Machine Learning for Future Wireless Communications (Hardcover)

Luo, Fa-Long

  • 出版商: Wiley
  • 出版日期: 2020-02-10
  • 售價: $1,960
  • 貴賓價: 9.8$1,921
  • 語言: 英文
  • 頁數: 496
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119562252
  • ISBN-13: 9781119562252
  • 相關分類: Machine LearningWireless-networks
  • 立即出貨 (庫存=1)

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商品描述

A comprehensive review to the theory, application and research of machine learning for future wireless communications

In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities.

Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author - a noted expert on the topic - covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource:

  • Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks
  • Covers a range of topics from architecture and optimization to adaptive resource allocations
  • Reviews state-of-the-art machine learning based solutions for network coverage
  • Includes an overview of the applications of machine learning algorithms in future wireless networks
  • Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing

Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

 

商品描述(中文翻譯)

《機器學習在未來無線通訊中的理論、應用和研究綜述》

在這本書中,《機器學習在未來無線通訊中的理論、應用和研究綜述》提供了一個全面且易於理解的內容,涵蓋了機器學習在無線通訊和網路相關技術方面的理論、應用和最新研究進展。機器學習在無線通訊領域的技術發展迅猛,是相關學術、研究和工業界中最重要的趨勢之一。

基於深度神經網絡的機器學習技術是解決無線通訊和網路中由於容量、覆蓋範圍、延遲、效率靈活性、兼容性、使用體驗和硅收斂等需求增加而帶來的巨大挑戰的有力工具。作者是該領域的知名專家,涵蓋了系統架構和優化、物理層和跨層處理、無線接口和協議設計、波束成型和天線配置、網路編碼和切片、小區獲取和切換、調度和速率適應、無線接入控制、智能主動緩存和自適應資源分配等廣泛的主題。本書獨特地分為三個類別:頻譜智能、傳輸智能和網路智能,內容包括:

- 全面回顧了機器學習在無線通訊和網路中的理論、應用和最新發展
- 涵蓋了從架構和優化到自適應資源分配的各種主題
- 回顧了基於機器學習的網路覆蓋的最新解決方案
- 概述了機器學習算法在未來無線網路中的應用
- 探討了靈活的回程和前程、跨層優化和編碼、全雙工無線電、數字前端(DFE)和射頻(RF)處理等主題

本書共有21章,針對專業工程師、研究人員、科學家、製造商、網路運營商、軟體開發人員和研究生等讀者,由該領域的專家撰寫,提供了對該主題的全面回顧。

作者簡介

FA-LONG LUO, Ph.D, Silicon Valley, California, USA
Dr. Fa-Long Luo is an IEEE Fellow and an Affiliate Full Professor of Electrical & Computer Engineering Department at the University of Washington in Seattle. Having gained international high recognition, Dr. Luo has 36 years of research and industry experience in wireless communication, neural networks, signal processing, machine learning and broadcasting with real-time implementation, applications and standardization. Including his well-received book: Signal Processing for 5G: Algorithms and Implementations (2016, Wiley-IEEE), Dr. Luo has published 6 books and more than 100 technical papers in the related fields. Dr. Luo has also contributed 61 patents/inventions which have successfully resulted in a number of new or improved commercial products in mass production. He has served as the Chairman of IEEE Industry DSP Standing Committee and the Technical Board Member of Signal Processing Society. Dr. Luo was awarded the Fellowship by the Alexander von Humboldt Foundation of Germany.

作者簡介(中文翻譯)

FA-LONG LUO博士,美國加州矽谷
FA-LONG LUO博士是IEEE院士,也是華盛頓大學電機與電腦工程系的兼職教授。他在無線通信、神經網絡、信號處理、機器學習和廣播等領域擁有36年的研究和工業經驗,並在實時實現、應用和標準化方面獲得了國際高度認可。除了他的著作《5G信號處理:算法與實現》(2016年,Wiley-IEEE)廣受好評外,Luo博士還在相關領域發表了6本書籍和100多篇技術論文。Luo博士還貢獻了61項專利/發明,成功地導致了一些新的或改進的商業產品的大規模生產。他曾擔任IEEE工業DSP常設委員會主席和信號處理學會技術委員會成員。Luo博士曾獲得德國亞歷山大·馮·洪堡基金會的獎學金。