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Channel Estimation for Physical Layer Network Coding Systems

  • Feifei Gao
  • Chengwen Xing
  • Gongpu Wang

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 1-7
  3. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 9-17
  4. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 19-33
  5. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 35-57
  6. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 59-77
  7. Feifei Gao, Chengwen Xing, Gongpu Wang
    Pages 79-80

About this book

Introduction

This SpringerBrief presents channel estimation strategies for the physical later network coding (PLNC) systems. Along with a review of PLNC architectures, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, including frequency flat fading, frequency selective fading and time selective fading, as well as future research directions. Chapters explore the performance of the channel estimation strategy and optimal structure of training sequences for each scenario. Besides the analysis of channel estimation strategies, the book also points out the necessity of revisiting other signal processing issues for the PLNC system. Channel Estimation of Physical Layer Network Coding Systems is a valuable resource for researchers and professionals working in wireless communications and networks. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Keywords

Channel estimation Flat fading Frequency selective Networks Physical layer network coding Time selective Training design Wireless communications

Authors and affiliations

  • Feifei Gao
    • 1
  • Chengwen Xing
    • 2
  • Gongpu Wang
    • 3
  1. 1.School of Information and Science TechnologyTsinghua UniversityBeijingChina
  2. 2.School of Information and ElectronicsBeijing Institute of TechnologyBeijingChina
  3. 3.School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11668-6
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11667-9
  • Online ISBN 978-3-319-11668-6
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site