Channel Estimation for Physical Layer Network Coding Systems

Feifei Gao (u. a.)

ISBN 10: 3319116673 / ISBN 13: 9783319116679

Published by Springer, 2014

About this Item

Channel Estimation for Physical Layer Network Coding Systems | Feifei Gao (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | ix | Englisch | 2014 | Springer | EAN 9783319116679 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105123818

Bibliographic Details

• Title: Channel Estimation for Physical Layer Network Coding Systems
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 3319116673
• ISBN 13: 9783319116679
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 6D millimeters 235 millimeters width by 155 millimeters height by 6 millimeters depth
• Weight: 154 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.