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, Gewicht: 450 g

Electromagnetic Signal and Information Theory: From Synergizing Two Realms to Evolution of Next Generation Communications delivers an in-depth exploration of both foundational concepts and cutting-edge innovations within wireless communications. This authoritative volume presents a seamless blend of theory, practical application, and emerging technologies, specifically tailored for university researchers and industry professionals. Readers will benefit from expert contributions that illuminate topics such as reconfigurable intelligent surfaces and holographic MIMO, addressing the growing needs for higher data rates, robust reliability, and adaptability in the evolving landscape of 5G-Advanced and 6G networks.

In addition to its comprehensive technical insights, the book stands out for its thorough coverage of standardization efforts and future research directions, equipping readers to anticipate and respond to technological advancements. The interdisciplinary approach of Electromagnetic Signal and Information Theory (ESIT) is highlighted, integrating deterministic electromagnetic wave theory, statistical information theory, and advanced signal processing.

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)

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

Kaushik, Aryan
Prof. Aryan Kaushik is a CIO at RakFort since 2025. He has been an associate professor at Manchester Met (2024­­­-25), an assistant professor at UoS (2021-24), a research fellow at UCL (2020-21), and has been associated with the University of Edinburgh (2015-19), HKUST (2014-15), etc. He has held visiting appointments at Imperial College London, University of Bologna, IIITD, etc. He has been an external assessor/PhD examiner at KTH, UC3M, etc. He has been an invited panel member at the UK EPSRC ICT Prioritisation Panel, chair of IEEE ComSoc ETI on ESIT and SIG on AITNTN, vice-chair of one6G WG3, editor of five books, etc., and has been invited as a keynote and tutorial speaker for 125+ academic and industry events globally and has chaired in organizing/TPCs of 15+ flagship IEEE conferences.