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Information theory, mathematical optimization, and their crossroads in 6G system design

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information theory, mathematical optimization, and their crossroads in 6G system designby Shih-Chun Lin ... [et al.].
other author:	Lin, Shih-Chun.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xv, 395 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Wireless communication systems.
Online resource:	https://doi.org/10.1007/978-981-19-2016-5
ISBN:	9789811920165$q(electronic bk.)

Information theory, mathematical optimization, and their crossroads in 6G system design
Information theory, mathematical optimization, and their crossroads in 6G system design[electronic resource] /by Shih-Chun Lin ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 395 p. :ill. (some col.), digital ;24 cm. - Springer series in wireless technology,2365-4147. - Springer series in wireless technology..

Chapter 1 - Information Theory in Centralized Wireless Network -- Chapter 2 - Information Theory in Distributed Wireless Network -- Chapter 3 - Centralized and Distributed Detection -- Chapter 4 - Centralized Mathematical Optimization -- Chapter 5 - Distributed Mathematical Optimization -- Chapter 6 - Applications: Resource allocation for human-centric 6G cellular network -- Chapter 7 - Applications: Low Latency Communications in 6G -- Chapter 8 - Applications in AIoT : Federated distributed learning for edge IoT -- Chapter 9 - Applications in AIoT : IoT Security and Secrecy.

This book provides a broad understanding of the fundamental tools and methods from information theory and mathematical programming, as well as specific applications in 6G and beyond system designs. The contents focus on not only both theories but also their intersection in 6G. Motivations are from the multitude of new developments which will arise once 6G systems integrate new communication networks with AIoT (Artificial Intelligence plus Internet of Things) Design issues such as the intermittent connectivity, low latency, federated learning, IoT security, etc., are covered. This monograph provides a thorough picture of new results from information and optimization theories, as well as how their dialogues work to solve aforementioned 6G design issues.

ISBN: 9789811920165$q(electronic bk.)

Standard No.: 10.1007/978-981-19-2016-5doiSubjects--Topical Terms:

182744
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.384

Information theory, mathematical optimization, and their crossroads in 6G system design
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245 0 0 $a Information theory, mathematical optimization, and their crossroads in 6G system design $h [electronic resource] / $c by Shih-Chun Lin ... [et al.].
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300 $a xv, 395 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in wireless technology, $x 2365-4147
505 0 $a Chapter 1 - Information Theory in Centralized Wireless Network -- Chapter 2 - Information Theory in Distributed Wireless Network -- Chapter 3 - Centralized and Distributed Detection -- Chapter 4 - Centralized Mathematical Optimization -- Chapter 5 - Distributed Mathematical Optimization -- Chapter 6 - Applications: Resource allocation for human-centric 6G cellular network -- Chapter 7 - Applications: Low Latency Communications in 6G -- Chapter 8 - Applications in AIoT : Federated distributed learning for edge IoT -- Chapter 9 - Applications in AIoT : IoT Security and Secrecy.
520 $a This book provides a broad understanding of the fundamental tools and methods from information theory and mathematical programming, as well as specific applications in 6G and beyond system designs. The contents focus on not only both theories but also their intersection in 6G. Motivations are from the multitude of new developments which will arise once 6G systems integrate new communication networks with AIoT (Artificial Intelligence plus Internet of Things) Design issues such as the intermittent connectivity, low latency, federated learning, IoT security, etc., are covered. This monograph provides a thorough picture of new results from information and optimization theories, as well as how their dialogues work to solve aforementioned 6G design issues.
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