Electromagnetic Signal and Information Theory: From Synergizing Three Realms to Evolution of Next Generation Communications

Aryan Kaushik · Marco Di Renzo

Jan 2026 · Academic Press

Ebook

325

Pages

Eligible

This book will become available on January 1, 2026. You will not be charged until it is released.

About this ebook

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.• Presents a vision of Electromagnetic Signal and Information Theory (ESIT)• Explains the theory underlying ESIT, covering signal processing, information theory and electromagnetism• Gives examples and applications to illustrate how the principles have been put into practice• Contributed by leading people in the field from academia and industry• Gives a perspective on future directions

About the author

Prof. Aryan Kaushik is an Associate Professor at the Manchester Metropolitan University, UK, associated with the Department of Computing and Mathematics.

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

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