9783319116679-3319116673-Channel Estimation for Physical Layer Network Coding Systems (SpringerBriefs in Computer Science)

Channel Estimation for Physical Layer Network Coding Systems (SpringerBriefs in Computer Science)

ISBN-13: 9783319116679
ISBN-10: 3319116673
Edition: 2014
Author: Feifei Gao, Chengwen Xing, Gongpu Wang
Publication date: 2014
Publisher: Springer
Format: Paperback 89 pages
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Book details

ISBN-13: 9783319116679
ISBN-10: 3319116673
Edition: 2014
Author: Feifei Gao, Chengwen Xing, Gongpu Wang
Publication date: 2014
Publisher: Springer
Format: Paperback 89 pages

Summary

Channel Estimation for Physical Layer Network Coding Systems (SpringerBriefs in Computer Science) (ISBN-13: 9783319116679 and ISBN-10: 3319116673), written by authors Feifei Gao, Chengwen Xing, Gongpu Wang, was published by Springer in 2014. With an overall rating of 4.4 stars, it's a notable title among other Information Theory (Computer Science, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Internet & Social Media, Telecommunications & Sensors, Engineering) books. You can easily purchase or rent Channel Estimation for Physical Layer Network Coding Systems (SpringerBriefs in Computer Science) (Paperback) from BooksRun, along with many other new and used Information Theory books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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