Channel Estimation for Physical Layer Network Coding Systems

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Last edited by MARC Bot
August 8, 2024 | History

Channel Estimation for Physical Layer Network Coding Systems

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.

Publish Date
Publisher
Springer
Pages
92

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Edition Availability
Cover of: Channel Estimation for Physical Layer Network Coding Systems
Channel Estimation for Physical Layer Network Coding Systems
Oct 16, 2014, Springer
paperback
Cover of: Channel Estimation for Physical Layer Network Coding Systems
Channel Estimation for Physical Layer Network Coding Systems
2014, Springer London, Limited
in English

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Book Details


Edition Notes

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

Classifications

Library of Congress
QA75.5-76.95, QA268

The Physical Object

Format
paperback
Number of pages
92

Edition Identifiers

Open Library
OL28260109M
ISBN 10
3319116673
ISBN 13
9783319116679

Work Identifiers

Work ID
OL20869621W

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August 8, 2024 Edited by MARC Bot import existing book
January 14, 2023 Edited by ImportBot import existing book
October 5, 2021 Edited by ImportBot import existing book
June 16, 2020 Created by ImportBot Imported from amazon.com record