000			02014nam a2200229 4500
999			_c19215 _d19215
008			240219b ||||| |||| 00| 0 eng d
020			_a9781119812647
082			_aDC 621.384 _bAi1 2023
245			_aAI-enabled 6G networks and applications / _cedited by Deepak Gupta and three others.
260			_aHoboken, _bNJ : Wiley, _c©2023.
300			_axxii, 154 pages : _billustrations ; _c22 cm.
500			_aIncludes references and index.
520			_a"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, which cover 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 systems and their usages in different emerging engineering fields."-- Provided by publisher.
650			_aMobile communication systems. _948394
650			_aArtificial intelligence. _952713
700			_aGupta, Deepak. _eeditor. _92657
700			_aRagab, Mahmoud _eeditor. _952714
700			_aFouad Mansour, Romany _eeditor. _952715
700			_aKhamparia, Aditya _eeditor. _952716
700			_aKhanna, Ashish _eeditor. _952717
942			_2ddc _cDC