The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
This is presentation by Keysight technologies on 5G NR Dynamic Spectrum Sharing. Very well articulated presentation as always by Keysight. Details on the 3GPP support for NR DSS implementation in LTE bands in Rel 15 and Rel 16.
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 ***
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 ***
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 quick look at 5G System architecture in Reference point representation and in Service Based representation and also look at the different Network Functions (NFs) within the 5G System.
This is presentation by Keysight technologies on 5G NR Dynamic Spectrum Sharing. Very well articulated presentation as always by Keysight. Details on the 3GPP support for NR DSS implementation in LTE bands in Rel 15 and Rel 16.
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 ***
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 ***
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 quick look at 5G System architecture in Reference point representation and in Service Based representation and also look at the different Network Functions (NFs) within the 5G System.
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
Determine the required delivery characteristics of a packet stream and how a Traffic Management (TM) module can offload compute-intensive tasks. Hear more about the latest innovations in both DPI & TM solutions.
LTE Measurement: How to test a device
This course provides an overview with practical examples and exercises on how to test a LTE-capable device while performing standardized RF measurements such as power, signal quality, spectrum and receier sensitivity, and how to automate these measurements in a simple and cost-effective way. We will present testing of LTE handsets in terms of protocol signaling scenarios and handover to other radio technologies for interoperability. This course will demonstrate end-to-end (E2E), throughput and application testing using the Rohde & Schwarz R&S®CMW500 Wideband Radio Communication Tester. Examles of application tests are voice over LTE, (VoLTE) or Video over LTE.
Segment routing is a technology that is gaining popularity as a way to simplify MPLS networks. It has the benefits of interfacing with software-defined networks and allows for source-based routing. It does this without keeping state in the core of the network and needless to use LDP and RSVP-TE.
5G Interview Questions: 50 Questions on Spectrum3G4G
These slides are for information purposes only. The questions asked in this has been covered in other tutorials and opinion videos. The latest PDF version of this document can be downloaded from here: https://www.3g4g.co.uk/5G/5Gtech_Interview0001_Spectrum.pdf
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/
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.
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
Determine the required delivery characteristics of a packet stream and how a Traffic Management (TM) module can offload compute-intensive tasks. Hear more about the latest innovations in both DPI & TM solutions.
LTE Measurement: How to test a device
This course provides an overview with practical examples and exercises on how to test a LTE-capable device while performing standardized RF measurements such as power, signal quality, spectrum and receier sensitivity, and how to automate these measurements in a simple and cost-effective way. We will present testing of LTE handsets in terms of protocol signaling scenarios and handover to other radio technologies for interoperability. This course will demonstrate end-to-end (E2E), throughput and application testing using the Rohde & Schwarz R&S®CMW500 Wideband Radio Communication Tester. Examles of application tests are voice over LTE, (VoLTE) or Video over LTE.
Segment routing is a technology that is gaining popularity as a way to simplify MPLS networks. It has the benefits of interfacing with software-defined networks and allows for source-based routing. It does this without keeping state in the core of the network and needless to use LDP and RSVP-TE.
5G Interview Questions: 50 Questions on Spectrum3G4G
These slides are for information purposes only. The questions asked in this has been covered in other tutorials and opinion videos. The latest PDF version of this document can be downloaded from here: https://www.3g4g.co.uk/5G/5Gtech_Interview0001_Spectrum.pdf
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/
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.
Multicarrier modulation can be implemented by using Orthogonal Frequency Division Multiplexing (OFDM) to achieve utmost bandwidth exploitation and soaring alleviation attributes profile besides multipath fading. To support delay sensitive and band bandwidth demanding multimedia applications and internet services, MIMO in addition with other techniques can be used to achieve high capacity and reliability. To obtain high spatial rate by transmitting data on several antennas by using MIMO with OFDM results in reducing error recovery features and the equalization complexities arise by sending data on varying frequency levels. Three parameters frequency OFDM, Spatial (MIMO) and time (STC) can be used to achieve diversity in MIMO-OFDM. This technique is dynamic and well-known for services of wireless broadband access. MIMO if used with OFDM is highly beneficial for each scheme and provides high throughput. There are several space time block codes to exploit MIMO OFDM; one of the techniques is called Alamouti Codes. The paper investigates adaptive Alamouti Codes and their application in IEEE 802.11n.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet error rate, and bit error. Suitability of using CSS for
sensor networks for future deployments is commended.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet error rate, and bit error. Suitability of using CSS for
sensor networks for future deployments is commended.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet error rate, and bit error. Suitability of using CSS for
sensor networks for future deployments is commended.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet er
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.
LTE Advanced is the next major milestone in the evolution of LTE and is a crucial solution for addressing the anticipated 1000x increase in mobile data. It incorporates multiple dimensions of enhancements including the aggregation of carriers, advanced antenna techniques. But most of the gain comes from optimizing HetNets, resulting in better performance from small cells. Qualcomm Technologies has prototyped and demonstrated the benefits of LTE Advanced HetNets at many global events. The first step of LTE Advanced—Carrier Aggregation, was commercially launched in June 2013. It was powered by Qualcomm Technologies' third generation Gobi LTE modems, integrated into Snapdragon 800 solutions.
For more information please visit www.qualcomm.com/lte-advanced
Download the presentation here: http://www.qualcomm.com/media/documents/lte-advanced-global-4g-solution
Similar to How Can CoMP Extend 5G NR to High Capacity & Ultra-Reliable Communications? (20)
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
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
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- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
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- How to streamline operations with automated policy checks on container images
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Autopilot per Studio
Autopilot per Apps
Clipboard AI
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The Art of the Pitch: WordPress Relationships and Sales
How Can CoMP Extend 5G NR to High Capacity & Ultra-Reliable Communications?
1. How can CoMP extend
5G NR to high capacity and
ultra-reliable communications?
Dr. Durga Malladi
SVP, Engineering & GM, 4G/5G
Qualcomm Technologies, Inc.
@qualcommJuly 11, 2018 Webinar
2. 22
Precision
agriculture
Reliable access
to remote healthcare
Safer, autonomous
transportation
Enabler to the factory
of the future
>$12 Trillion
Powering the digital economy
In goods and services by 2035
*
5G will expand the mobile
ecosystem to new industries
* The 5G Economy, an independent study from IHS Markit, Penn Schoen Berland and Berkeley Research Group, commissioned by Qualcomm
Efficient use of
energy and utilities
Digitized logistics
and retail
Private networks for logistics,
enterprises, industrial,…
Sustainable smart cities
and infrastructure
3. 33
Diverse services Diverse deployments
Mid-bands
1 GHz to 6 GHz
High-bands
Above 24 GHz (mmWave)
Low-bands
Below 1 GHz
Massive Internet
of Things
Diverse spectrum
NR Designing a unified, more capable 5G air interface
Existing, emerging, and unforeseen services – a platform for future innovation
Mission-critical
services
Enhanced mobile
broadband
5G
NR
Licensed/shared/unlicensed
4. 4
Driving the 5G roadmap and ecosystem expansion
20182017 20202019 20222021
Rel-17+ evolutionRel-16Rel-15
Rel-16
Commercial launches
Rel -15
Commercial launchesNR
Field trialsIoDTs
Standalone (SA)
Continue to evolve LTE in parallel as essential part of the 5G Platform
Non-Standalone (NSA)
We are here
eMBB deployments and establish
foundation for future 5G innovations
New 5G NR technologies to evolve
and expand the 5G ecosystem
5. 5
Driving a rich 5G roadmap in Release 16 and beyond
5G Industrial IoT
with URLLC
5G NR integrated
access and backhaul
5G NR in
unlicensed/shared spectrum
5G massive
IoT
5G broadcast3GPP Rel-15
design provides the
foundation for R16+
Sub-6 GHz | mmWave
5G NR
C-V2X
7. 7
5G expansion into new use cases & verticals
Reliability from spatial diversity
Spatial diversity can overcome radio shadowing
in challenging radio environments
Key technology to provide ultra reliability for
challenging industrial IoT applications
Capacity from spatial multiplexing
Allows multiple transmissions at the same time to
multiple location without interfering
Can also be used to by multiple operators to share
spectrum more efficiently
8. 8
Theoretical tradeoff between multiplexing and diversity
Multiple transmit and receive antennas with uncorrelated signal paths create spatial dimensions
1. L. Zheng and D. N. C. Tse, “Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels,” IEEE Trans. Inform. Theory, vol. 49, May 2003.
(0,mn)
(0,32)
(1,(m-1)(n-1))
(1,21)
(2,(m-2)(n-2))
(2,12)
(r,(m-r)(n-r))
(3,5)
(min{m,n},0)
(4,0)
Spatial multiplexing gain: r = R / log SNR
Spatialdiversitygain:d(r)
m : # transmit antennas
n : # receive antennas
Example with m=8 and n=4
Errorrate(log)
SNR (log)
diversity order
1
2
3
4
1
2
3
4
SNR (log)
# multiplexed
data streams
Capacity
Using spatial dimensions
to multiplex multiple data
streams increases capacity
Using spatial dimensions
for diversity reduces the
error rate
There is a tradeoff between
spatial multiplexing gain
and spatial diversity gain1
9. 9
Exploiting spatial domain—from LTE MIMO to 5G CoMP
1) Multiple-input multiple-output (MIMO); 2) Coordinated Multi-Point (CoMP)
2 Gbps peak-rates with 4x4
MIMO1, carrier aggregation and
higher order modulation
Example: 2 or 4 antennas for
transmit and receive
Multi-user MIMO and 3D
beamforming for better capacity
and cell edge performance,
Example: 128 or 256 antenna
elements for macro deployments
Leveraging CoMP2 diversity and
multiplexing to extend 5G to
new use cases and verticals
Example: Multiple small-cells
with 4 antennas
LTE MIMO 5G Massive MIMO 5G CoMP
10. 10
CoMP is an extension of MIMO
Massive MIMO
Utilizes a large number of antennas to create
multiple spatial dimension from multi-path propagation
to increase capacity and coverage and cell edge.
Example: Macro deployment
Utilizes a large number of distributed antennas
to create multiple spatial dimensions for increased
capacity and/or spatial diversity for reliability
Example: Small-cell deployment
CoMP aka Distributed MIMO
CoMP server
11. 11
5G CoMP—different flavors
1) For example maximize the minimum signal to noise plus interference ratio; 2) This is referring to downlink. For uplink Joint Reception (JR) can be used.
Coord. Sched./Beamforming
• Data via one base station
• Coordinated beamforming between
base stations to improve overall
signal quality1
• Coordinated scheduling to
maximize resource utilization
2
1
2
1
t0
t0
t1
t1
2
1
Data user 1Data user 2
Dynamic Point Selection
• Data via multiple base stations2
• Transmission from a single base
station at each time instance
• Which base station is transmitting
is dynamically changing on a
subframe basis
Joint Transmission (JT)
• Data via multiple base stations2
• Multiple base stations transmit
same data with beamforming
• Coherent JT enables nulling;
requires channel knowledge and
antenna calibration
Data user 1 & 2Data user 1 & 2 Data user 1 & 2Data user 1 & 2
13. 1313
Signal strength measurement when an
obstruction is introduced 3 feet from device
Time
Factories have
challenging RF
environments
Blockage and reflections by fast moving metal
objects such as AGV
1
, cranes and conveyor belts
Blockage can cause sudden drop in signal strength
Reflections can lead to rapidly varying
interference from far-away cells
Collecting RF measurements to establish
a propagation model for factory environments
1. Automated Guided Vehicle (AGV)
11dB drop
14. 14
Time diversity
• Example: Hybrid ARQ
• Gains limited by latency
Frequency diversity
• Wider bandwidth / many channels
• Not effective against blockage
Radio diversity
• Multi-connectivity: NR, LTE, Wi-Fi
• Not effective against blockage
Spatial diversity
• MIMO or CoMP with multiple
antennas
• CoMP effective against RF
blockage
Diversity
schemes
CoMP spatial diversity key for reliability
CoMP server
RF blockage can cause
sudden drop in signal strength
16. 1717
Key Industrial IoT functionality targeted for 3GPP rel.16
To support new applications such as wireline replacement
of industrial Ethernet for the reconfigurable factory of the future
Ultra Reliable, Low Latency
Communication (URLLC)
Time Sensitive Networks
(TSN)
Enhanced latency
and reliability
Spectrum
5G NR in licensed, shared
or unlicensed spectrum
Handling of Ethernet
switch functions
Enhanced Quality
of Service (QoS)
Microsecond time
synchronization
real-time
best
effort
1) Transmission and Reception Point (TRP)
CoMP multi-TRP1
transmissions
20. 21
CoMP combines
antennas from multiple
small-cells to create more
spatial dimensions
Additional spatial
dimensions allows
simultaneous
transmission to multiple
users in the same
geographical area while
minimizing interference
5G CoMP
increases
system capacity
from spatial
multiplexing
Time
User 1
User 2
User 4
User 3
User 2
User 3
User 4
User 1
User 2
User 3
User 4
User 1
User 2
User 3
User 4
User 1
User 2
User 3
User 4
User 1
21. 22
• Live
5G CoMP capacity gains have many applications
1) 3GPP TR 22.804 v16.0.0 “Study on Communication for Automation in Vertical Domains”
Increased mobile broadband
capacity such as small-cell
deployments in venues and
private 5G networks
Efficient spectrum sharing with
multiple operators using the
same spectrum in the same
area simultaneously
Tradeoff some capacity gains
against higher reliability such
as 99.9999% for industrial IoT
motion control1
Mobile broadband Spectrum sharing URLLC
22. 23
5G NR in Shared Spectrum (NR-SS)
Targeting green-field bands such as 5.9-7.1 GHz and 66-71 GHz bands
Flexible NR framework
Guaranteed QoS
Time synch. and coordination
Vertical & horizontal sharing
5G
• Flexible framework with forward compatibility
• Fast turn-around and self-contained operation
• Time synchronization for more efficient sharing
• Coordinated sharing to improve QoS
• Native support for different priority levels (vertical sharing)
• Flexible framework to support various spectrum landscapes
• Guaranteed bandwidth for each operator
• Opportunistic sharing of unused bandwidth
Exploit spatial domain
• CoMP with spatial sharing to increase capacity
• Spatial Listen Before Talk (LBT) and on-demand LBT
Exploit spatial domain
• CoMP with spatial sharing to increase capacity
• Spatial Listen Before Talk (LBT) and on-demand LBT
24. 2525
5G CoMP testbed
small-cell
small-cell
CoMP server
small-cell
small-cell
mobile phones
Setup
• 100 MHz bandwidth
• 3.5 GHz band
4 small-cells
• Two X-pol antennas
• 4x4 MIMO capable
4 mobile phones
• Two omni antennas
• 2x2 MIMO capable
CoMP server
• High perf. compute
• Beamforming
27. 28
CoMP with spatial sharing with five feet
separation between the phones
How close can the
phones be and
still be spatially
separated? User 1
User 2 User 3
User 4
28. 30
System throughput barely changes
when all four phones are literally
stacked on each other
Answer:
Very close!
User 1
User 2
User 3
User 4
29. 31
LTE MIMO → 5G CoMP
Continue to exploit the spatial domain to
extend 5G to new use cases and verticals
Driving the expansion of 5G NR
ecosystem and opportunity
Learn more at www.qualcomm.com / 5G
Making 5G NR a commercial reality
for 2019 eMBB deployments
5G CoMP for reliability
Using CoMP spatial diversity to provide ultra
reliable connectivity for Industrial IoT applications
5G CoMP for capacity
Using CoMP spatial multiplexing increases
system capacity; 4X gains shown in OTA testbed.
99.9999% reliability
5G NR