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.
What is 5G NR all about? Check out this presentation to see all the key design components of this new unifying air interface for the next decade and beyond.
A presentation / video looking at 5G spectrum auctions and allocations and how different types of spectrum is required for providing a perfect 5G coverage
All our slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Digital Mobile Network Evolution - from GSM to 5G3G4G
A network centric view of the evolution of digital cellular mobile communications systems; from 2G GSM, through 3G UMTS, 4G LTE to 5G.
Lecture delivered by Prof. Andy Sutton at The IET Digital Communications event on 24 Oct 2019 at University of Suffolk, Ipswich, United Kingdom
***** SHARED WITH PERMISSION *****
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.
What is 5G NR all about? Check out this presentation to see all the key design components of this new unifying air interface for the next decade and beyond.
A presentation / video looking at 5G spectrum auctions and allocations and how different types of spectrum is required for providing a perfect 5G coverage
All our slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Digital Mobile Network Evolution - from GSM to 5G3G4G
A network centric view of the evolution of digital cellular mobile communications systems; from 2G GSM, through 3G UMTS, 4G LTE to 5G.
Lecture delivered by Prof. Andy Sutton at The IET Digital Communications event on 24 Oct 2019 at University of Suffolk, Ipswich, United Kingdom
***** SHARED WITH PERMISSION *****
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.
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/
Propelling 5G forward: a closer look at 3GPP Release-16Qualcomm Research
This presentation summarizes the 3GPP 5G NR Release 16 projects, including eMBB enhancements, unlicensed, sidelink, IAB, TSN, eURLLC, private networks, C-V2X, and more...
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 ***
The slides givews an overview of the Ericsson 5G training program for 2018, including fundamentals as well as technical overviews of 5G Core and 5G RAN.
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
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
An overview of 5G NR key technical features and enhancements for massive MIMO, mmWave, etc.
Presented by Yinan Qi, Samsung Electronics R&D Institute UK at Cambridge Wireless event Radio technology for 5G – making it work
*** SHARED WITH PERMISSION ***
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.
Begin your evolution with Ericsson’s new small cell solutions.
There is need for the multi-operator dots, multi-dot enclosure, and strand -mounted bracket. The complicated arrangements are made easier with Ericsson small cell solutions.
Content
Brief history about wireless ecosystem.
What is LTE (Long Term Evolution) ?
How is it different from older technologies ?
Network architecture in LTE
Radio Access network (RAN)
Evolved Packet Core (EPC)
Bearers in LTE
Interfaces in LTE
Life Cycle of a UE
LTE RAN overview
Architecture and requirements
Channel bandwidths and operating bands
OFDMA and SC-FDMA
Frequency (LTE-FDD) and time division duplexing (LTE-TDD)
Multiple Antenna techniques in LTE
Channels in LTE and protocol Stack
LTE EPC overview
Architecture
Functions of various elements in EPC
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/
Propelling 5G forward: a closer look at 3GPP Release-16Qualcomm Research
This presentation summarizes the 3GPP 5G NR Release 16 projects, including eMBB enhancements, unlicensed, sidelink, IAB, TSN, eURLLC, private networks, C-V2X, and more...
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 ***
The slides givews an overview of the Ericsson 5G training program for 2018, including fundamentals as well as technical overviews of 5G Core and 5G RAN.
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
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
An overview of 5G NR key technical features and enhancements for massive MIMO, mmWave, etc.
Presented by Yinan Qi, Samsung Electronics R&D Institute UK at Cambridge Wireless event Radio technology for 5G – making it work
*** SHARED WITH PERMISSION ***
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.
Begin your evolution with Ericsson’s new small cell solutions.
There is need for the multi-operator dots, multi-dot enclosure, and strand -mounted bracket. The complicated arrangements are made easier with Ericsson small cell solutions.
Content
Brief history about wireless ecosystem.
What is LTE (Long Term Evolution) ?
How is it different from older technologies ?
Network architecture in LTE
Radio Access network (RAN)
Evolved Packet Core (EPC)
Bearers in LTE
Interfaces in LTE
Life Cycle of a UE
LTE RAN overview
Architecture and requirements
Channel bandwidths and operating bands
OFDMA and SC-FDMA
Frequency (LTE-FDD) and time division duplexing (LTE-TDD)
Multiple Antenna techniques in LTE
Channels in LTE and protocol Stack
LTE EPC overview
Architecture
Functions of various elements in EPC
Over the last year, the industry has made tremendous progress towards making 5G NR a reality with Qualcomm leading the way. We have completed the first release of 3GPP 5G NR specifications, we are set to kick-off 3GPP-compliant 5G NR trials, and we are accelerating global 5G NR enhanced mobile broadband commercial deployments to start in 2019.
But yet there still remains a decent amount of mystery and skepticism around 5G NR. What exactly is 5G NR? What technologies and use cases will see first and why? Are wide-scale 2019 mobile deployments really possible? And what will the evolution of 5G NR bring beyond 2019?
How does unlicensed spectrum with NR-U transform what 5G can do for you?Qualcomm Research
NR-U brings the power of 5G to unlicensed spectrum globally. NR-U can help service providers deliver the 5G experience end-users have come to expect with or without licensed spectrum. Read more at https://www.qualcomm.com/news/onq/2020/06/11/how-does-support-unlicensed-spectrum-nr-u-transform-what-5g-can-do-you
5G will be much more than just a new generation with faster peak rates. We are building a unified, more capable 5G platform to connect new industries, enable new services and empower new user experiences. This presentation details the key components for designing the unified, more capable 5G platform featuring an OFDM-based unified air interface. Learn about the key technology enablers for the 5G platform, and see how we are pioneering many of these technologies today with LTE Advanced and Wi-Fi.
For more information on 5G technologies, use cases and timelines, please visit us at www.qualcomm.com/5G.
Objective is to include the brief insight on 5G network architecture and standard progress, Accumulated it from different paper/journal, vendor’s white paper and different blog.
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.
The new 5G unified air interface is being designed to not only vastly enhance mobile broadband performance and efficiency, but also scale to connect the massive Internet of Things and enable new types of services such as mission critical control that require ultra-low latency and new levels of reliability and security. The new design will unify diverse spectrum types and bands, scale from macro deployments to local hotspots and efficiently multiplex the envisioned 5G services across an extreme variation of requirements.
For more information on 5G technologies, use cases and timelines, please visit us at www.qualcomm.com/5G.
Next-generation immersive use cases such as VR and AR will demand even faster data rates, lower latency, and more capacity that will push the boundaries of LTE networks. Now, Gigabit LTE is here to deliver fiber-like wireless broadband that meets these expanding requirements. We are leading the Gigabit LTE evolution. Read more at https://www.qualcomm.com/invention/technologies/lte/advanced-pro/gigabit-lte
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AIQualcomm Research
How do you find the best solution when faced with many choices? Combinatorial optimization is a field of mathematics that seeks to find the most optimal solutions for complex problems involving multiple variables. There are numerous business verticals that can benefit from combinatorial optimization, whether transport, supply chain, or the mobile industry.
More recently, we’ve seen gains from AI for combinatorial optimization, leading to scalability of the method, as well as significant reductions in cost. This method replaces the manual tuning of traditional heuristic approaches with an AI agent that provides a fast metric estimation.
In this presentation you will find out:
Why AI is crucial in combinatorial optimization
How it can be applied to two use cases: improving chip design and hardware-specific compilers
The state-of-the-art results achieved by Qualcomm AI Research
- There is a rich roadmap of 5G technologies coming in the second half of the 5G decade with the 5G Advanced evolution
- 6G will be the future innovation platform for 2030 and beyond building on the 5G Advanced foundation
- 6G will be more than just a new radio design, expanding the role of AI, sensing and others in the connected intelligent edge
- Qualcomm is leading cutting-edge wireless research across six key technology vectors on the path to 6G
3D perception is crucial for understanding the real world. It offers many benefits and new capabilities over 2D across diverse applications, from XR and autonomous driving to IOT, camera, and mobile. 3D perception with machine learning is creating the new state of the art (SOTA) in areas, such as depth estimation, object detection, and neural scene representation. Making these SOTA neural networks feasible for real-world deployment on mobile devices constrained by power, thermal, and performance has been a challenge. Qualcomm AI Research has developed not only novel AI techniques for 3D perception but also full-stack AI optimizations to enable real-world deployments and energy-efficient solutions. This presentation explores the latest research that is enabling efficient 3D perception while maintaining neural network model accuracy. You’ll learn about:
- The advantages of 3D perception over 2D and the need for 3D perception across applications
- Advancements in 3D perception research by Qualcomm AI Research
- Our future 3D perception research directions
5G is going mainstream across the globe, and this is an exciting time to harness the low latency and high capacity of 5G to enable the metaverse. A distributed-compute architecture across device and cloud can enable rich extended reality (XR) user experiences. Virtual reality (VR) and mixed reality (MR) are ready for deployment in private networks, while augmented reality (AR) for wide area networks can be enabled in the near term with Wi-Fi powered AR glasses paired with a 5G-enabled phone. Device APIs enabling application adaptation is critical for good user experience. 5G standards are evolving to support the deployment of AR glasses at a large scale and setting the stage for 6G-era with the merging of the physical, digital, and virtual worlds. Techniques like perception-enhanced wireless offer significant potential to improve user experience. Qualcomm Technologies is enabling the XR industry with platforms, developer SDKs, and reference designs.
Check out this webinar to learn:
• How 5G and distributed-compute architectures enable the metaverse
• The latest results from our boundless XR 5G/6G testbed, including device APIs and perception-enhanced wireless
• 5G standards evolution for enhancing XR applications and the road to 6G
• How Qualcomm Technologies is enabling the industry with platforms, SDKs, and reference designs
AI model efficiency is crucial for making AI ubiquitous, leading to smarter devices and enhanced lives. Besides the performance benefit, quantized neural networks also increase power efficiency for two reasons: reduced memory access costs and increased compute efficiency.
The quantization work done by the Qualcomm AI Research team is crucial in implementing machine learning algorithms on low-power edge devices. In network quantization, we focus on both pushing the state-of-the-art (SOTA) in compression and making quantized inference as easy to access as possible. For example, our SOTA work on oscillations in quantization-aware training that push the boundaries of what is possible with INT4 quantization. Furthermore, for ease of deployment, the integer formats such as INT16 and INT8 give comparable performance to floating point, i.e., FP16 and FP8, but have significantly better performance-per-watt performance. Researchers and developers can make use of this quantization research to successfully optimize and deploy their models across devices with open-sourced tools like AI Model Efficiency Toolkit (AIMET).
Presenters: Tijmen Blankevoort and Chirag Patel
Bringing AI research to wireless communication and sensingQualcomm Research
AI for wireless is already here, with applications in areas such as mobility management, sensing and localization, smart signaling and interference management. Recently, Qualcomm Technologies has prototyped the AI-enabled air interface and launched the Qualcomm 5G AI Suite. These developments are possible thanks to expertise in both wireless and machine learning from over a decade of foundational research in these complementing fields.
Our approach brings together the modeling flexibility and computational efficiency of machine learning and the out-of-domain generalization and interpretability of wireless domain expertise.
In this webinar, Qualcomm AI Research presents an overview of state-of-the-art research at the intersection of the two fields and offers a glimpse into the future of the wireless industry.
Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.
Speakers:
Arash Behboodi, Machine Learning Research Scientist (Senior Staff Engineer/Manager), Qualcomm AI Research Daniel Dijkman, Machine Learning Research Scientist (Principal Engineer), Qualcomm AI Research
How will sidelink bring a new level of 5G versatility.pdfQualcomm Research
Today, the 5G system mainly operates on a network-to-device communication model, exemplified by enhanced mobile broadband use cases where all data transmissions are between the network (i.e., base station) and devices (e.g., smartphone). However, to fully deliver on the original 5G vision of supporting diverse devices, services, and deployment scenarios, we need to expand the 5G topology further to reach new levels of performance and efficiency.
That is why sidelink communication was introduced in 3GPP standards, designed to facilitate direct communication between devices, independent of connectivity via the cellular infrastructure. Beyond automotive communication, it also benefits many other 5G use cases such as IoT, mobile broadband, and public safety.
5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes.
In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers.
Download this presentation to learn:
• What NR-Light is and why it can herald the next wave of 5G expansion
• How NR-Light is accelerating the growth of the connected intelligent edge
• Why NR-Light is a suitable 5G migration path for mid-tier LTE devices
Realizing mission-critical industrial automation with 5GQualcomm Research
Manufacturers seeking better operational efficiencies, with reduced downtime and higher yield, are at the leading edge of the Industry 4.0 transformation. With mobile system components and reliable wireless connectivity between them, flexible manufacturing systems can be reconfigured quickly for new tasks, to troubleshoot issues, or in response to shifts in supply and demand.
There is a long history of R&D collaboration between Bosch Rexroth and Qualcomm Technologies for the effective application of these 5G capabilities to industrial automation use cases. At the Robert Bosch Elektronik GmbH factory in Salzgitter, Germany, this collaboration has reached new heights.
Download this deck to learn how:
• Qualcomm Technologies and Bosch Rexroth are collaborating to accelerate the Industry 4.0 transformation
• 5G technologies deliver key capabilities for mission-critical industrial automation
• Distributed control solutions can work effectively across 5G TSN networks
• A single 5G technology platform solves connectivity and positioning needs for flexible manufacturing
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs.
As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness.
Download the deck to learn more.
The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this presentation, we’ll discuss:
- Why on-device learning is crucial for providing intelligent, personalized experiences without sacrificing privacy
- Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning
- How we are solving system and feasibility challenges to move from research to commercialization
This presentation outlines the synergistic nature of 5G and AI -- two disruptive areas of innovations that can change the world. It illustrates the benefits of adopting AI for the advancements of 5G, as well as showcases the latest progress made by Qualcomm Technologies, Inc.
Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss:
- Why the demand for improved data compression is growing
- Why AI is a compelling tool for compression in general
- Qualcomm AI Research’s latest AI voice and video codec research
- Our future AI codec research work and challenges
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within tight power and thermal budgets. Advancements in multiple areas are necessary to improve AI model efficiency, including quantization, compression, compilation, and neural architecture search (NAS). In this presentation, we’ll discuss:
- Qualcomm AI Research’s latest model efficiency research
- Our new NAS research to optimize neural networks more easily for on-device efficiency
- How the AI community can take advantage of this research though our open-source projects, such as the AI Model Efficiency Toolkit (AIMET) and AIMET Model Zoo
How to build high performance 5G networks with vRAN and O-RANQualcomm Research
5G networks are poised to deliver an unprecedented amount of data from a richer set of use cases than we have ever seen. This makes efficient networking in terms of scalability, cost, and power critical for the sustainable growth of 5G. Cloud technologies such as virtualization, containerization and orchestration are now powering a surge of innovation in virtualized radio access network (vRAN) infrastructure with modular hardware and software components, and standardized interfaces. While commercial off-the-shelf (COTS) hardware platforms provide the compute capacity for running vRAN software, hardware accelerators will also play a major role in offloading real-time and complex signal processing functions. Together, COTS platforms and hardware accelerators provide the foundation for building the intelligent 5G network and facilitate innovative new use cases with the intelligent wireless edge.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Expanding the 5G NR (New Radio) ecosystem
1. Expanding the
5G NR ecosystem
5G NR roadmap in 3GPP Rel-16 & beyond
April 2018
@qualcomm_tech
2. 22
Diverse services
Scalability to address an extreme
variation of requirements
Diverse deployments
From macro to indoor hotspots, with
support for diverse topologies
Mid-bands
1 GHz to 6 GHz
High-bands
Above 24 GHz (mmWave)
Low-bands
Below 1 GHzMassive Internet
of Things
Diverse spectrum
Getting the most out of a wide
array of spectrum bands/types
NR Designing a unified, more capable 5G air interface
A unifying connectivity fabric for future innovation
A platform for existing, emerging, and unforeseen connected services
Mission-critical
services
Enhanced mobile
broadband
5G
NR
www.qualcomm.com/5G-NRLearn more:
3. 3
First 5G NR standard complete — the global 5G standard
20182017 20202019 20222021
Release 17+ evolutionRel-16 work itemsRel-15 work items
Phase 2
Commercial launches
Phase 1
Commercial launchesNRField trialsIoDTs
Standalone (SA)
Accelerate eMBB deployments,
plus establish foundation for
future 5G innovations
Deliver new fundamental 5G NR
technologies that expand and
evolve the 5G ecosystem
Continue to evolve LTE in parallel as essential part of the 5G Platform
NSA
Approved
study items
We are here
4. 44
5G NR pioneering advanced 5G NR technologies
To meet an extreme variation of 5G NR requirements
Based on ITU vision for IMT-2020 compared to IMT-advanced; URLLC: Ultra Reliable Low Latency Communications; IAB: Integrated Access & Backhaul
10x
Connection
density
3x
Spectrum
efficiency
10x
Decrease in
end-to-end latency
10x
Experienced
throughput
100x
Traffic
capacity
100x
Network
efficiency
• Live
Enhanced mobile broadbandMission-critical services Massive Internet of Things
Cellular Vehicle-to-Everything (C-V2X)
Ultra Reliable Low Latency Comms (URLLC)
Drone communications Private Networks Deeper coverage Grant-free UL
Efficient signalingNarrow bandwidth
Enhanced power save modes
Massive MIMOScalable OFDM Mobile mmWave
Flexible slot-based frameworkSpectrum sharing
Advanced channel codingDual Connectivity
5. 5
A rich and continued roadmap of LTE Advanced Pro
advancements is foundational to the 5G evolution
Mobileexpansion
eMBB
URLLC
5G NR spectrum sharing
5G NR C-V2X
5G NR IoT
Private 5G NR network
Rel-16+Rel-15Rel-13 Rel-14
Cellular-V2X
LTE IoT (eMTC / NB-IoT)
Gigabit LTE with LAA
LTE spectrum sharing
Digital TV (eMBMS / enTV)
Public safety
Drones communications
Continued evolution
5G
NR
Significantly improve
performance, scalability
and efficiency
Further enhancements
toward meeting IMT-
2020 requirements in
existing LTE spectrum
www.qualcomm.com/lte-advanced-pro
Learn more:
6. 66
Qualcomm, the R&D engine fueling the 5G industry
3GPP standards and
technology leadership
Our system-level inventions
are foundational to 5G NR standard
Early system-level
R&D investments
Designing/testing 5G for many years
with best-in-class prototype systems
Global network experience
and ecosystem collaborations
Industry-leading demos, simulations, testing
and trials on path to commercialization
Building on our LTE technology leadership
NR Vodafone
Group
Download the “Making 5G NR a commercial reality” presentation to learn more — link
7. 77
Efficiently address
diverse spectrum,
deployments/services
Scalable OFDM-
based air interface
Scalable OFDM
numerology
Flexible slot-based
framework
Self-contained
slot structure
Advanced
channel coding
Massive
MIMO
Mobile
mmWave
Multi-Edge LDPC and
CRC-Aided Polar
Reciprocity-based
MU-MIMO
Key enabler to low
latency, URLLC and
forward compatibility
Efficiently support large
data blocks and a reliable
control channel
Efficiently utilize a large
number of antennas to
increase coverage/capacity
Enables wide mmWave
bandwidths for extreme
capacity and throughput
Beamforming
and beam-tracking
3GPP Rel-15 establishes a solid foundation for 5G NR
Our technology inventions are driving Rel-15 specifications
Early R&D investments | Best-in-class prototypes | Fundamental contributions to 3GPP
For enhanced mobile broadband and beyond
Download the 3GPP Release-15 5G NR design presentation to learn more — link
8. 88
5G next Gen Core (NGC) also part of 3GPP Rel-15
Increased flexibility through NFV and SDN — essential to 5G NR expansion
NFV: Network Functions Virtualization; SDN: Software Defined Networking
Better cost/energy
efficiency
Optimized
performance
Flexible biz models
and deployments
Dynamic creation
of services
Configurable end-to-end
connectivity per vertical
Modular, specialized network
functions per service
Flexible subscription models
Dynamic control and user planes
with more functionality at the edge
5G
Mobile broadband
Internet of Things
Mission-critical control
9. 9
Driving a rich 5G NR technology roadmap beyond eMBB
5G NR
URLLC
5G NR Spectrum Sharing in
unlicensed/shared spectrum
5G NR Non-Orthogonal
Multiple Access (NOMA)
5G NR
C-V2X
5G NR Integrated Access
and Backhaul
3GPP Rel-15
5G NR eMBB design
provides the foundation
Sub-6 GHz | mmWave
Wireless Industrial
Ethernet
10. 10
Spectrum sharing valuable for wide range of deployments
• Live
Enhancing existing
deployments
New types of deployments
Examples today: Gigabit LTE with LAA1 Examples today: Private LTE networks
Enhanced local broadband
Neutral host, neighborhood network
Licensed spectrum aggregation
Better user experience with higher speeds
Private 5G networks
Industrial IoT, Enterprise
1. Licensed-Assisted Access (LAA);
11. 1111
3GPP study on 5G NR operation in unlicensed spectrum
Designing with fair co-existence in any unlicensed spectrum:
NR/NR, NR/LTE, NR/Wi-Fi
1 Study item in Rel. 15 (RP-170828), which could be followed by a work item that is completed in Rel. 16.
NR in unlicensed aggregated with LTE
(dual connectivity) or NR (carrier-
aggregation) in licensed spectrum
NR operating standalone in unlicensed
spectrum. This will become the MulteFire™
evolution path to 5G.
Both below and above 6 GHz, e.g., 5GHz,
37GHz, 60GHz* (*assuming no change to
waveform)
Low-bands
below 1GHz
Mid-bands
1GHz to 24GHz
High-bands
above 24GHz
(mmWave)
NR-based LAA Standalone unlicensed Across spectrum bands
Licensed
anchor
Unlicensed
Aggregation
12. 12
Many years in the making to lead up to NR in unlicensed
Work started over 5 years ago when we first envisioned LTE in unlicensed
Expected
trials
Industry
discussions
Concept LTE-U
Forum work
Trials Commercial
deployments
Possible 3GPP
work item
Concept
Concept Industry
discussions
Alliance
work
Concept 3GPP
study item
3GPP work item Commercial
deployments
3GPP study
S
P
E
C
S
P
E
C
S
P
E
C
LTE-U
NR in unlicensed
LAA
MulteFire
20172013 2015 2016 20182014
13. 13
5G NR — opportunity for new spectrum sharing paradigms
5G NR
Spectrum
Sharing
Evolution Path
LTE-U / LAA
LWA
MulteFire
CBRS / LSA
Revolution Path
Flexible
NR framework
Guaranteed QoS
Time synch. and
coordinated sharing
Exploiting spatial
domain
Vertical & horizontal
sharing
Building on spectrum sharing technologies that we are pioneering today for LTE
www.qualcomm.com/spectrum-sharing
Learn more:
14. 1414
Demonstrating the potential
new 5G NR spectrum
sharing paradigms
Utilizes 5G NR spectrum sharing prototype — designed to
also support testing of 5G NR in unlicensed spectrum
Significant performance gains utilizing advanced intra-
operator CoMP and inter-operator SDM techniques
COMP = Coordinated Multi-Point
SDM = Spatial Domain Multiplexing
MWC 2018
www.qualcomm.com/videos/5g-nr-spectrum-sharing
Watch video:
15. 15
Industrial automationAviation and public safety
Remote medicineAutonomous vehicles
Smart grid/energyRobotics
5G NR URLLC
for new mission-
critical services
Ultra-low 1 ms e2e latency
Qualcomm Research locations
High reliability targeting 10-5 BLER1
Ultra reliable transmissions that can be time
multiplexed with nominal traffic through puncturing
High availability
Simultaneous links to both 5G and LTE for failure
tolerance and extreme mobility
A platform for tomorrow’s more
autonomous world
16. 16
New slot structure enables low latency communication
Efficient multiplexing with other services — more flexible than dedicated resources
1 Code Blog Group
Design such that other traffic can
sustain puncturing from mission-critical
transmission
Mini-slots optimized for short data transmissions;
can start at anytime — no need to wait for scheduling
Opportunity for uplink RSMA non-orthogonal
access using OFDM waveforms
Time-bounded retransmissions help to
achieve higher reliability with specified
latency limit
Self-contained TDD slot structure can
enable lower slot latency and quicker link
adaptation (e.g., faster SRS/CQI feedback)
Time
Frequency
Slot (e.g., 1 ms)
1st
transmission
2nd
transmission
eMBBDLCtrl
Nominal eMBB data
(with new CBG1
HARQ design)
URLLCData
URLLCData
URLLCCtrl
URLLCCtrl
eMBBULCtrl
Guard
17. 17
New 5G NR design allows for optimal trade-offs
E.g., leveraging wider bandwidths to offset mission-critical capacity reductions
1 Low BLER Block Error Rate, required to achieve high reliability with a hard delay bound; 2 All data based on Qualcomm simulations with approximate graphs and linear scales;
3x gain when increasing from 10 to 20MHz for 1e-4 BLER
Latency Latency
e.g. 1e-4 BLER1
e.g. 1e-2 BLER
Mission-critical
capacity
Latency
Example: 2X bandwidth
for 3x capacity gain2
Latency vs. capacity… Reliability vs. capacity…
But wider bandwidth
can offset reductions
Mission-critical
capacity
Mission-critical
capacity
18. 18
Private 5G NR networks for Industrial IoT use cases
Time-sensitive
networking
mmWave for
extreme eMBB
Wireless industrial
ethernet
Ultra-reliable
low-latency
Dedicated
Easy to deploy small-cells, hosted
or self-contained core network
Optimized
Tailored for industrial applications,
e.g., QoS, latency, security
On-premise
Locally managed,
sensitive data stays local
New opportunities with 5G NR capabilities
Advanced capabilities in 3GPP Release 15 Study Items1
Optimizing LTE for the industrial IoT
Scalable from Gigabit LTE to LTE IoT
1. TR 22.821 Feasibility Study on LAN Support in 5G and TR 22.804 Study on Communication for Automation in Vertical Domainwww.qualcomm.com/invention/technologies/lte/private-lte-networkLearn more:
19. 19
Private 5GNR network
enables the next
Industrial Revolution
New capabilities
• URLLC — ultra-reliable, low-latency
• Time sensitive networking
Large cellular ecosystem
• Global solutions
• Certified interoperability
More spectrum
• Licensed, shared, unlicensed
• Low, mid, mmWave spectrum
Single network for the entire factory
• Multimode network supporting LTE & 5G NR
• Scalable to all connectivity needs
Cutting the cord
Wireless industrial ethernet
enables reconfigurable factories
Leveraging big data analytics
Edge analytics of massive real-time data
collection increases productivity
Enabling new use cases
Such as operators using
Augmented Reality (AR)
glasses
Enabling
smart
industry
20. 20
Showcases precise command-
and-control of high-demand
factory apps
Previews new use cases for
5G NR URLLC with
sub-millisecond latencies
Highlights factory automation use
case with 5G NR Private Networks
Enables wireline replacement and
reconfigurable factories: a key
concept of Industry 4.0
Industry-first demo
of wireless PROFINET
Industrial Ethernet
over 5G NR
MWC 2018
www.qualcomm.com/videos/5g-nr-industrial-iot
Watch video:
21. 21
Addressing the growing needs of low-power, wide-area IoT use cases
1. Maximum Coupling Loss, assuming data rate of 160bps; 2. Assuming 200B UL + 20B DL per day at 164 MCL with 5Wh battery; 3. Compared to IMT-Advanced
Power efficient
To realize10+ year device battery life2
and 100x network energy efficiency3
Long range
To reach challenging locations by
achieving device link budget of 164 dB1
massive
Internet of
Things
Scaling for the
Massive scale
To efficiently support dense
connections of 1+ million devices/km2
Extreme simplicity
To allow scaling to the lowest-end use
cases with e.g., single Rx antenna
22. 22
LTE IoT starts to connect the massive IoT today
Over 35 mobile operators committed to deploy Cat-M1 and/or Cat-NB1 networks
MDM9206
Flexible LTE IoT chipset platform for
Cat-M1 / Cat-NB1 / E-GPRS
…and many more
Cat-M1
(eMTC)
Higher throughput,
mobility, VoLTE
Cat-NB1
(NB-IoT)
Lower cost, larger
coverage, 2G migration
Object tracking
Wearables
Connected
health care
Smart buildings
Environment
monitoring
Utility
metering
City infrastructure
Voice
(VoLTE)
Energy
management
• Global dual-mode solution: single SKU
• Pre-certified modules commercially available today
• Multiple design wins across industry-leading OEMs
23. 23
Continued evolution to meet tomorrow’s massive IoT needs
Essential to 5G — LTE IoT to be submitted to meet IMT-2020
1
requirements
1. Defined in ITU Recommendation ITU-R M.2083-0, September, 2015; 2. Standardization in MulteFire Alliance
LTE Cat-1 and above
(Rel-8+)
FeMTC eFeMTC
eNB-IoT FeNB-IoTNB-IoT
VoLTE improvements
Higher data rates
Device positioning
Single-cell multicast
Early data transmission
Higher spectral efficiency
TDD support
eMTC/NB-IoT in unlicensed spectrum2
Wake-up radio
Non-orthogonal access
Grant-free uplink
Multi-hop mesh
5G NR IoT
In-band 5G NR
deployment
Continued eMTC evolution
Continued NB-IoT evolution
eMTC
Higher density
Deeper coverage
Lower power
Reduced complexity
Rel-16+Rel-15Rel-14Rel-13
www.qualcomm.com/lte-iot
Learn more:
24. 24
Pioneering tomorrow’s massive IoT technologies
Applies to LTE IoT and 5G NR IoT evolution — potential for 3GPP Rel-16+
Time
Frequency
1. Greater range and efficiency when using licensed spectrum, e.g. protected reference signals. Network time synchronization improves peer-to-peer efficiency
Non-orthogonal multiple access
Even higher connection density
• NOMA is part of 5G NR Rel-15 Study Item
• Can be either scheduled or grant-free
• Increases device density and network efficiency
Mesh networking
Multi-hop mesh with WAN management
• For low-power devices with challenging placements
• Especially uplink data relayed via nearby devices
• Expands on LTE Device-to-Device (D2D)
Grant-free uplink
Autonomous mode transmission
• Contention-based access for IoT devices
• For sporadic uplink of small data bursts
• Also key enabler of mission-critical communication
Mesh on unlicensed or partitioned
with uplink licensed spectrum1
Direct access on
licensed spectrum
25. 2525
5G NR IoT to fully leverage the LTE IoT evolution
Flexible framework designed to support future evolution
addressing even broader IoT use cases such as latency
sensitive applications
Enabled by in-band deployment of LTE IoT in 5G NR spectrum
1. Cat-M1 uses 6 Resource Blocks (RBs) with 12 tones per RB at 15 kHZ SCS; 2. Cat-NB1 uses 1 Resource Block (RB) with 12 tones with 12 tones per RB at 15 kHz SCS, single-tone option also available
In-band eMTC / NB-IoT support in Rel-16
5G NR 2n scaling of 15 kHz subcarrier spacing is natively
compatible with eMTC and NB-IoT numerologies
Agnostic to core networks
Both 5G NR deployment options — NSA with LTE EPC
and SA with 5G core — support eMTC and NB-IoT evolution
Advanced features coming in Rel-16+
Non-orthogonal access, grant-free uplink, and multi-hop mesh
will deliver even better performance and efficiency
eMBB
Scalable slot duration
eMTC
NB-IoT
1.4 MHz carrier — 6 RBs1 200 kHz carrier — 1 RB2
5G NR
URLLC
26. 2626
Enhanced range and reliability for direct
communication without network assistance
V2P
Vehicle-to-pedestrian
e.g., safety alerts to pedestrians, bicyclists
V2V
Vehicle-to-vehicle
e.g., collision avoidance safety systems
V2N
Vehicle-to-network
e.g., real-time traffic/routing, cloud services
V2I
Vehicle-to-infrastructure
e.g., traffic signal timing/priority
C-V2X Release 14
completed in 2017
Broad industry support — 5GAA
Global trials started in 2017
Our 1st announced C-V2X
product in September, 2017
C-V2X
Establishes the foundation for
safety use cases and a continued
5G NR C-V2X evolution for future
autonomous vehicles
Learn more at: https://www.qualcomm.com/c-v2x
27. 27
C-V2X enables network independent communication
1. PC5 operates on 5.9GHz; whereas, Uu operates on commercial cellular licensed spectrum 2. RSU stands for roadside unit.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
Network Uu interface
e.g. accident 2 kilometer ahead
Network communications
for complementary services
Vehicle to Network (V2N) operates in a mobile
operator's licensed spectrum
V2N
(Uu)
V2N
(Uu)
eNodeB
Direct PC5 interface
e.g. location, speed, local hazards
Direct safety communication
independent of cellular network
Low latency Vehicle to Vehicle (V2V), Vehicle to
Infrastructure (V2I), and Vehicle to Person (V2P)
operating in ITS bands (e.g. 5.9 GHz)
V2V
(PC5)
V2P
(PC5)
V2P
(PC5)
V2I
(PC5)
V2I
(PC5)
RSU
2
28. 28
C-V2X has a strong evolution path towards 5GNR
While maintaining backward capabilities
Basic safety
IEEE 802.11p
Basic and enhanced safety
C-V2X Rel-14/Rel-15 with enhanced range and reliability
Autonomous driving use cases
5G NR C-V2X Rel-16
Higher throughput
Higher reliability
Wideband ranging/positioning
Lower latency
Backward compatible with Rel-14/Rel-15 enabled vehicles
Evolution to 5G NR, while being backward compatible
C-V2X Rel-14 is necessary and operates with Rel-16
29. 29
5G NR C-V2X complements Rel-14 with new capabilities
Targeting new use cases for autonomous driving
Local high definition
maps / “Bird’s eye view”
Intention /
Trajectory sharing
High throughput
sensor sharing
Wideband ranging
and positioning
Do not pass
warning (DNPW)
Intersection movement
assist (IMA) at a blind
intersection
Blind curve /
Local hazard warning
Rel-14 C-V2X
Automotive safety
Rel-16 5G NR C-V2X
Autonomous driving
www.qualcomm.com/C-V2X
Learn more:
30. 3030
5G NR mmWave continuing to evolve beyond R15
Bringing new capabilities, new spectrum bands and
new deployment opportunities
Rel-15 Study Item on enabling easy/low-cost
deployment of small cells using mmWave
spectrum for access and backhaul
Rel-15 Study Item for both LAA and
standalone operation (aka 5G MulteFire™) in
sub-6 GHz and mmWave spectrum bands
Exploring the use of spectrum bands above
~40 GHz, including unlicensed spectrum in
the 57 GHz to 71 GHz band
Integrated Access
and Backhaul Unlicensed Spectrum Higher spectrum bands
Download the “Making 5G NR mmWave a commercial reality” presentation to learn more — link
31. 3131
5G NR mmWave IAB1 for cost-efficient dense deployments
Traditional fiber backhaul
can be expensive for
mmWave cell sites
Improves coverage and capacity, while limiting backhaul cost
1 Integrated Access & Backhaul
mmWave access inherently requires small cell deployment
Running fiber to each cell site may not be feasible and can be cost prohibitive
mmWave backhaul can have longer range compared to access
Sub-6 GHz
gNodeB
Fiber backhaul
Multi-hop
capability
Redundant
links
Efficient operation through dynamic resource
partitioning between access and backhaul
32. 32
2
4
5
6
8
9
2
5
10
18 18 18
10 Mbps 20 Mbps 25 Mbps 20 Mbps 40 Mbps 50 Mbps
*Assumptions: 28 GHz band, 1GHz b/w, 18 base-stations; 200m ISD; 600 devices, uniform distribution;
results obtained without any constraint on the number of hops
Number of fiber drops needed
Integrated Access Backhaul Fixed Access backhaul
Supports more flexible deployments
and reduces network cost
Fewer fiber drop points needed compared
to fixed backhaul for a given traffic demand
Dynamically adjusts to changes in fiber
drop locations and numbers
5G NR Integrated
Access & Backhaul
33. 33
5G is the foundation to what’s next.
We are the foundation to 5G.
Learn more at www.qualcomm.com / 5G
Driving the expansion
of 5G NR ecosystem
and opportunity
Making 5G NR
a commercial reality
for 2019 eMBB
deployments