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Deep reinforcement learning for wireless communications and networking (Record no. 567175)

MARC details
000 -LEADER
fixed length control field 02743 a2200265 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119873679
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.384
Item number D36
245 ## - TITLE STATEMENT
Title Deep reinforcement learning for wireless communications and networking
Remainder of title theory, applications and implementation
Statement of responsibility, etc Dinh Thai Hoang ...[et al.]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher John Wiley
Year of publication 2023
Place of publication Hoboken
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxii, 264p
520 ## - SUMMARY, ETC.
Summary, etc Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking.<br/><br/>Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design.<br/><br/>Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as:<br/><br/>Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning<br/>Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security<br/>Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association<br/>Network layer applications, covering traffic routing, network classification, and network slicing<br/>With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Reinforcement learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Deep learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Wireless communication
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer networks
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hoang, Dinh Thai
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Huynh, Nguyen Van
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nguyen, Diep N.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hossain, Ekram
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Niyato, Dusit
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 30/09/2024 2 9063.24 621.384 D36 A186482 11329.05 Books

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