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Machine Learning in Communications
Fundamentals of Artificial Intelligence
Artificial Intelligence: Past, Present and Future
The First 15 Years of Edge Computing and What’s Next
This is the decade of 6G development. We will discuss the fundamental differences 6G will likely mark compared to 5G, the key R&D opportunities in 6G, and the unique “lab to life” 6G deployment at Purdue University’s Innovation Campus in Indiana, USA. We will go through a roadmap toward an edgy, open, heterogeneous 6G, where applications will drive the evolution of architecture and optimization this decade.
Evolution of Edge Computing and Edge AI Towards 6G
Mobile edge computing (MEC) is a 5G/6G paradigm in communication and computing. The main feature of MEC is to push mobile computing, AI, control, and storage to the network edge (e.g., servers near base stations and access points) so as to enable intelligent, computation-intensive, and latency-critical applications at the resource-limited mobile devices. The promised gains of MEC have motivated extensive efforts by both the academia and industry on developing relevant technologies. In particular, MEC will provide a platform for realizing edge intelligence in 6G systems. In this session, several leading researchers from the industry will discuss the latest advancements in edge computing and edge AI in the areas and how relevant technologies will impact the ongoing 6G evolution. A lightweight Edge AI system for Enterprise Edge AI for Wireless: Opportunities and Challenges Machine learning in advanced wireless communication Network Edge Intelligence for emerging applications in 5G and beyond
AI-Enabled Communication Networks
With the recent deployment of commercial 5G systems, the technology evolution is moving towards more autonomous, self-configuring, intelligent networks and devices to support the new forthcoming data- and process-hungry applications of the next generation of the communication system. AI is considered a good fit for complicated non-convex optimization problems that are lacking optimal analytical solutions, and computation-intensive problems that are too costly to solve in real-time. Research works have provided promising results in applying AI in different use cases, ranging from physical- to application-layers, from edge- to core network-services and applications. Taking also into consideration the advances in big data computing technology, AI applied to the wireless domain has the potential to reshape the design and deployment of wireless networks and enable the formation of a self-adaptive, more power-aware, smart, and resilient communication ecosystem. In the proposed panel, we will explore and discuss the potentials and challenges of leveraging AI for the next generation of communication networks. Devices’ Role for AI-native 6G Networks, AI-driven Communication and Computation Co-design: the EU 6G Flagship Project Hexa-X Perspective AI-enabled Intelligent RAN Optimization AI/ML in 5G Evolution Toward 6G Strategic Standardisation for AI & Communications
Next-Generation Unlicensed Spectrum Technologies
Wi-Fi and cellular networks carry most of the wireless access traffic together and will continue to do so. So far, the cellular network is mainly for wide-area coverage and mobility, while Wi-Fi is mainly for indoor use thanks to its much lower deployment costs. This divide-and-conquer approach succeeds because the combination of licensed spectrum for cellular networks and unlicensed spectrum for Wi-Fi enables different models of spectrum use, different business models and different wireless infrastructure owners. However, the traditional boundaries that differentiated earlier generations of cellular and Wi-Fi are blurring, with 5G NR-U supporting specific enterprise requirements. This is not just about the number of connections, but also for the range of use cases that will grow and in directions beyond those we can envisage today. What will happen for the Next-Generation Unlicensed Spectrum Technologies? This session will gather experts actively participating in the field of unlicensed spectrum of Wi-Fi and cellular networks. New use cases of unlicensed spectrum technologies will be discussed, from traditional telecoms to emerging vertical applications. Topics in scope of this session will also include new technologies for Wi-Fi 7&8, 5G and beyond, such as innovative access schemes and co-existence schemes, as well as the regulation aspects regarding the introduction of unlicensed spectrum into cellular networks. The session will also explore the possible future deployment and business models of the two technologies, especially in the vertical industry scenarios, as well as the complementary/harmonization between the two technologies. We expect a lively exchange of views, since the relationship between the two unlicensed spectrum technologies is a bit diverse. It is hoped that new research and development activities will be stimulated by such discussions that will help define future technology evolution and business models. From 5G NR-U to SL-U and beyond in 3GPP How does unlicensed spectrum with NR-U transform what 5G can do for you Next Generation Wi-Fi 7 and Beyond The role of unlicensed spectrum in 5G and beyond
Intelligent Autonomous Vehicles
Intelligent and autonomous driving has been emerging as one of the most prominent advances in the industry of vehicles. Road vehicles including passenger cars and trucks as well as aerial vehicles like drones are expected to be capable of sensing their environment and moving safely with little or no human input, thereby making people’s daily lives safer, more efficient, and more convenient. Connectivity is considered as a key component in enabling such an advance, and 5G has been designed from its beginning as a communication tool for intelligent and autonomous vehicles. 5G’s high data rate is suitable to deliver rich map and sensor information to the vehicles in order to enhance environment sensing. Support of ultra reliability and low latency communications (URLLC) in 5G allows the vehicles to send and receive critical information that should be delivered with a very short latency and almost zero error for the safe decision of vehicles’ maneuver and reaction to an emerging risk. There are a lot of efforts to launch successful commercialization of 5G-based intelligent/autonomous vehicles, and in parallel with it, evolution is ongoing towards Beyond-5G in the standardization organizations and academia to find out technical solutions that can address the industry requirements better.
Redefining Networks of the Future
After the pandemic, our lifestyles have undergone rapid transformation. Our homes have become the new schools, new workplaces, and new gyms. They have even become the new movie theaters and new restaurants. The core enabler of this paradigm shift is the connectivity. Previously connectivity has been mostly delivered via PC over wireline. Now wireless connectivity via smartphones is driving an explosion in data traffic. More technology, more bandwidth and more sites have been the keys to managing this explosion in mobile data traffic. However, this solution is also directly driving up costs – so what is the answer for a sustainable future of networks? Samsung believes one answer to this is RAN Virtualization(vRAN), the digital transformation of networks. With vRAN, new services will have more flexibility and scalability. In this presentation, we will be sharing Samsung’s vision for redefining and growing the networks of the future, and the technological advances that enable it.
Future Evolution of Wireless Network for AI
5G communication system is a service-based architecture, providing a modular framework for meeting stringent latency and reliability requirements. Barely introducing AI technology in wireless network to solve a certain network optimization problem does not enable network self-optimization. Future communication is not only considered to apply AI to enhance the certain function, e.g., network energy saving, mobility management, load balancing, (which is being discussed in the 3GPP), but also is designed to integrate AI into every aspect of wireless communication system to depict vision of the intrinsic AI. Therefore, to bring autonomous learning, autonomous decision-making, self-optimization and self-evolution, in the furture, AI-Native radio network will be an intelligent loop, in which is intelligent data perception, intelligent modeling, AI-assisted architecture, and intelligent monitor.
6G Vision, Technologies, and Roadmap
While the mobile industry is now focusing on the realization of what 5G technologies promised, we can see that initial consideration about the next generation of mobile communications, i.e., 6G, is already happening. Considering the general trend of introducing new services with higher requirements over different generations of communication systems, it would be natural to expect that 6G technologies need to be developed to envision more advanced services than 5G. Examples of such new services include truly immersive XR, mobile hologram, and digital replica. Initial investigation already suggests rough estimates of performance requirements for 6G such as 1 Tbps peak rate, 1 Gbps user-experienced data rate, and 0.1 ms air latency. Use of terahertz spectrum would naturally be considered to provide such high data rate. Novel approaches, e.g., reconfigurable intelligent surfaces, further advanced duplex technologies, use of AI/ML, would need to be considered to satisfy the expected performance requirements. The proposed panel will be a good opportunity to exchange initial views about vision, technologies, and roadmap for 6G.
5G-Advanced - Technologies, Timeline, and Relation to 6G
3GPP has named Release-18 as the starting point of 5G-Advanced, an intermediate step between current commercial 5G networks and future 6G networks. As such, it is expected that 5G-Advanced will introduce many technologies later being part of 6G. Some examples being mentioned as potential candidate for 5G-Advanced are AI/ML-based radio access and simultaneous transmission/reception on the same frequency (“full-duplex operation”). The content of 5G-Advanced is not yet decided upon although it is expected that 3GPP will have taken some decisions by the spring of 2022, making this panel a timely and highly relevant discussion for anyone interested in the evolution of 5G technologies towards 6G.
6G Vision and Enablers
While the mobile industry is now focusing on the realization of what 5G technologies promised, we can see that initial consideration about the next generation of mobile communications, i.e., 6G, is already happening. Considering the general trend of introducing new services with higher requirements over different generations of communication systems, it would be natural to expect that 6G technologies need to be developed to envision more advanced services than 5G. Examples of such new services include truly immersive XR, mobile hologram, and digital replica. Initial investigation already suggests rough estimates of performance requirements for 6G such as 1 Tbps peak rate, 1 Gbps user-experienced data rate, and 0.1 ms air latency. Use of terahertz spectrum would naturally be considered to provide such high data rate. Novel approaches, e.g., reconfigurable intelligent surfaces, further advanced duplex technologies, use of AI/ML, would need to be considered to satisfy the expected performance requirements. In this proposed industry presentation session, industry experts will present their views on 6G vision and enablers. Technologies for Hyper Connected Experience for All in 6G, On the Path to 6G : Industry Alignment and Collaboration is key to bring it to life Technology Advancements on the Path to 6G The road to the next generation wireless network
Unlocking the Theoretical Limits of Communications and Computing
We are arriving at the end of an era that has guided the ICT for the last century. Quite remarkably, many of the remarkable engineering breakthroughs in Communication (the famous “G” era) and Computing (the famous “Moore’s” era) were based on quite old Basics. Indeed, the Nyquist Sampling theorem dates back to 1924, the Shannon’s Law to 1948 and the Von Neumann Architecture to 1946. Today, we are desperately lacking guidance for new engineering solutions as we have approached those limits and there is a need for the whole industry to take its share of responsibility by re-investing massively in the fundamentals to revive a new century of engineering progress. In this talk, we will re-discuss the assumptions made a century ago and provide a research roadmap showcasing the fundamental role of Mathematics and Physics to unlock the theoretical barriers.
5G-Enabled Smart Manufacturing
5G has from its early standardization been scoped to address new industrial use cases including smart manufacturing. To this end the communication requirements for industrial use cases have been analyzed and novel capabilities for 5G have been specified. Some of the new capabilities of 5G for smart manufacturing and the industrial internet of things (IIoT) are ultra-reliable and low latency communication (URLLC), support for 5G non-public (campus) networks, support of Ethernet and Time-Sensitive Networking, inbuilt positioning and time synchronization. 5G for manufacturing is being investigated in several collaborative research activities. In the 5G Alliance for Connected Industries and Automation (5G-ACIA), more than 80 members from the operational technology (OT) and the information and communication technology (ICT) industries have gathered to form a global forum to shape 5G for the industrial domain. 5G-ACIA has investigated industrial use cases, such as factory and process automation, advanced robotics, and defined requirements on the 5G system that have been fed into the 5G standardization process. Validation of 5G for such use cases is ongoing in 5G-ACIA endorsed testbeds. The panel will provide an overview of the Smart Manufacturing use cases and requirements, the capabilities of 5G for IIoT and its evolution and learnings from early testbeds.
Human. Machine. Experience Together: AI Agent 2.0 Revolution in the Metaverse Era
Self-Describing Digital Assets and tTeir Use Within Enterprise Edge AI Solutions
A self-describing digital asset carries its meta-data along with it. When building distributed enterprise AI solutions, having a catalog of self-describing assets can be very valuable. In this talk, we would describe an open-source community effort to create a catalog of such assets, and discuss the various use-cases that such a catalog can enable. We would also provide an overview of the Enterprise Neuro-System Group which is supporting the creation of this technology in its quest to enable enterprise AI Solutions.
The Progress of 6G: A Check Point
The wireless research community has launched the 6G research effort and many large scale research programs have been established globally, with an unprecedented investment into early stage of 6G technologies. Several progress in the 6G have been made in identify the use-cases, the technology trends and developing the enabling wireless technologies. The research community in both academia and industries have shared common views in the six key areas such as the native AI, integrated sensing and communication, integrated terrestrial and non-terrestrial networks, trustworthiness and carbon-net-zero. However, from a vison concept to the technical practically, there are still gaps for the enabling technologies in the engineering feasibility aspects and how 6G technologies will enable the ICT markets in the time frame of 2030-2050. In this talk, we share our perspectives and the route to drive the 6G technologies into a reality.
HCS: Harmonized Communication and Sensing
Wireless communications are paving the way from a communication pipe to harmonized communication and sensing (HCS)which could provide high-resolution sensing, high-accuracy localization, human imaging, and environment reconstruction capabilities. The sensing can not only open the door to deliver intelligent services to users but also provide an efficient method to improve network performance. Recently HCS technology is discussed in 5G-Advanced system, IEEE 802.11bf, 6G white papers, and a series of publications. Such widely research will definitely accelerate the HCS to the way of industrial commercialization in next years. In this panel, we will investigate the research progress of HCS focusing on the fundamental issues including use case, challenges, key techniques, and industrial progress in standard and testbeds. The panel is expected to provide common views on future directions. Positioning towards 6G: potential and challenges Harmonized communication and sensing for 5G Advanced system High-accuracy joint communication and sensing at mm-wave frequencies Wi-Fi Sensing: Standardization and Opportunities