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Barely seen in action movies until a decade ago, the progressive blending of UAVs into our daily lives will greatly impact labor and leisure activities alike. Most stakeholders regard reliable connectivity as a must-have for the UAV ecosystem to thrive, and the wireless research community has been rolling up its sleeves to drive a native and long-lasting support for UAVs in 5G and beyond. Moving up, the recent introduction of more affordable insertions into the low orbit is luring new players to the space race, making a marriage between the satellite and cellular industries more likely than ever. In this talk, we will navigate from 5G to 6G use cases, requirements, and enablers involving aerial and spaceborne communications, also acting as a catalyst for much-needed new research.
Exploiting the frequency ranges above 6 GHz has become a hallmark of modern wireless systems. The use of 20-100 GHz spectrum was a key characteristic of 5G systems, and the 100-500 GHz frequency range will be an important component in 6G. This talk will first discuss the characteristics of wireless propagation channels in those frequency bands, reviewing the fundamentals, and then discussing our recent measurement results in outdoor environments, including ones in the larger than 100 GHz frequency range that show feasibility of high-rate data links at distances up to 100 m in both line-of-sight and many non-line-of-sight situations; yet at the same time these measurements also indicate that many common assumptions about such high-frequency channels, e.g., with respect to sparsity, might not hold under all circumstances. Based on the discussions of the channels, the talk will then investigate single- and multi-user capacity, signaling methods and transceiver structures that are especially suitable for ultra-high data rates at these high frequency bands.
5G rollouts have stimulated new demand that cannot be met by 5G itself. That's where 5G-Advanced comes into play, delivering enhanced capabilities. Without a doubt, 5G-Advanced will further stimulate more new demands that only 6G can address. Looking into these new demands will be crucial to defining 6G. ITU-R is leading the consortium effort to study future technology trend (FTT) and 6G vision, aiming to issue the FTT report and vision recommendation by the end of 2022 and in the middle of 2023, respectively. 6G will go far beyond communications. 6G will serve as a distributed neural network that provides communication links to fuse the physical, cyber, and biological worlds, truly ushering in an era in which everything will be sensed, connected, and intelligent. In addition to connected people and things, we predict that 6G will be the platform for connected intelligence, where the mobile network connects vast amounts of intelligent devices and connects them intelligently. This talk will first start with 5G-advanced as an introduction, then present an overall vision for 6G with drivers, use cases, KPIs, roadmap and key capabilities. Six key capabilities: (1) Extreme connectivity, (2) Native AI, (3) Networked sensing, (4) Integrated Non-terrestrial network, (5) Native trustworthiness and (6) Sustainability, will be further discussed, including potential technologies/research directions and associated challenges.
Research activities in academia and industry worldwide towards the 6th generation (6G) mobile communication system have recently considerably gained momentum. In this overview we will highlight the anticipated 6G timeline and technology concepts which have to fulfil even more stringent requirements in comparison to 5G, such as ultra-high data rates, energy efficiency, global coverage and connectivity as well as extremely high reliability and low latency. One of the 6G technologies are sub-Terahertz and terahertz (THz) waves which have frequencies extending from 0.1 THz up to 10 THz and fall in the spectral region between microwave and optical waves. The prospect of offering large contiguous frequency bands to meet the demand for highest data transfer rates up to the terabit/sec range make it a key research area of 6G mobile communication. These efforts require an interdisciplinary approach, with close interaction of high-frequency semiconductor technology for RF electronics but also including alternative approaches using photonic technologies. The THz region also shows great promise for many applications areas ranging from imaging to spectroscopy and sensing. To fully exploit the potential of this frequency range it is also crucial to understand the propagation characteristics for the development of the future communication standards by performing channel measurements. We will highlight the characteristics of channel propagation in this frequency region and present new results from channel measurements at 158 GHz and 300 GHz.
Sitting at the intersection of wireless communication and ML, the talk will focus on two important aspects of wireless edge AI. First, we will discuss and demonstrate the application of ML in wireless communication for understanding, orchestrating, securing and maximizing the use of spectrum resources through learning. ML techniques can provide significant leaps in performance and efficiency of key L1 functions surrounding channel sensing, channel modeling, modulation and receiver design, and spatial re-use, as well as improving access and coordination schemes. We will explore how some of these ideas are advancing the 5G RAN today and how they can evolve to enable 6G.Second, we describe the role of Distributed Edge AI in the wireless environment. Owing to the distributed nature of data arising from sensors, base stations, and so forth, the goal in edge AI is to train privacy-preserving machine learning models under resource constraints. We provide an overview of recent techniques such as federated learning, distillation and split learning. We will also explore how to harness over-the-air computing and analog communication to provide scalable and privacy-preserving over-the-air model training. The talk will conclude by shedding light onto the next frontier of edge AI sitting at the confluence of semantic communication and ML.
The additive nature of today’s technology megatrends including 5G, AI, IOT, Edge Computing and the Cloud is fueling the need for computing and communications to converge into one intelligent, resilient and distributed networking fabric. In order to deliver broad economic and societal benefits, the industry continues to commercialize and evolve 5G - addressing the technical and use case needs of consumer, enterprise and industry verticals. Asha Keddy, Intel Corporate VP and GM of Next Generation & Standards, will present the latest 5G achievements; illuminate the continuing work to evolve 5G; and speak to the opportunities for industry to further explore the potential of 5G. Ms. Keddy will also speak to the fundamental importance of integrating computing and communications for wireless networks and share her thoughts on what comes beyond 5G - highlighting early candidate technology development areas as well as the industry, academic and government collaborations that are already underway.
The use of MIMO and Massive MIMO is considered one the most disruptive and effective technologies introduced in recent years. For beyond 5G networks, the use of cell-free MIMO is being considered, which essentially means distributing the access points (AP) and doing the processing either locally or centrally. While many studies have considered spectral efficiency gains of various central or local processing methods, few publications consider the impact of the 5G architecture, and the NG-RAN, on the cell-free networking opportunities and challenges. The O-RAN alliance, initiated by some large operators and players in the telecom domain, aims to transform the radio access networks towards truly virtualized, distributed, and most importantly open systems. In an ideal world, multiple distributed O-RAN entities cooperate seamlessly to bring the best possible connectivity to each UE, cooperating through the O-RAN APIs. The key challenge that remains is how to merge cell-free networking, and distributed processing, with those existing network architectures. To exploit those distributed O-RAN entities optimally, and meet diverse requirements of future communication systems, beyond 5G intelligent networks will provide enhanced flexibility through the dynamic scheduling of the available resources. Given the densification of networks, and the introduction of cell-free architectures, the availability of radio access resources is unseen, and is only limited by the potential of the resource allocation methods. A major challenge is how to achieve this within standard and open architectures, such as for instance the O-RAN ALLIANCE. We will give a brief overview of the main academic trends in cell-free communication and radio resource management. We then describe how they will be mapped to NG-RAN and O-RAN terminology and architectures, giving a clear insight in the remaining challenges and innovation needs.
3GPP is finalizing Release 17 and starting to work on the second phase of 5G, which is officially named as 5G Advanced. The goal of 5G Advanced is to extend the 5G framework to support more scenarios and use cases, in particular for IoTs and vertical applications. Communications for automation and intelligence in vertical domains come with demanding and diverse requirements with respect to latency, data rates, availability, reliability, and in some cases, high-accuracy positioning. The vertical industries that will reap the benefits of this new level of automation will range from railways, buildings, manufacturing, healthcare, smart cities, electrical power supply and special events. Integrated with AI, Big Data, IoT, and other key technologies, 5G Advanced will empower traditional industries one step further than 5G. The talk will demonstrate the latest status of 5G empowered vertical applications and provide insight on how 5G Advanced will digitalize and modernize traditional industries to raise the efficiency. AI, industrial IoT, ubiquitous networks, blockchains, edge computing and network slicing are the key technologies which will be elaborated in this talk. In the conclusion of this talk, evolving trends of 5G Advanced to better boost a smart society and better support verticals will also be outlined.
Lifted by the network automation mega-trend, a third wave of autonomous computing and networking technologies development rises across the ICT industry. Multiple initiatives from Standards Development Organizations (SDOs), large open source projects, preeminent industry actors and renowned academic research teams have been launched in recent years and continue to emerge. This phenomenon deserves careful consideration if one wants to avoid facing the same disillusion as previous attempts at making autonomous networks a reality. While the theoretical and applied research corpus has been extensively contributed, the real world and large-scale adoption of autonomous networks has been, in contrast, relatively limited and disappointing. Since autonomous networks continue to fascinate research and engineers as a technological area full of potential and promise, the goal of this panel is to make a reality check on where we stand on the level of maturity of autonomous networks technologies and what challenges should the industry collectively address to ensure that the promises are met.
6G becomes the hotspot for the wireless research community, whilst the journey to 6G is still many years ahead. The road to 6G entails a process for the fundamental research for 6G technologies, the development of the 6G enabling technologies and standardization of 6G technologies. In this Executive Forum, we will focus on the discussion and debate of the 6G times-line, and route to global standardization on 6G.
As 5G takes to the airwaves, we now turn our imagination to the next generation of wireless technology. The promise of this technology has created an international race to innovate, with significant investment by government as well as industry. And much innovation is needed as 6G aspires to not only support significantly higher data rates than 5G, up to 100 Gbps, but also improved reliability along with excellent coverage indoors and out, including for underserved areas. New architectures including edge computing must be designed to drastically enhance efficient resource allocation while also reducing latency for real-time control. Breakthrough energy-efficiency architectures, algorithms and hardware will be needed so that wireless devices can be powered by tiny batteries, energy-harvesting, or over-the-air power transfer. There are many technical challenges that must be overcome in order to make this vision a reality. This talk will describe what the wireless future might look like along with some of the innovations and breakthroughs required to realize this vision.
New applications envisioned for networks in 5G and beyond place emphasis on ultra-reliable and low-latency communications. To simultaneously support the seemingly contradictory requirements placed on the error-correcting systems in future networks, near-maximum likelihood decoding of short block-length codes has become a focus of recent research. In this talk we will present recent results on several different near-maximum likelihood decoding techniques for short block-length codes, including techniques for decoding short Reed-Muller and Polar Codes, AI-assisted decoding, and GRAND decoding. An emphasis will be placed on reducing the complexity of near-ML decoding algorithms towards practical hardware implementations.
In this talk we will look at security and privacy aspects associated to 6G thus bringing trustworthy 6G to everyone. The talk will present thoughts from the perspective of potential use-cases, possible standatdization directions and global trends. In this talk we will look at security and privacy aspects associated to 6G thus bringing trustworthy 6G to everyone. The talk will present thoughts from the perspective of potential use-cases, possible standatdization directions and global trends.
This talk is an attempt to answer the question “How can intelligent machines efficiently communicate?” which is one of the main goals of the so-called “Semantic Communication”. I will present a joint work with Daniel Bennequin which shows our progresses towards a mathematical theory of semantic communication, inspired by the foundational works of Claude Shannon and Alexander Grothendieck. To communicate efficiently we need a language. This language is intimately related to the goal or task that the semantic source has to follow. The second part of the presentation will be devoted to the Carnap and Bar-Hillel language. It will be shown on this example why a notion of semantic information measure cannot be a scalar quantity but a space. We will give some intuition on the construction of such spaces. Finally we will propose both semantic source coding and semantic channel coding theorems.
The 5G technology has dominated the research landscape for many years with strict KPIs requires that exceeds any previous generation. The industry took the lead for developing new innovative components that spans all over the network end-to-end. However, the 3GPP standards define a network that employs magnificent features for radio access, transport, core network, monitoring, etc. This is a network that resides over multi-cloud domains and fully automated to restructure in response to user demands and traffic changes. However, the 5G race has just began as vendors and solution providers are working hand to hand with operators to develop the necessary features that bring such a network into reality. This panel include experts from world leading operators and industries to identify what has been achieved so far and what is still to be done from production perspective. This panel will help both academic and industrial communities to prioritize their backlog for more focused effort towards the most needed solutions for 5G.
In this workshop, the covered topics include but are not limited to THz transceivers, antennas and antenna arrays; information theoretic analysis of THz communication systems, THz channel modeling, estimation and equalization techniques; ultra-broadband modulation and waveform design; beamforming, precoding and space-time coding schemes; MAC design and interference management; relaying and routing in ultra- broadband networks; system-level modeling and experimental platforms and demonstrations.