introduced in Release 12 for public safety use cases, e.g. push-to-talk
* SA = Scheduling Assignments
Transmit devices send SA to identify resources,
as well as Modulation and Coding Scheme (MCS)
for subsequent data transmission
Receive devices monitor SA resource to
determine when to listen for data transmission
Centralized (Mode 1)
eNodeB allocates control (SA*) and
data resources to transmit devices
Distributed (Mode 2)
Transmit device selects SA and
data resources from resource
pools; can operate out-of-coverage
4ms160ms
SA Data SA Data
Broadcast communication –
no channel feedback
19. 19
Reuse established service & app layers
Already defined by automotive community, e.g. SAE
Reuse existing security and transport layers
Defined by ISO, ETSI, and IEEE 1609 family
Enhancements to LTE Direct PHY/MAC
To address latency-critical, reliable V2X communications
C-V2X builds upon LTE Direct D2D communications
With enhancements to address V2X requirements
Applications
Safety and non-safety
IEEE / ISO /
ETSI
Transport
Message
Sublayer
UDP / TCP
IPv6
PDCP
RLC
MAC
PHY
LTE Direct
Protocol
3GPP reuse
other standards
3GPP
scope
IEEE / ISO
Security
Services
Non-IP
Note: Also enhancements to the LTE Direct network architecture / system design to support V2X
20. 20
Overcoming the challenges of V2X communications
High relative speeds
Leads to significant Doppler
shift / frequency offset
High node densities
Random resource allocation
results in excessive resource
collisions
Time synchronization
Lack of synchronization source
when out-of-coverage
Enhanced signal design
E.g. increasing # of ref signal symbols to
improve synchronization and channel estimation
Enhanced transmission structure
Transmit control and data on the same
sub-frame to reduce in-band emissions
More efficient resource allocation
New methods using sensing and semi-
persistent resource selection
Allow utilization of GPS timing
Enhancements to use satellite (e.g. GNSS)
when out-of-coverage
V2X Challenges C-V2X Solutions
250km/h
250km/h
21. 21
C-V2X increases reaction time over 802.11p/DSRC
For improved safety use cases – especially at high-speeds, e.g. highway
Based on link level curves and the 3GPP LOS path loss model @ 10% Packet Error – Actual performance varies significantly with vehicle density and environment
Safer driving
experience
Increased driver reaction time
Support for
high speeds
Relative speeds up to 500km/h
Increased situational
awareness
Gather data from further ahead
Braking distance
~2.5secReaction time ~9.2sec
C-V2X range >450m
802.11p range ~225m
Reaction time ~3.3sec
LTE ~8dB higher link budget due to single
carrier waveform, coding gain, longer
transmission time and higher Tx power
140km/h
140km/h
0km/h
22. 22
C-V2X leverages existing, ubiquitous LTE networks
With V2X communications via the network
1 SC-PTM: Singe-Cell – Point-To-Multipoint; 2 MNOs: Mobile Network Operators
V2X server
IP layer & above
LTE unicast
(UL)
LTE Broadcast
(DL)
Other inputs
Unified service platform
New opportunities for MNOs2
combined with today’s services
Further enhance V2V safety
By rebroadcasting V2V info via
network in high-density use cases
Increase range / utility
Increase situational awareness
using messaging via the network
Optimizations to decrease
end-to-end latency through
techniques like SC-PTM
23. 23
Delivering advanced services to vehicles
Opening up new opportunities and diverse business models for MNOs
1 Road Side Units
App Server
e.g. traffic management
V2I
(PC5)
V2V mostly for safety and
ADAS services
Most use cases use a
combination of interfaces
V2N provides over-the-top
cloud services V2I
(Uu)
V2N
(Uu)
RSUs can be eNodeBs or
standalone roadside devices
RSUs1 can connect to
network for cloud services
V2I allows RSUs to monitor
traffic, e.g. traffic signals, tolls
V2V
(PC5)
Uu Interface
PC5 Interface
24. Roadmap to 5G will bring
even more opportunities for
the connected vehicle
3GPP Release 15 and beyond
25. 25
5G will bring new capabilities for the connected vehicle
New OFDM-based 5G air interface scalable to an extreme variation of requirements
1 Also exploring alternative roots of trust beyond the SIM card
Extreme throughput
Up to multi-Gpbs with more
uniformity—wider bandwidths,
advanced antenna techniques
Edgeless connectivity
New ways of connect, e.g. multi-hop
to extend coverage, plus natively
incorporate D2D
High reliability
Ultra-reliable transmissions that can
be time multiplexed with nominal traffic
through puncturing
1ms end-to-end latency
Through a faster, more flexible
frame structure; also new uplink
RSMA non-orthogonal access
High availability
Multi-connectivity to provide multiple
links for failure tolerance and mobility
26. 26
5G will build upon and enhance C-V2X
New 5G platform will augment /complement C-V2X—no ‘rip and replace’
Multi-mode vehicle with
simultaneous connectivity
across 4G LTE, C-V2X and 5G
Continue to evolve and
provide ubiquitous coverage
as 5G is rolled out
Bring new capabilities for
C-V2X network communications
and augment C-V2X direct
communications over time
C-V2X direct and network
communications
27. 27
Flexible 5G network architecture also brings benefits
Leveraging virtualized network functions to create optimized network slices
• Configurable end-to-end connectivity per vertical
• Modular, specialized network functions
per services
• Flexible subscription models
• Dynamic control and user planes with more
functionality at the edge
Better cost/energy
efficiency
Optimized
performance
Flexible business
models
Dynamic creation
of services
Mobile broadband
Telematics
Mission-critical
control
28. 28
Enabling the next gen of connected vehicle experiences
Sample use cases
e.g. cooperative collision avoidance
and high-density platooning which
requires new levels of latency and
reliability, plus larger message sizes
e.g. see-through capability when
driving behind truck or leveraging
real-time video feeds for navigation
systems
Passengers can enjoy the next
generation of connected immersive
experiences, e.g. Virtual Reality,
3D/UHD video telepresence
Fully autonomous driving V2X augmented reality Extreme mobile broadband
29. 29
5G standardization progressing for 2020 launch
Note: Estimated commercial dates; 1 Forward compatibility with R16 and beyond
2016 20212017 2019 2020 20222015 2018
5G study items
Continued LTE evolution in parallel with 5G
5G
phase 2
First 5G
launch1
3GPP RAN workshop
R17+
5G evolution
R16 5G
WI’s
R15 5G
WI’s
Learn more at: www.qualcomm.com/5G
30. Qualcomm is leading
the way towards
the connected vehicle
of the future
An established leader today—pioneering
tomorrow’s technologies
31. 31
Our technology is enabling
the connected car experience today
Multimedia Power
Management
GPU RF Software/
HLOS
Position/
Location
DSP Wi-Fi /
DSRC
Wireless EV
Charging
3G/4G LTE CPUBluetooth
Powerline Ethernet Security
Multi-OS
support
Computer
Vision
32. 32
Content sharing
Navigation
Instrumentation
Mobile device integration
CarPlay, Android Auto, Miracast
Qualcomm® SnapdragonTM automotive solutions
Transforming in-car experiences of the future
Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc. This use case is a hypothetical depiction of potential
applications for Snapdragon product offerings—not actual connected car and infotainment product. All screen images are simulated.
• Application processor
• Location and
navigation
• Wi-Fi/BT
• Telematics via
4G LTE/3G
• Informational ADAS
• V2X—DSRC
• AM/FM/DAB/HD
tuner
Bluetooth
Wi-Fi hotspot
4G LTE telematics
Multimedia streaming
Driver assistance
33. 33
Pioneering C-V2X technologies
LTE Direct and LTE Broadcast are the foundation to C-V2X
Main contributor to 3GPP
World’s 1st LTE Direct discovery demo
World’s 1st LTE Direct communications demo
LTE Broadcast
Multicast
communications
platform
LTE Direct
Device-to-device
communications
platform
Main contributor to 3GPP
World’s 1st LTE Broadcast solution
Powered the 1st commercial launch
C-V2X
Actively driving ongoing C-V2X
Release 14 Work Item
34. 34
Qualcomm, leading the world to 5G
Building on our leadership foundation
Pioneering new LTE and 5G
technologies to meet extreme
requirements
Wireless/OFDM
technology and
chipset leadership
Driving LTE Advanced Pro
and 5G from standardization
to commercialization
End-to-end system
approach with
advanced prototypes
Providing the experience
and scale that the future of
mobile networks demands
Leading global
network experience
and scale
Qualcomm® chipsets are products of Qualcomm Technologies, Inc. or its subsidiaries
36. 36
Roadmap to 5G will bring even more potential for the
connected vehicle—built upon C-V2X, so no ‘rip or replace’
Qualcomm is leading the way to the connected vehicle of
the future – pushing wireless boundaries and brining new
levels of on-device intelligence
In summary
V2X is a critical component of our vision for the always-
connected, more autonomous vehicle of the future
Cellular V2X brings improvements over 802.11p/DSRC for
active safety use cases and beyond – part of 3GPP Release 14
Learn more at: www.qualcomm.com/C-V2X
38. Questions? - Connect with Us
@Qualcomm_tech
http://www.slideshare.net/qualcommwirelessevolution
http://www.youtube.com/playlist?list=PL8AD95E4F585237C1&feature=plcp
www.qualcomm.com/wireless
BLOG
www.qualcomm.com/news/onq