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.
1. ESIT Fundamentals: Theoretical Bounds and Modeling
2. Electromagnetic Information: A signal-space, non-stochastic approach
3. 3D Continuous-Space Radio Channel Research based on Electromagnetic
Information Theory
4. Electromagnetically Consistent Modeling, Optimization, and Scaling Laws of
Intelligent Surfaces Aided Wireless Systems
5. The design and performance study of the antenna array element with more
than two independent ports
6. Applications of ESIT: OAM and its extension to multishape radio including
Airy and Bessel beams
7. Fairness-Aware Beamforming for Cell-Free Continuous Aperture Array
Systems
8. FAS-RIS Empowered 6G Wireless Networks
9. Achievable data rate investigation and power allocation of reconfigurable
intelligent surfaces assisted multi-user OFDM communication
10. Performance of RIS-assisted IoT network with hardware imperfections
11. Electromagnetic Signal and Information Theory Perspective on Holographic
Integrated Sensing and Communications for 6G
12. ESIT-aided integrated sensing and communication (ISAC): Enhancing
efficiency and performance
Prof. Aryan Kaushik is a CIO at RakFort since 2025. He has been an associate professor at Manchester Met (202425), an assistant professor at UoS (202124), a research fellow at UCL (202021), and has been associated with the University of Edinburgh (201519), HKUST (201415), 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.
Prof. Marco Di Renzo (Fellow, IEEE) received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of LAquila, 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
