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Description
Green energy and next-generation wireless systems are no longer independent domains, rather they are rapidly converging to redefine the future of sustainable connectivity. This book presents a forward looking study outlining the design of green energy driven, integrated smart grid and wireless networks. It reimagines the integration of renewable energy with the traditional power grid, by enabling each grid user to not only consume grid energy but to also be a potential energy source, thereby revising the conventional idea of power grids. A grid networked system of such distributed ambient powered nodes is hence envisioned to potentially act as a carbon-free energy producer system to the power grid, in addition to an energy prosumer system.
Through its chapters, the book outlines and highlights the importance of sustainability in 6G networks. The authors present insights on the design constraints and challenges in system analysis. The study broadly pertains to analytical modeling of spatio-temporal randomness in cellular networks, presenting novel strategies to mitigate the effects of the dual randomness on network performance. The key ideas presented include joint load and energy balancing, optimum resource provisioning, and aerial offloading. The authors also demonstrate a wider perspective by extending the concept of energy balancing to energy aware residential networks. The book concludes by discussing the scope of integration of AI in wireless networks and motivate the need for green-AI aided future networks.
Written for graduate level students in computer science and electrical engineering, as well as industry professionals deploying large-scale green service solutions, this book serves as both a foundational reference and a roadmap toward sustainable, scalable, and intelligent future communication networks.
Introduction.- Ambient powered network design.- Grid connected and ambient powered communication networks.- Networked architectures and System design.- Mitigating Imbalances: A consumer traffic load balancing paradigm.- Leveraging Imbalances: An energy balancing paradigm.- Joint load-energy balancing framework.- Integrated aerial-terrestrial networks.- Grid connected and ambient powered general consumer appliance networks.- Green AI driven networks.- Conclusion.
Li-Chun Wang (Fellow, IEEE) received his Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in 1996. He is currently the Dean of the College of Electrical and Computer Engineering and a Lifetime Chair Professor in the Department of Electrical Engineering at National Yang Ming Chiao Tung University (NYCU), Taiwan. Prior to joining academia, he served as a Senior Researcher at AT&T Labs Research. Prof. Wang was elected as an IEEE Fellow in 2011 for his contributions to cellular architecture design and wireless resource management.
His research interests include data-driven intelligent wireless communications, 6G networks, and sustainable networking technologies. He has published over 300 journal and conference papers, holds 50 domestic and international patents, and has received numerous national and international research awards.
Swades De (Senior Member, IEEE) received the B.Tech. degree in Radiophysics and Electronics from the University of Calcutta in 1993, the M.Tech. degree in Optoelectronics and Optical communication from IIT Delhi in 1998, and the Ph.D. degree in Electrical Engineering from the State University of New York at Buffalo in 2004. Dr. De is currently a Professor with the Department of Electrical Engineering, IIT Delhi. His research interests are broadly in communication networks, with emphasis on performance modeling and analysis. Current directions include resource allocation, energy harvesting, wireless energy transfer, energy sustainable and green communications, spectrum sharing, smart grid networks, and IoT communications.
Dr. De currently serves as an Editor of IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, and IEEE WIRELESS COMMUNICATIONS MAGAZINE.
Ashutosh Balakrishnan (Member, IEEE) received the Ph.D. degree in Electrical Engineering jointly from IIT Delhi, India and NYCU Taiwan, in 2024; and the B.Tech. (Hons.) degree in Electronics and Telecommunication Engineering from NIT Raipur, India, in 2019. He is currently a Maître de Conférences, at the Department of Computer Science and Networks, Télécom Paris, France. Additionally, he is an associate member of LINCS, France, and a visiting researcher at INRIA Paris. His research interests broadly pertain to analytical modeling based system design and performance evaluation of stochastic networks. Current research directions include non-terrestial networks, joint communication & sensing, distributed energy systems, and sustainable network designing for upcoming 6G communications. Dr. Balakrishnan currently serves as an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS.
