Machine Learning for Future Wireless Communications (Hardcover)
暫譯: 未來無線通信的機器學習 (精裝版)

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)

未來無線通信的機器學習理論、應用與研究的綜合評述

在這本單一卷冊中,未來無線通信的機器學習 提供了對於與無線通信和網絡相關的機器學習技術的理論、應用及當前研究發展的全面且易於理解的探討。機器學習在無線通信中的技術發展迅速增長,並且是相關學術、研究和產業界最大的趨勢之一。

基於深度神經網絡的機器學習技術是一個有前景的工具,能夠應對無線通信和網絡中因容量、覆蓋範圍、延遲、效率靈活性、相容性、使用體驗質量及矽晶融合等需求日益增加所帶來的重大挑戰。作者是一位該領域的知名專家,涵蓋了包括系統架構與優化、物理層與跨層處理、空中介面與協議設計、波束成形與天線配置、網絡編碼與切片、基站獲取與切換、排程與速率調整、無線接入控制、智能主動快取及自適應資源分配等廣泛主題。這本重要資源獨特地分為三個類別:頻譜智能、傳輸智能和網絡智能:


  • 提供了機器學習在無線通信和網絡中的理論、應用及當前發展的全面評述

  • 涵蓋了從架構與優化到自適應資源分配的一系列主題

  • 回顧了基於機器學習的最新網絡覆蓋解決方案

  • 包括機器學習算法在未來無線網絡中的應用概述

  • 探討靈活的回程和前程、跨層優化與編碼、全雙工無線、數位前端(DFE)及無線頻率(RF)處理

未來無線通信的機器學習 為專業工程師、研究人員、科學家、製造商、網絡運營商、軟體開發者及研究生撰寫,並在21章中提供了該主題的全面評述,作者為該領域的專家。

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, Ph.D, 矽谷,加州,美國**
羅發龍博士是IEEE Fellow,並擔任華盛頓大學西雅圖校區電機與計算機工程系的兼任全職教授。羅博士在無線通信、神經網絡、信號處理、機器學習和廣播等領域擁有36年的研究和產業經驗,並在實時實施、應用和標準化方面獲得國際高度認可。羅博士出版了6本書籍,包括其廣受好評的著作《Signal Processing for 5G: Algorithms and Implementations》(2016年,Wiley-IEEE),以及在相關領域發表了超過100篇技術論文。羅博士還貢獻了61項專利/發明,成功促成多項新產品或改良產品的量產。他曾擔任IEEE產業數位信號處理常設委員會主席及信號處理學會技術委員會成員。羅博士獲得德國亞歷山大·馮·洪堡基金會的獎學金。

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