Electromagnetic Signal and Information Theory

From Synergizing Three Realms to Evolution of Next Generation Communications
Erscheinungsjahr 2026
ISBN: 978-0-443-36354-2
Verlag: Elsevier Science

Buch, Englisch, 325 Seiten, Format (B × H): 191 mm x 235 mm

To meet the immensely higher data rate, reliability, adaptability and traffic demands in the 5G-Advanced/6G era, novel communication frameworks are rapidly emerging to fully utilize electromagnetic waves. One area is Electromagnetic Signal and Information Theory (ESIT), an interdisciplinary framework to evaluate the fundamental limits of wireless communications by integrating deterministic electromagnetic wave (EM) theory, signal processing and statistical information theory. Electromagnetic Signal and Information Theory: From Synergizing Two Realms to Evolution of Next Generation Communications provides a comprehensive coverage of topics ranging from theoretical foundations to advanced technologies to emerging trends, as well as information on standardization, offering valuable insights and guidance to university researchers and industry professionals. With contributions from leading experts in the field and a focus on cutting-edge research areas such as reconfigurable intelligent surfaces and holographic MIMO, the book addresses the audience's need for in-depth understanding, practical applications, and future directions in wireless communications.

Autoren/Hrsg.

Kaushik, Aryan

Renzo, Marco Di

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

1. Introduction to ESIT: Amalgamation of the electromagnetic theory, signal processing theory, and information theory, trends, challenges and future prospects - chapter by the Editors.
2. ESIT with wave domain information processing and mutual coupling
3. Next Generation MIMO: Holographic MIMO
4. Stacked Intelligent Metasurfaces for 6G and beyond
5. Reconfigurable intelligent surfaces (RIS) with machine learning and deep learning
6. Intelligent Metasurfaces/ESIT aided Integrated Sensing and Communications (ISAC)
7. Synergies between intelligent metasurfaces and airborne UAV-communications
8. ESIT aided LEO satellite communications and mega-constellation satellites
9. ESIT based near-field communications
10. ESIT: spatial multiplexing and energy-efficient architectures
11. Industry specifications and experimentation/testbed for ESIT and OAM assisted communications
12. Multi-function ESIT/intelligent metasurfaces for inteliigent sensing and communication
13. ESIT adoption for different frequency bands: cmWave (7-15 GHz), mmWave, sub-THz and THz
14. ESIT/beyond diagonal metasurfaces aided interference management and multiple access
15. Electomagnetically consistent models for channel estimation
16. Role of ESIT in Vehicular Communications such as V2X, V2I, V2V scenarios
17. Use Cases and Emerging Technologies complementing ESIT

Über Autor(innen)

Kaushik, Aryan
Dr. Aryan Kaushik is Associate Professor at the Manchester Met, UK, associated with the Department of Computing and Mathematics, since 2024. Prior to that, he has been an Assistant Professor (on a senior grade) at the University of Sussex, UK, associated with the School of Engineering and Informatics, from 2021-24, where he also served as the Recruitment and Admissions Tutor, and Academic Advisor. He has been Research Fellow at the University College London, UK, with the Department of Electronic and Electrical Engineering, from 2020-21. He completed his PhD degree in Communications Engineering at the School of Engineering, University of Edinburgh, UK, in 2019. He received his MSc degree in Telecommunications from the Hong Kong University of Science and Technology, Hong Kong, in 2015. He has held visiting professor/researcher appointments at the Imperial College London, UK, from 2019-20, University of Bologna, Italy, in 2024, University of Luxembourg, Luxembourg in 2018, Athena Research and Innovation Center, Greece, in 2021, and Beihang University, China, from 2017-19, 2022. He has been also involved in PhD Thesis Evaluation Committee internationally such as at the Universidad Carlos III de Madrid (UC3M), Spain, in 2023.

Renzo, Marco Di
Prof. Marco Di Renzo (Fellow, IEEE) received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud (currently Paris-Saclay University), France, in 2013. Currently, he is a CNRS Research Director (Professor) at Paris-Saclay University - CNRS and CentraleSupelec, Paris, France. At Paris-Saclay University, he serves as the Coordinator of the Communications and Networks Research Area of the Laboratory of Excellence DigiCosme, as a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies, and as a Member of the Evaluation Committee of the Graduate School in Computer Science. He is a Founding Member and Academic Vice Chair of the ISG on Reconfigurable Intelligent Surfaces (RIS) within the ETSI, where he serves as the Rapporteur for the work item on communication models, channel models, and evaluation methodologies. He is a Fellow of the IEEE, IET, and AAIA; an Ordinary Member of the European Academy of Sciences and Arts, an Ordinary Member of the Academia Europaea; and a Highly Cited Researcher. Also, he is a Fulbright Fellow at City University of New York, USA, and was a Nokia Foundation Visiting Professor and a Royal Academy of Engineering Distinguished Visiting Fellow. His recent research awards include the 2021 EURASIP Best Paper Award, the 2022 IEEE COMSOC Outstanding Paper Award, the 2022 Michel Monpetit Prize conferred by the French Academy of Sciences, the 2023 EURASIP Best Paper Award, the 2023 IEEE COMSOC Fred W. Ellersick Prize, and the 2023 IEEE COMSOC Heinrich Hertz Award. He also served as the Editor-in-Chief of IEEE Communications Letters