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

Autor Feifei Gao, Chengwen Xing, Gongpu Wang
en Limba Engleză Paperback – 29 oct 2014
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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Specificații

ISBN-13: 9783319116679
ISBN-10: 3319116673
Pagini: 80
Ilustrații: IX, 80 p. 25 illus., 5 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.14 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Fundamentals of Physical Layer Network Coding.- Background on Channel Estimation.- Channel Estimation for PLNC under Frequency Flat Fading Scenarios.- Channel Estimation for PLNC under Frequency Selective Fading Scenarios.- Channel Estimation for PLNC under Time-Selective Fading Scenarios.- Conclusions and Future Directions.

Caracteristici

Includes supplementary material: sn.pub/extras