Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation (Hardcover)
暫譯: 無線通信與網絡的深度強化學習：理論、應用與實現（精裝版）

Hoang, Dinh Thai, Huynh, Nguyen Van, Nguyen, Diep N.

Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2023-07-25
  • 定價: $4,650
  • 售價: 9.5 折 $4,418
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119873673
  • ISBN-13: 9781119873679
  • 相關分類: Reinforcement、DeepLearning、Wireless-networks

    • 立即出貨 (庫存=1)

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商品描述

Deep Reinforcement Learning for Wireless Communications and Networking

Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems

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.

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.

Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as:

  • Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning
  • Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security
  • Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association
  • Network layer applications, covering traffic routing, network classification, and network slicing

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.

商品描述(中文翻譯)

**深度強化學習在無線通信與網絡中的應用**

**全面指南：深度強化學習（DRL）在無線通信系統中的應用**

《深度強化學習在無線通信與網絡中的應用》概述了DRL的發展，同時提供有關理論、公式、設計、學習模型、算法和DRL實施的基本知識，並附有特定案例研究以供實踐。該書還涵蓋了DRL在解決無線網絡中各種問題（如緩存、卸載、資源共享和安全性）方面的多樣應用。作者通過介紹一些先進的DRL方法來討論無線通信和網絡中出現的開放性問題。

本書涵蓋了DRL的新進階模型，例如深度對抗架構和生成對抗網絡，以及在無線網絡中考慮的出現問題，例如環境反向散射通信、智能反射表面和邊緣智能。這是第一本全面研究DRL在無線網絡應用的書籍，展示了架構、協議和應用設計的最新研究成果。

《深度強化學習在無線通信與網絡中的應用》涵蓋了以下特定主題：

- 深度強化學習模型，包括深度學習、深度強化學習及其模型
- 物理層應用，包括信號檢測、解碼、波束成形、功率和速率控制，以及物理層安全性
- 媒介存取控制（MAC）層應用，包括資源分配、通道存取和用戶/小區關聯
- 網絡層應用，包括流量路由、網絡分類和網絡切片

《深度強化學習在無線通信與網絡中的應用》全面涵蓋了一項令人興奮且值得注意的新技術，是研究人員和通信工程師，以及希望在實際應用中利用這項技術的自主系統開發者和企業家的重要學習資源。

作者簡介

Dinh Thai Hoang, Ph.D., is a faculty member at the University of Technology Sydney, Australia. He is also an Associate Editor of IEEE Communications Surveys & Tutorials and an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Cognitive Communications and Networking, and IEEE Transactions on Vehicular Technology.

Nguyen Van Huynh, Ph.D., obtained his Ph.D. from the University of Technology Sydney in 2022. He is currently a Research Associate in the Department of Electrical and Electronic Engineering, Imperial College London, UK.

Diep N. Nguyen, Ph.D., is Director of Agile Communications and Computing Group and a member of the Faculty of Engineering and Information Technology at the University of Technology Sydney, Australia.

Ekram Hossain, Ph.D., is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, Canada, and a Fellow of the IEEE. He co-authored the Wiley title Radio Resource Management in Multi-Tier Cellular Wireless Networks (2013).

Dusit Niyato, Ph.D., is a Professor in the School of Computer Science and Engineering at Nanyang Technological University, Singapore. He co-authored the Wiley title Radio Resource Management in Multi-Tier Cellular Wireless Networks (2013).

作者簡介(中文翻譯)

Dinh Thai Hoang 博士 是澳洲悉尼科技大學的教職員。他同時擔任 IEEE Communications Surveys & Tutorials 的副編輯，以及 IEEE Transactions on Wireless Communications、IEEE Transactions on Cognitive Communications and Networking 和 IEEE Transactions on Vehicular Technology 的編輯。

Nguyen Van Huynh 博士 於2022年在悉尼科技大學獲得博士學位。他目前是英國倫敦帝國學院電氣與電子工程系的研究助理。

Diep N. Nguyen 博士 是澳洲悉尼科技大學敏捷通信與計算組的主任，並且是工程與資訊科技學院的成員。

Ekram Hossain 博士 是加拿大曼尼托巴大學電氣與計算機工程系的教授，並且是IEEE的會士。他共同撰寫了Wiley出版的書籍 Radio Resource Management in Multi-Tier Cellular Wireless Networks（2013年）。

Dusit Niyato 博士 是新加坡南洋理工大學計算機科學與工程學院的教授。他共同撰寫了Wiley出版的書籍 Radio Resource Management in Multi-Tier Cellular Wireless Networks（2013年）。

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