System and Device Architectures, Challenges and Future Directions of 6G-Enabled Wireless Communications for IoT Applications

  in Special Issue   Posted on November 2, 2020

Information for the Special Issue

Submission Deadline: Fri 30 Jul 2021
Journal Impact Factor : 1.161
Journal Name : Microprocessors and Microsystems
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/microprocessors-and-microsystems/call-for-papers/system-and-device-architectures
Journal & Submission Website: https://www.journals.elsevier.com/microprocessors-and-microsystems

Special Issue Call for Papers:

The sophistication and the upcoming commercialization of communication networks of the fifth generation (5G) will accommodate an exponential growth in mobile data demand and the diverse needs of vertical industries as part of a much wider global digital economy, such as retail, transport, and health. Wireless networking systems and innovations beyond the fifth-generation of (5G) networks need to be more implemented. Wireless data traffic by 2030 (Source: ITU) is forecast at 4394 EB, and most advanced technologies will not be enabled by 5G. The sixth-generation network (6G) is expected to improve 5G capabilities in order to allow millions of connected devices and apps to run seamlessly with high data rates and low latency. In support of massive wireless interconnectivity, with extremely complex service requirements, 6G will therefore play a key role. Efficient and smart preparation is required to meet the exceptional demands of ubiquitous connectivity in future 6G enabled wireless networks. Due to the Internet of Things (IoT) heterogeneity, 6G wireless network random access and resource allocation mechanisms should take into account IoT requirements through intelligent algorithm implementations and protocol design as well as advanced signal processing and communication technologies. Modern random access techniques such as MIMO, OFDMA, NOMA, sparse signal processing or new techniques in the field of orthogonal architecture are good candidates for IoT-enabled 6G wireless network. Additionally, 6G-enabled IoT networks could be a domain of application of emerging Artificial Intelligence (AI) technologies exploiting the knowledge that can be generated for applications like spectrum management, energy efficiency, IoT discovery, and cognitive technologies etc. accelerating innovation in these fields. The combined use of the 6G and AI technologies represent a multidisciplinary domain towards developing efficient modern IoT systems. This special issue is intended to provide a detailed review of emerging technologies, advanced architectures and potential challenges focusing on the role of system and device architectures for 6G-enabled IoT.

The topics of interest include, but are not limited to the following:

  • System and device architectures for 6G-enabled wireless communication
  • Implementation of resource allocation and energy efficient algorithms in 6G-enabled wireless networks
  • Performance vs. implementation efficiency aspects of random access for 6G-enabled IoT
  • Impact on design and implementation complexity of novel Information theory foundations of 6G-enabled IoT
  • Wireless signal processing techniques for 6G-enabled IoT
  • Real-time sensing, learning, and decision making for 6G-enabled IoT
  • Novel AI and Machine learning frameworks for 6G-enabled IoT
  • Intelligent hardware and systems against vulnerabilities under different threat models and risk management in 6G enabled wireless communication
  • Interoperability between 6G and various IoT systems
  • AI-assisted intelligent spectrum management in 6G networks
  • Blockchain-enabled resource management and sharing for 6G communications
  • Breakthrough technologies and concepts
  • Reconfigurable antennas and devices for the next generation systems and services

Important Dates

Submission deadline: July 30, 2021

First Reviews Decisions: October 31, 2021

Last Date for Revised Manuscripts: December 31, 2021

Final Manuscript: January 31, 2022

Publication of Special Issue: March 15, 2022

Guest Editors:

1. Dr. Gaurav Dhiman (corresponding guest editor)

Assistant Professor

Government Bikram College of Commerce, India

Email: gdhiman0001@gmail.com

Google_Scholar: https://scholar.google.com/citations?user=E3Z7oJcAAAAJ&hl=en&authuser=1

2. Prof. Theofanis Orphanoudakis

Associate Professor

Hellenic Open University Schools of Science & Technology,

Patra, Greece

Email: fanis@eap.gr

Google_Scholar: https://scholar.google.co.in/citations?user=2tuyTBkAAAAJ&hl=en

3. Prof. Victor Chang

Professor of Data Science and Information Systems,

Teesside University, Middlesbrough, UK

Email: ic.victor.chang@gmail.com

Google_Scholar: https://scholar.google.com/citations?hl=en&user=IqIYZ14AAAAJ

4. Prof. Atulya Nagar

PRO VICE CHANCELLOR (RESEARCH),

Liverpool Hope University, UK

Email: NAGARA@hope.ac.uk

Google_Scholar: https://scholar.google.co.in/citations?user=uaoZ40wAAAAJ&hl=en

Guest Editors Short Bio:

Dr. Gaurav Dhiman received his Ph.D. in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala. He has completed his Master Degree of Computer Applications from Thapar Institute of Engineering & Technology, Patiala. He is currently working as an Assistant Professor with the Department of Computer Science, Government Bikram College of Commerce, Patiala. He was selected as an outstanding reviewer from Knowledge-Based Systems (Elsevier). He has published more than 60 peer-review research papers (indexed in SCI-SCIE) and 5 international books. He is also serving as the guest editor of more than five special issues in various peer-reviewed journals. He has five Australian and Indian patents. He is also in editorial board members of Current Chinese Computer Science (Bentham Science), Current Dissertations (Bentham Science), Journal of Fuzzy Logic and Modeling in Engineering (Bentham Science), Journal of the Institute of Electronics and Computer (IEC Science), Journal of PeerScientist, Artificial Intelligence Evolution, Acta Scientific Computer Sciences. His research interest includes Single-, Multi-, Many-objectives optimization (Bio-inspired, Evolutionary and Quantum), Soft computing (Type-1 and Type-2 fuzzy sets), Power systems, and Change detection using remotely sensed high-resolution satellite data. His research articles can be found in Knowledge-Based Systems (Elsevier), Advances in Engineering Software (Elsevier), Applied Intelligence (Springer), Journal of Computational Science (Elsevier), Engineering with Computers (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), Journal of Ambient Intelligence and Humanized Computing (Springer), among others. His research can also be seen in http://www.dhimangaurav.com

Dr. Theophanis Orphanoudakis received his Dipl-Ing. degree in Electrical and Computer Engineering in 1995 and the Ph.D. in Telecommunications in 1998, both from the National Technical University of Athens. Since 2013 he has been with the Department of Sciences & Technology of the Hellenic Open University, currently at the rank of associate professor and director of the Digital Systems and Media Computing Lab (DSMC, http://dsmc2.eap.gr) and the Educational Content, Methodology and Technology Laboratory (e-CoMeT) Laboratory (https://eeyem.eap.gr/), an independent unit of HOU. From 1999-2005 he led R&D activities in the area of broadband networking components as a Technical Manager of Ellemedia Technologies. From 2005 to 2013, he was a Research & Teaching Associate (adjunct assistant professor) at the Department of Telecommunications Science and Technology, University of Peloponnese. From 1996 to 1999, he was a research associate at the Telecommunications Laboratory of the NTUA. He has participated in several EU and national research programs projects both as a senior researcher and as a project coordinator in the areas of ICT, embedded systems and broadband access and optical networks. His research interests include embedded smart systems and services, IoT, edge cloud computing, converged wireless/wired access network architectures, shared broadband systems, traffic engineering, resource management, switching, scheduling, design & implementation of high-speed networking systems and network processor architectures. He has over 120 publications in international journals and conferences in the above-mentioned areas. Dr. Orphanoudakis is a Senior Member of the IEEE and the Technical Chamber of Greece.

Prof. Victor Chang is a (Full) Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK. He joined the School in September 2019. He was previously a Senior Associate Professor, Director of Ph.D. (June 2016 – May 2018), Director of MRes (Sep 2017 – Feb 2019) and Interim Director of BSc IMIS (Aug 2018 – Feb 2019) programs at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China between June 2016 and August 2019. He was also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He’s a former Honorary Associate Professor at the University of Liverpool and Visiting Researcher at the University of Southampton, UK. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, between Sep 2012 and May 2016. He was a Lecturer of IS and IT Architect at the University of Greenwich between Feb 2011 and August 2012. Prior to that, Prof Chang was the IT Service Manager at Guy’s & St Thomas NHS Hospitals and KCL between July 2008 and Feb 2011. Before joining NHS, he was the IT Specialist and Researcher at the University of Southampton between August 2004 and July 2008. He worked at the University of Cambridge between October 2001 and July 2004, first as a Research Scholar at Engineering, and then as a Web Development Officer at Cavendish Lab. Before coming to the UK, he was a Web Project Leader at National Computer Systems in Singapore and Assistant Manager of UNI Computer in Sydney, Australia. Prof Chang is one of the most highly cited researchers apart from being an international leading young scientist with reputation and track records. He worked on every project with details known. He is a highly efficient, effective, organized, responsible and self disciplined scholar to make things happen. His focus will be on funding and building more funded projects between academia, and between academia and industry. Please contact him if there’re suitable funding opportunities matching his skills/experiences and your needs.

Prof Atulya Nagar holds the Foundation Chair as Professor of Mathematics at Liverpool Hope University where he is the Pro-Vice-Chancellor for Research and Dean of Faculty of Science. Prof Nagar has been the Head of School of Mathematics, Computer Science, and Engineering since December 2007. A mathematician by training, he posses multidisciplinary expertise in Nonlinear Mathematics, Natural Computing, Bio-Mathematics and Computational Biology, Operations Research, and Control Systems Engineering. He has an extensive background and experience of working in Universities in the UK and India. He has been an expert reviewer for the Biotechnology and Biological Sciences Research Council (BBSRC) grants peer-review committees for Bioinformatics Panel; Engineering and Physical Sciences Research Council (EPSRC) for High Performance Computing Panel; and serve on the Peer-Review College of the Arts and Humanities Research Council (AHRC) as a scientific expert member. Prof Nagar has edited volumes on Intelligent Systems, and Applied Mathematics; He is the Editor-in-Chief of the International Journal of Artificial Intelligence and Soft Computing (IJAISC) and serve on editorial boards for a number of prestigious journals such as the Journal of Universal Computer Science (JUCS). He has been Conference General Chair and member of the International Programme Committee (IPC) for several international conferences and have been invited to deliver keynote lectures at a number of such forums. He published with over 200 publications in prestigious publishing outlets and journals such as the Journal of Applied Mathematics and Stochastic Analysis; the International Journal of Advances in Engineering Sciences and Applied Mathematics; the International Journal of Foundations of Computer Science; the IEEE Transactions on Systems, Man, and Cybernetics; Discrete Applied Mathematics; Fundamenta Informaticae; IET Control Theory & Applications, to name a few.

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