Mean Field Game and Its Applications in Wireless Networks
暫譯: 均場遊戲及其在無線網路中的應用

Banez, Reginald A., Li, Lixin, Yang, Chungang

  • 出版商: Springer
  • 出版日期: 2022-11-01
  • 售價: $5,640
  • 貴賓價: 9.5$5,358
  • 語言: 英文
  • 頁數: 178
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030869075
  • ISBN-13: 9783030869076
  • 相關分類: Wireless-networks
  • 海外代購書籍(需單獨結帳)

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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.

商品描述(中文翻譯)

本書涵蓋了均場博弈(mean field game, MFG)的基本理論及其在無線網絡中的應用。首先,書中概述了5G和6G無線網絡的當前及未來最先進技術。接著,提供了MFG、均場型博弈(mean-field-type game, MFTG)及其先決學科的教程,例如最優控制理論和微分博弈。本書還包括了基於MFG的無線網絡技術研究文獻調查,涵蓋超密集網絡(ultra-dense networks, UDNs)、設備對設備(device-to-device, D2D)通信、物聯網(internet-of-things, IoT)、無人機(unmanned aerial vehicles, UAVs)和移動邊緣網絡(mobile edge networks, MENs)。此外,還介紹了MFG和MFTG在UDNs、社交網絡和多接入邊緣計算網絡(multi-access edge computing networks, MECNs)中的幾個應用。

本書中涵蓋的MFG應用分為三個部分。第一部分介紹了三個單一族群MFG的研究工作或案例研究,這些研究集中在超密集D2D網絡、超密集UAV網絡和密集用戶MECNs。第二部分則專注於社交網絡中信念和意見演變的多族群MFG(multiple-population MFG, MPMFG)建模,重點在於最近開發的MPMFG框架及其在分析多族群社交網絡中用戶行為的應用。最後,第三部分集中於MECN中計算卸載的MFTG方法,計算卸載算法旨在實現計算密集型任務在MECN中的能源和時間高效卸載。

本書的目標讀者為通信和網絡領域的高級學生、教授、研究人員、科學家和工程師。從事這些領域的行業經理和政府員工也會發現本書的實用性。