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Introduction to Pytorch for Deep Learning
Machine Learning in Communications
Deep Learning/Machine Learning in 6G Network Optimization
Practical Attestation on Edge and IoT Devices
Federated Learning: Are Wireless Networks Ready for it?
Confidential Computing: Fully Homomorphic Encryption Approach
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
6G Green Communications
With the increasing impact of climate change globally, many nations have announced carbon neutrality goals by mid 21st century. As a leading industrial sector and a key driven force for social and economic progression/transformation, the ICT industry shall be a key contributor for global carbon neutrality and sustainable growth. In 4G and 5G, there have been efforts in making communications system more energy efficient such as minimizing always-on signaling, enable power saving mode, etc. But still, with the exponential growth of data volume, increasing complexity of communication systems, emergence of new services, we see a steady increase in power consumption over generations. As the industry started working on designing the B5G and 6G communications systems, sustainability and energy efficiency need to be considered as one of the foremost goals in system design. This session will gather experts to discuss green communications for B5G/6G. The discussion intents to address two main questions: 1) how to make the communication system itself more energy efficient and sustainable; 2) how can communication system better help the society and other industrials for achieving the global carbon neutrality goal. The session will discuss gaps, challenges and new air interface and network features needed in B5G/6G system to address these two questions. We expect a lively exchange of views as green communication is a very challenging and very important topic. It is hoped that new research and development activities will be stimulated by such discussions.
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.
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.
Machine Learning-Aided Channel Coding: Opportunities and Challenges
Today, channel codes are among the fundamental parts of any communication system, including cellular, WiFi, and deep space, among others, enabling reliable communications in the presence of noise. Decades of research have led to breakthrough inventions of various families of channel codes. Yet no unified approach exists in answering these two fundamental questions: Given a channel, how do we efficiently construct the best possible code? And given a channel code, how do we design an efficient and optimal decoder? In this talk, we will discuss how the remarkable advancements in data-driven machine learning (ML) can be leveraged toward answering these questions. In particular, we will focus on a class of codes rooting in Plotkin recursive construction. This class includes Reed–Muller (RM) codes as the state-of-the art binary algebraic codes, as well as polar codes, the first capacity-achieving codes with explicit, i.e., non-randomized, constructions. In the first part of this talk, we will present an efficient and close-to-optimal decoder obtained for RM codes by learning a pruning process applied to an exponentially complex decoder. In the second part, we will tackle the fundamental problem of designing new channel codes. In particular, we will demonstrate KO codes, a new class of channel codes designed by training neural networks while preserving Plotkin-like structures. KO codes beat both of their RM and polar code counterparts, under the successive cancellation decoding, in the challenging short-to-medium blocklength regime. We will also discuss various challenges that should be overcome to pave the way for adopting such ML-aided channel coding strategies in practice.
Distributed Learning and Inference Over Wireless Channels
Machine Learning Based Security for Iov: Opportunities and Challenges
Smart City
With the long term business development of smart city project all around the world, both academia and industry are exploring actively into key technologies and business models for the advancement of smart city development. Green sustainability has been envisioned for many smart city project to transform the energy supply and consumption in more renewable and circular ways for better environment. The data economy of smart city, in which the data market place to be formed to share smart city data to generate the intelligence to operate the city in smarter ways, needs significant infrastructure investment to open up a new area of business with enhanced trust values through various technology solutions and partnerships across various smart city industry stakeholders. Smart city innovation and development has a huge potential to revolutionize the quality of life of our society and transform our urban city ecosystem to be more sustainable thanks to the various open opportunities of smart city technology businesses. 4D Imaging Radar as a Building Block to Smart Cities Data Hub Application of Sihueng Smart City Project Planting the SEED: Deploying the Foundation for Global Interconnectivity The future of Smart City Construction and Development with 3D Construction Printing