Mean Field Game and Its Applications in Wireless Networks
Banez, Reginald A., Li, Lixin, Yang, Chungang
- 出版商: Springer
- 出版日期: 2022-11-01
- 售價: $5,540
- 貴賓價: 9.5 折 $5,263
- 語言: 英文
- 頁數: 178
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030869075
- ISBN-13: 9783030869076
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相關分類:
Wireless-networks
海外代購書籍(需單獨結帳)
商品描述
This book covers the basic theory of mean field game (MFG) and its applications in wireless networks. It starts with an overview of the current and future state-of-the-art in 5G and 6G wireless networks. Then, a tutorial is presented for MFG, mean-field-type game (MFTG), and prerequisite fields of study such as optimal control theory and differential games. This book also includes a literature survey of MFG-based research in wireless network technologies such as ultra-dense networks (UDNs), device-to-device (D2D) communications, internet-of-things (IoT), unmanned aerial vehicles (UAVs), and mobile edge networks (MENs). Several applications of MFG and MFTG in UDNs, social networks, and multi-access edge computing networks (MECNs) are introduced as well.
Applications of MFG covered in this book are divided in three parts. The first part covers three single-population MFG research works or case studies in UDNs including ultra-dense D2D networks, ultra-dense UAV networks, and dense-user MECNs. The second part centers on a multiple-population MFG (MPMFG) modeling of belief and opinion evolution in social networks. It focuses on a recently developed MPMFG framework and its application in analyzing the behavior of users in a multiple-population social network. Finally, the last part concentrates on an MFTG approach to computation offloading in MECN. The computation offloading algorithms are designed for energy- and time-efficient offloading of computation-intensive tasks in an MECN.
This book targets advanced-level students, professors, researchers, scientists, and engineers in the fields of communications and networks. Industry managers and government employees working in these same fields will also find this book useful.
Applications of MFG covered in this book are divided in three parts. The first part covers three single-population MFG research works or case studies in UDNs including ultra-dense D2D networks, ultra-dense UAV networks, and dense-user MECNs. The second part centers on a multiple-population MFG (MPMFG) modeling of belief and opinion evolution in social networks. It focuses on a recently developed MPMFG framework and its application in analyzing the behavior of users in a multiple-population social network. Finally, the last part concentrates on an MFTG approach to computation offloading in MECN. The computation offloading algorithms are designed for energy- and time-efficient offloading of computation-intensive tasks in an MECN.
This book targets advanced-level students, professors, researchers, scientists, and engineers in the fields of communications and networks. Industry managers and government employees working in these same fields will also find this book useful.
商品描述(中文翻譯)
本書介紹了均勻場博弈（MFG）的基本理論及其在無線網絡中的應用。首先，概述了5G和6G無線網絡的現狀和未來發展。然後，介紹了MFG、均勻場型博弈（MFTG）以及最優控制理論和微分博弈等先修學科的教程。本書還包括了基於MFG的無線網絡技術研究的文獻綜述，如超密集網絡（UDNs）、設備對設備（D2D）通信、物聯網（IoT）、無人機（UAV）和移動邊緣網絡（MENs）。同時還介紹了MFG和MFTG在UDNs、社交網絡和多接入邊緣計算網絡（MECNs）中的幾個應用。
本書中介紹的MFG應用分為三個部分。第一部分介紹了UDNs中三個單一人口MFG研究工作或案例研究，包括超密集D2D網絡、超密集UAV網絡和密集用戶MECN。第二部分聚焦於社交網絡中信念和觀點演化的多人口MFG（MPMFG）建模。重點介紹了最近發展的MPMFG框架及其在分析多人口社交網絡中用戶行為方面的應用。最後，最後一部分集中於MECN中的計算卸載的MFTG方法。計算卸載算法旨在實現MECN中計算密集任務的節能和高效卸載。
本書的目標讀者包括高級學生、教授、研究人員、科學家和通信網絡領域的工程師。同樣在這些領域工作的行業經理和政府雇員也會發現本書有用。
