Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design (Springer Series in Wireless Technology)

Lin, Shih-Chun/ Chang, Tsung-Hui/ Jorswieck, Eduard

Springer Verlag, Singapore（2022/09発売）

• 製本 Hardcover:ハードカバー版／ページ数 395 p.
• 言語 ENG
• 商品コード 9789811920158

Full Description

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.

Contents

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.