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This book includes review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management.This book also includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks and communication networks. It is intended as a reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols for graduate students and researchers in network forensics and optimization, computer science, and engineering.
The chapters have been written and edited by active researchers, whichcover hypotheses and practical considerations; provide insights into the design of evolutionary AI algorithms for 6G networks with focuses on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systemsand their usages in different emerging engineering fields.
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This book includes review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management.This book also includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks and communication networks. It is intended as a reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols for graduate students and researchers in network forensics and optimization, computer science, and engineering.
The chapters have been written and edited by active researchers, whichcover hypotheses and practical considerations; provide insights into the design of evolutionary AI algorithms for 6G networks with focuses on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systemsand their usages in different emerging engineering fields.