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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.
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.
This session will discuss the evolution of radio access network to open and virtualized cloud native RAN. It will focus on the RAN networks today for 5G, current ecosystem landscape, emerging trends in this space for 5G and beyond. It will also talk about the opportunities and challenges as well as how our network will become scalable specifically in the context of virtualization. The session with discussion some of evolving trends towards 6G and how cloud native technologies and ubiquitous computing will play a crucial role going forward. Why is this topic important: Analysts are getting more bullish on ORAN/vRAN – Dell ORO recently increased the ORAN/vRAN adoption from 10 to 14% by 2025. There are lot of innovations and investments being done in both hardware and software associated with ORAN/VRAN. Multiple partnerships/consortiums are being formed across the RAN ecosystem. The usage will also extend from Macro network to enterprise & IOT networks as well. What industry challenges are you addressing / solving? This will address dynamic scalability of a network and availability of multiple ecosystem options that will deliver TCO benefits for the end customer.
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.
Edge computing as an evolution of cloud computing brings application hosting from centralized data centers down to the network edge, closer to consumers and the data generated by applications. It is acknowledged as one of the key pillars for meeting the demanding 5G Key Performance Indicators, especially as far as low latency and bandwidth efficiency are concerned. Moreover edge computing also plays an essential role in the transformation of the telecommunications business, where telecommunications networks are turning into versatile service platforms for industry and other specific customer segments. ETSI ISG MEC is the home of technical standards for edge computing. The group has already published a set of specifications and reports to offer fully standardized solutions to support IoT applications in distributed cloud. The emphasis of this talk is the MEC features in support of IoT use cases and requirements, as well as the MEC integration with 5G system and the MEC expansion to edge federation.
Today's mobile phones are far from mere communication devices they were just fifteen years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. Information about users’ behaviour can also be gathered by means of wearables and IoT devices as well as by sensors embedded in the fabric of our cities. Inference is not only limited to physical context and activities, but in the recent years mobile phones have been increasingly used to infer users' emotional states. The applications of these techniques are several, from positive behavioural intervention to more natural and effective human-mobile device interaction. In this talk, I will discuss the work of my lab in the area of mobile sensing for modelling and predicting human behaviour for social good. I will also discuss our research directions in the broader area of modelling human behaviour and social systems, outlining the open challenges and opportunities.
Federated Learning (FL) and Multi-agent Reinforcement Learning (MARL) are two emerging machine learning paradigms for future intelligent wireless IoT and networked systems. FL is a data-driven supervised machine learning setting where the centralized location trains a learning model by using remote devices (e.g., sensors, user devices). On the other hand, the decentralized MARL schemes, which are based on interactions of the learning agents with the environment, present suitable frameworks to solve decision and control problems considering the heterogeneity of IoT systems. In this talk, I shall discuss example applications and also the challenges of employing FL and MARL methods in resource-constrained and unreliable wireless IoT systems and networks. I shall present an FL algorithm that is suitable for a resource-constrained wireless access network and also a MARL method for a practical wireless edge computing environment. To this end, I shall discuss several of the key open research issues.
The new generation of Internet of Things involves Internet of Mobile Things (IoMT) which lets increasingly moving objects make better operational decisions through pooling data and resources from other connected vehicles and devices. Due to the enormous research and commercial potential, a lot of companies and researchers are attracted to this area. This workshop aims to bring researchers working on Future IoMTs under one roof to discuss the implementation, applications, and possible standardization efforts. We expect that the authors can together bring about significant impacts within this domain and share their knowledge and experiences with members of the research community, commercial sector and wider audiences.
The goal of the workshop is to solicit the recent developments in ultra-high speed, low latency, and massive connectivity communication with a vision of their potential advancement into beyond 5G and towards 6G. We aim to organize the 4th Workshop on “Ultra-high speed, Low latency and Massive Communication for futuristic 6G Networks (ULMC6GN)” in ICC 2021 to bring together academic researchers, industrial practitioners, and individuals working on this emerging exciting research areas to share their new ideas, latest findings, identify and discuss potential use cases, open research problems, technical challenges, and solution methods in this context.
Internet traffic is undergoing constant change. One prominent example is the COVID-19 outbreak, a global pandemic, in March 2020. As a result, billions of people were either encouraged or forced by their governments to stay home to reduce the spread of the virus. This caused many to turn to the Internet for work, education, social interaction, and entertainment. With the Internet demand rising at an unprecedented rate, the question of whether the Internet could sustain this additional load emerged. To answer this question, we review the impact of the first year of the COVID-19 pandemic on Internet traffic. Next, we will take a look at the rise of IoT devices and their traffic patterns. Bio: Anja Feldmann studied CS in Paderborn, Germany and continued her studies at Carnegie Mellon University, where she earned her Ph.D in 1995. The next four years she did research work at AT\&T Labs Research, before taking professor positions at Saarland University, the TU Munich, and the TU Berlin. In May 2012, she was elected the first woman on the employer side of the Supervisory Board of SAP. Since the 2018, Anja is a director at the Max Planck Institute for Informatics in Saarbrücken, Germany. Her current research interests include Internet measurement, traffic engineering and traffic characterization, network performance debugging, and network architecture. She has published more than 70 papers and has served on more than 60 program committees, including as Co-Chair of ACM SIGCOMM 2003 and ACM IMC 2011 and as Co-PC-Chair of ACM SIGCOMM 2007, ACM IMC 2009, ACM HotNets 2014, and ACM CoNext 2020. She is a recipient of the Gottfried Wilhelm Leibniz Preis, the Berliner Wissenschaftspreis, the Schelling Preis, and the Vodafone Innovation Award. She is a member of the German Academy of Sciences Leopoldina, the BBAW, and acatech.
The aim of this workshop is to streamline research on affective sensing applications in communication networks. It further comes in response to a steadfastly growing trend in communication context both to facilitate cost-effective sensing, and to utilize the user’s affect to improve the network operation. These include the use of ISM-band equipment to contactlessly capture human movement, pose, breathing rate, etc., and infer affect whether in standalone or a multimodal manner, i.e., with or with video/audio feeds. Another example is the automating QoE capture to improve the networked service delivery.
The Internet of Things (IoT) has numerous applications in healthcare, from smart wearable or implantable sensors to remote monitoring of elderly, medical device networking, and in general creating a healthcare network infrastructure. IoT has the potential to create a pervasive environment for monitoring patient health and safety as well as improving how physicians deliver care. It can also boost patient engagement and satisfaction by allowing them to spend more time in the comfort of their residence and interact with their care centers whenever needed. A significant driver for the IoT-Health market is the increasing penetration of connected devices in healthcare. Wearable sensors have received a remarkable growth in recent years; however, a pervasive IoT- Health infrastructure is still long way from commercialization. The end-to-end health data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider. IoT- Health workshop aims to focus on the design, development, performance evaluation and experimentation of IoT enabling technologies in healthcare applications.
5G networks will deploy many new network services such as ultra-reliable low latency (uRLLC), massive Machine-type communications (mMTC), enhance Mobile Broadband (eMBB) and provide support for massive IoT (mIoT). These in turns will significantly impact how industrial networks are deployed, managed and operated. Industrial networks have evolved from serial bus towards more complex systems, and are converging towards IT. These are networks with specific protocols, constraints and requirements. Currently, the main protocols are EtherNet/IP, Profinet, EtherCAT, Powerlink, Modbus-TCP and others. However, wireless industrial networks are becoming more and more deployed, growing 30% year on year over the last few years. This evolution will only accelerate when 5G will be deployed. Industrial networks have stringent requirements in scale, delays, security and amount of bandwidth. We aim to explore how such diverse and wide range of applications can collectively bring new ideas and research in industrial networks & inter-networking technologies in protocols, architectures, security, and algorithms. This workshop aims to look at a set of problems from the key aspects mentioned above: new services, new routing and addressing methods, new infrastructures, new security mechanisms, mechanisms for scaling massive IoT networks, mechanisms for resiliency, and other aspects of large-scale industrial networks.
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically, based on their operating situations. Emerging Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications aim to bring people, data, processes, and things together, to fulfill the needs of our everyday lives. With the emergence of software defined networks, adaptive services and applications are gaining much attention since they allow automatic configuration of devices and their parameters, systems, and services to the user's context change. It is expected that upcoming Fifth Generation and Beyond (5G&B) wireless networks, known as more than an extension to 4G, will be the backbone of IoT and CPS, and will support IoT systems by expanding their coverage, reducing latency and enhancing data rate. However, there are several challenges to be addressed to provide resilient connections supporting the massive number of often resource-constrained IoT and other wireless devices. Hence, due to several unique features of emerging applications, such as low latency, low cost, low energy consumption, resilient and reliable connections, traditional communication protocols and techniques are not suitable.