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Signal Processing Approaches to Secure Physical Layer Communications in Multi-Antenna Wireless Systems

  • Book
  • © 2014

Overview

Authors:
  1. Y.-W. Peter Hong

    1. National Tsing Hua University, Hsinchu, Taiwan

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  2. Pang-Chang Lan

    1. University of Southern California, Los Angeles, USA

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    You can also search for this author in PubMed   Google Scholar

  3. C.-C. Jay Kuo

    1. Department of Electrical Engineering, University of Southern California, Los Angeles, USA

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  • Provide a novel and more practical view of the problem, as opposed to conventional information-theoretic works
  • The organized and systematic introduction broadens the readers’ perspective and can trigger new ideas for further research
  • Written by experts in the field

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 1-9

  3. Background on Information-Theoretic Physical Layer Secrecy

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 11-28

  4. Secrecy Precoding and Beamforming in Multi-Antenna Wireless Systems

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 29-60

  5. Distributed Secrecy Beamforming and Precoding in Multi-Antenna Wireless Relay Systems

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 61-95

  6. Secrecy-Enhancing Channel Estimation in Multi-Antenna Wireless Systems

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 97-123

  7. Enhancing Physical-Layer Secrecy in Modern Wireless Communication Systems

    • Y.-W. Peter Hong, Pang-Chang Lan, C.-C. Jay Kuo
    Pages 125-132

  8. Back Matter

    Pages 133-135
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Keywords

About this book

This book introduces various signal processing approaches to enhance physical layer secrecy in multi-antenna wireless systems. Wireless physical layer secrecy has attracted much attention in recent years due to the broadcast nature of the wireless medium and its inherent vulnerability to eavesdropping. While most articles on physical layer secrecy focus on the information-theoretic aspect, we focus specifically on the signal processing aspects, including beamforming and precoding techniques for data transmission and discriminatory training schemes for channel estimation. The discussions will cover cases with collocated and with distributed antennas, i.e., relays. The topics covered will be of interest to researchers in the signal processing community as well to practitioners and engineers working in this area. This book will also review recent works that apply these signal processing approaches to more advanced wireless systems, such as OFDM systems, multicell systems, cognitive radio, multihop networks etc. This will draw interest from researchers that wish to pursue the topic further in these new directions.
This book is divided into three parts: (i) data transmission, (ii) channel estimation and (iii) advanced applications. Even though many works exist in the literature on these topics, the approaches and perspectives taken were largely diverse. This book provides a more organized and systematic view of these designs and to lay a solid foundation for future work in these areas. Moreover, by presenting the work from a signal processing perspective, this book will also trigger more research interest from the signal processing community and further advance the field of physical layer secrecy along the described directions.
This book allows readers to gain basic understanding of works on physical layer secrecy, knowledge of how signal processing techniques can be applied to this area, and the application of these techniques in advanced wireless applications.

Authors and Affiliations

  • National Tsing Hua University, Hsinchu, Taiwan

    Y.-W. Peter Hong

  • University of Southern California, Los Angeles, USA

    Pang-Chang Lan

  • Department of Electrical Engineering, University of Southern California, Los Angeles, USA

    C.-C. Jay Kuo

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