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AI-enabled 6G networks and applications / edited by Deepak Gupta and three others.

Contributor(s): Material type: TextTextPublication details: Hoboken, NJ : Wiley, ©2023.Description: xxii, 154 pages : illustrations ; 22 cmISBN:
  • 9781119812647
Subject(s): DDC classification:
  • DC 621.384 Ai1 2023
Summary: "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.
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Item type Current library Collection Call number Status Date due Barcode
Circulation Circulation UM Digos College - LIC Circulation DC 621.384 Ai1 2023 (Browse shelf(Opens below)) Available 27883

Includes references and index.

"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.

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