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Channel Estimation for Physical Layer Network Coding Systems
Gao, Feifei; Xing, Chengwen; Wang, Gongpu
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Description for Channel Estimation for Physical Layer Network Coding Systems
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 89 pages, 20 black & white illustrations, 5 colour illustrations, biography. BIC Classification: GPJ; TJK; TTBM; UT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 156.
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, ... Read more
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, ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
89
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
80
Place of Publication
Cham, Switzerland
ISBN
9783319116679
SKU
V9783319116679
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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