Special Session on “5G Evolution and 6G”
9th of December 2021
The fifth generation 5G wireless cellular networks promise higher data rates, faster connectivity speeds and ultra-low latency to dramatically transform the society. Since the first release (Rel. 15) 5G continues to roll out at a rapid pace across the world utilizing the mmWave frequency band with much higher bandwidths. It will enable new verticals such as e-health, smart agriculture, smart cities, connected traffic systems etc. and automation IoT applications for the industry. At the same time, research and development activities of 6G wireless has started with an aim to launch services around 2030. It is also expected that artificial intelligence (AI) and machine learning (ML) will shape the optimization of link and system-level solutions of these networks.
Thus, this full-day workshop aims to bring together worldwide researchers and experts from the academia and Industry to discuss the latest advances as related to the enabling technologies, design and real deployment, use cases and regulatory aspects of 5G wireless networks towards 6G. Moreover, during panel sessions, the audience will have a chance to discuss about ongoing developments and emerging trends of 5G/6G (RAN/applications/role of AI) with the workshop resource persons.
|8.45 am – 8.55 am||Welcome|
|8.55 am – 9.30 am||Advanced Multiple Antenna Techniques for 5G and Beyond||Dr. K.C.B. Wavegedara|
|9.30 am – 10.05 am||Frugal 5G: A Path to Rural Connectivity||Dr. Meghna Khaturia|
|10.05 am-10.40 am||On the Primal Feasibility in Dual Decomposition Methods under Additive and Bounded Errors||Dr. P. Chathuranga Weeraddana|
|10.40 am-11.15 am||Reconfigurable Intelligent Surface for Smart Wireless Radio Environments||Dr. Saman Attapattu|
|11.15 am-11.45 pm||Discussion|
|11.45 am-12.00 pm||Break|
|12.00 pm-12.35 pm||Air Interface Design with Machine Learning and Potential Use Cases in 6G||Prof. Nandana Rajatheva|
|12.35 pm-1.10 pm||What Role will Sustainability and Spectrum Access Play in Future 6G Service Provision?||Dr. Marja Matinmikko-Blue|
|1.10 pm-1.45 pm||Machine Learning-Aided Wireless Communication System Designs towards Reliability and Robustness||Prof. Sumudu Samarakoon|
|1.45 pm-2.20 pm||From 5G test network to 6G test network – Verticals driving the development||Prof. Ari Pouttu|
|2.20 pm-2.50 pm||Discussion|
|2.50 pm-3.00 pm||Conclusion of the Workshop|
Dr. K. C. B. Wavegedara
Advanced Multiple Antenna Techniques for 5G and Beyond
Chandika B. Wavegedara received the B.Sc. (Hons) degree in Electrical and Electronics Engineering from the University of Peradeniya, Sri Lanka and the M.Eng degree in Telecommunications from Asian Institute of Engineering (AIT), Thailand. He obtained the Ph.D. degree in Electrical and Computer Engineering from the University of British Columbia (UBC), Vancouver, Canada in 2008. He served as an Assistant Professor in the Electrical Engineering Division at the Higher Colleges of Technology (HCT) in UAE until December 2020. Prior to joining the HCT, from May 2008 to October 2016 he was a Senior Lecturer in the Department of Electronics and Telecommunication, University of Moratuwa, Sri Lanka. His research is primarily focused on the physical-layer aspects of wireless communication systems including advanced receiver algorithms for 5G and beyond 5G systems, massive MIMO, non-orthogonal multiple access (NOMA), and space-time signal processing. He has supervised several undergraduate and graduate research projects in Wireless Communications.
Dr. Meghna Khaturia
Frugal 5G: A Path to Rural Connectivity
Today, we live in a hyper-connected world that is re-defining how people communicate, collaborate and congregate. However, we have a long way to go, with around half of the global population still unconnected. The rural areas of developing countries host a majority of the unconnected global population, suggesting a wide rural-urban digital divide. In this talk, we will discuss the main challenges/requirements regarding connectivity in rural areas and how they can be effectively addressed. We will understand Frugal 5G network architecture and how it can address the rural connectivity problem. Frugal 5G network comprises macrocell base stations that provide carpet coverage in rural areas, while high-speed connectivity is provided via WLAN access points. The WLAN access points are backhauled via a wireless middle mile network. To manage the multi access network, we have developed a fog node using Software Defined Networking (SDN) and network virtualization principles. Some of the main features of the proposed network are unified multi-RAT access, unified interworking function with the core network, and facilitation of local communication. We will also discuss implementation and standardization of Frugal 5G network.
Meghna Khaturia graduated with her M.Tech and Ph.D. from Indian Institute of Technology (IIT) Bombay in 2021. Her PhD work dealt with developing a Frugal 5G communication network for rural broadband access. She did her B.Tech in Electronics and Communications engineering from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India, in 2013. Her research interests include rural broadband, wireless networking, software defined networking, fog computing and network architecture.
Dr. P. Chathuranga Weeraddana
On the Primal Feasibility in Dual Decomposition Methods under Additive and Bounded Errors
With the unprecedented growth of signal processing and machine learning application domains, there has been a tremendous expansion of interest in distributed optimization methods to cope with the underlying large-scale problems. Nonetheless, inevitable system-specific challenges such as limited computational power, limited communication, latency requirements, measurement errors, and noises in wireless channels impose restrictions on the exactness of the underlying algorithms. Such restrictions have appealed to the exploration of algorithms’ convergence behaviors under inexact settings. Despite the extensive research conducted in the area, it seems that the analysis of convergences of dual decomposition methods concerning primal optimality violations, together with dual optimality violations is less investigated. In this talk, results pertaining to the convergence of feasible points in dual decomposition methods under inexact settings, for an important class of global consensus optimization problems are highlighted. Analytical results show that the algorithms converge to a neighborhood of optimality, the size of which depends on the level of underlying distortions. Empirical results are presented to verify the analytical derivations.
P. Chathuranga Weeraddana received the M.Eng degree Telecommunication from School of Engineering and Technology, Asian Institute of Technology, Thailand in 2007 and the Ph.D. degree from University of Oulu, Finland, in 2011. He worked as a postdoctoral researcher in Automatic Control Lab, Electrical Engineering Department and ACCESS Linnaeus Center, KTH Royal Institute of Technology, Stockholm, Sweden from 2012 to 2014. From 2015 to 2017, he worked as a senior lecturer at the Department of Electrical and Computer Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka. He is currently working as a senior lecturer in the Department of Electronics and Telecommunications, University of Moratuwa, Sri Lanka. His research interests include optimization theory and its application domains, such as signal processing, machine learning, and wireless communications, among others.
Dr. Saman Atapattu
Reconfigurable Intelligent Surface for Smart Wireless Radio Environments
The emerging concept of smart wireless radio environments is underpinned by new enabling technologies such as reconfigurable intelligent surfaces. These smart environments have the potential to offer “greener” and more “seamless wireless connectivity” for the future wireless network. Fundamental communication-theoretic models and enabling techniques to realize reconfigurable intelligent surfaces in practice will be discussed in this talk.
Saman Atapattu received the B.Sc. degree in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, the M.Eng. degree in Telecommunications from Asian Institute of Technology (AIT), Thailand, and the Ph.D. degree in Electrical Engineering from the University of Alberta, Canada. He is currently working with the Department of Electrical and Electronic Engineering, the University of Melbourne, Australia. His research interests include wireless communications and signal processing.
Prof. Nandana Rajatheva
Air interface design with machine learning and potential use cases in 6G
The research on 6G is now underway with higher frequencies from the current millimeter(mm) waves. The focus of the talk will be on the application of machine learning (ML) in physical layer (PHY) as well as in resource allocation. Novel components such as reconfigurable intelligent surfaces (RIS) are being incorporated into the communication system. We consider initial access, channel estimation, and beam management. Involved closely is radio resource management where most research work traditionally is based on various forms of optimization techniques. This is now increasingly investigated in the same manner considering cell free systems and graph neural networks. With machine type communications, active user detection is a key challenge. We explore some machine learning approaches to facilitate this issue. Apart from the usual communication flavored methods there is also a significant thrust expected from the sensing direction, e.g., how to have an integrated sensing and communication platform. The purpose is not only to have more refined communication algorithms with reduced periodic reporting and targeted beamforming but also to deliver services which require accurate location as needed in factory automation, autonomous driving and various such use cases.
Nandana Rajatheva (Senior Member, IEEE) received the B.Sc. (Hons.) degree in electronics and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 1987, ranking first in the graduating class, and the M.Sc. and Ph.D. degrees from the University of Manitoba, Winnipeg, MB, Canada, in 1991 and 1995, respectively. He was a Canadian Commonwealth Scholar during the graduate studies in Manitoba. He held Professor/Associate Professor positions with the University of Moratuwa and the Asian Institute of Technology, Thailand, from 1995 to 2010. He is currently a Professor with the Centre for Wireless Communications, University of Oulu, Finland where he is involved with the Finnish 6G Flagship project and was TPC chair of 2nd 6G wireless summit. He is track co-chair of 6G enabling technologies in joint EUCNC-6G summit 2021and 2022. He is leading the AI-driven Air Interface design task in Hexa-X EU Project. He has coauthored more than 200 refereed papers published in journals and in conference proceedings. His research interests include physical layer in beyond 5G, integrated sensing and communications, applications of machine learning for PHY and MAC layers.
Dr. Marja Matinmikko-Blue
What role will sustainability and spectrum access play in future 6G service provision?
Sustainability has entered all aspects of life and calls for an active approach from the wireless and mobile communications community to help solve the fundamental challenges facing societies by 2030. 6G research has started with joint vision building, led by the Finnish 6G Flagship, with the goal of global deployments in 2030s, in an era where sustainability is the key driver. 6G development will need to address societal, economic and environmental aspects of sustainable development, along with the United Nations Sustainable Development Goals (UN SDGs). The connection between the 6G and the UN SDGs is imminent, but not yet thoroughly explored. Additionally, the radio spectrum continues to be the fundamental resource for the any wireless system, and sustainability in the context of spectrum management requires a rethink of traditional policies by introduction of more dynamic sharing of the precious natural resource. To make spectrum sharing a common practise, stakeholder management for spectrum decision making needs to undergo a major transformation by 2030, to enable sustainable future.
Marja Matinmikko-Blue is Director of Sustainability & Regulation at 6G Flagship and Senior Research Fellow at Center for Wireless Communications (CWC) in the University of Oulu, Finland, where she also holds an Adjunct Professor position in spectrum management. She has worked at the university since 2016.
Prior to her current work, Marja worked as Research Scientist and Senior Scientist at VTT Technical Research Centre of Finland (VTT) in 2001−2015. During 2012−2014, she also served as a Chairwoman of Cognitive Radio System (CRS) Studies in the Working Party 5A (ITU-R WP5A) of the International Telecommunication Union’s (ITU) Radiocommunication Sector.
Marja completed her Dr.Sc. in Telecommunications Engineering in 2012, and Ph.D. in Management Sciences in 2018 at the University of Oulu, Finland. She conducts multi-disciplinary research on technical, business, and regulatory aspects of mobile communication systems in close collaboration with industry, academia, and regulators. Marja has also coordinated several national research project consortia that have successfully demonstrated the world’s first licensed shared access (LSA) spectrum sharing trials and introduced a new local 5G operator concept, which has become a reality in many countries.
Marja has published 170+ scientific publications and prepared 150+ contributions to regulatory bodies in national, European, and international levels. She also coordinated the preparation of twelve 6G White Papers in 6G Flagship and led the development of the White Paper on 6G Drivers and the UN Sustainable Development Goals. She received the Young Scientist of the Year Award in 2013 from Finnish Foundation for Technology promotion for her active and successful collaboration with industry, academia, and regulators.
Prof. Sumudu Samarakoon
Machine learning-aided wireless communication system designs towards reliability and robustness
The growing needs of reliable connectivity, high capacity, and low latency in wireless systems under the limitations of computation and communication resources as well as access to data have sparked the research focus on the co-design of machine learning (ML) and communication. Most of the existing literature on ML-aided wireless communication system designs relies on the conventional data-driven empirical risk minimization (ERM) approaches that exploit the statistical correlations within the observed data. Such approaches are vulnerable to the unseen data corresponds to extreme and rare events and fail to generalize out-of-distribution (OOD) data and other unseen environmental changes. In this view, analyzing the rare events from the scope of studying on the tail distributions of data using extreme value theory (EVT) and enabling OOD generalization through investigating the invariances over the changes in the environment via invariant risk minimization (IRM) are instrumental in ML-aided wireless communication system designs. This presentation focuses on EVT and IRM basics and how they can be adopted to analyze and address the aspects of reliability and robustness in beyond 5G communication systems. Followed by some numerical results, this presentation is concluded by laying down the future directions of the presented works.
Sumudu Samarakoon received the B.Sc. degree (honors) in electronic and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 2009, the M.Eng. degree from the Asian Institute of Technology, Thailand, in 2011, and the Ph.D. degree in communication engineering from the University of Oulu, Finland, in 2017. He is currently an Assistant Professor and a member of intelligent connectivity and networks/systems (ICON) group with the Centre for Wireless Communications, University of Oulu. His main research interests are in heterogeneous networks, small cells, radio resource management, machine learning at wireless edge, and game theory. Dr. Samarakoon received the Best Paper Award at the European Wireless Conference, Excellence Awards for innovators and the outstanding doctoral student in the Radio Technology Unit, CWC, University of Oulu, in 2016. He is also a Guest Editor of Telecom (MDPI) special issue on “millimeter wave communications and networking in 5G and beyond.
Prof. Ari Pouttu
From 5G test network to 6G test network – Verticals driving the development
Synopsis of the talk
This talk discusses the different business verticals that are expected to gain productivity enhancements with the introduction of B5G/6G wireless services and the need for validation within these verticals. It is evident that wireless offers benefits when the use case exhibits mobility, and requires nomadic behavior or flexibility. In some situations, costs may favor wireless solutions (e.g., retrofitting). In many cases, however, a fiber optic solution remains a viable approach. Based on revenue expansion potential and the most opportunity-rich verticals, we have selected few vertical businesses for discussion. We describe the drivers in the respective verticals and the expected change. We also highlight the features within verticals that may require 6G capabilities and make an initial attempt to provide some key performance and value indicators for vertical businesses, highlighting the divergence in requirements to be experienced in the 2030s. We conclude the discussion by proposing some guidelines for trialing and validation activities within verticals to agree golden references that set a reference baseline against which any system provider can test their solutions.
Prof. Ari Pouttu has scientific and engineering experience as a researcher, project manager and research manager in various domains of ICT development. The projects under his command have resulted in waveforms and system designs for military radio communication, radar systems, embedded device networks, future wireless radio communications including cellular systems, cognitive networks and navigation applications.
He has published more than 70 conference or journal papers in the field of wireless communications and he holds two patents. He was the Director of Centre for Wireless Communications in the University of Oulu from 2006 to 2012. Currently he is heading as a professor a research group targeting dependable wireless solutions for business verticals such as energy, industry, health and automotive including solutions for 5G. He is the principal investigator of 5G test network (5GTN) experimental research, co-PI of H2020 SLICES-SC, 5G!Drones, Inspire5Gplus and 5G-ENHANCE projects and is acting as vice-director of the national 6G Flagship Programme targeting 6G solutions.