TY  - BOOK
AU  - Gao,Feifei
AU  - Xing,Chengwen
AU  - Wang,Gongpu
ED  - SpringerLink (Online service)
TI  - Channel Estimation for Physical Layer Network Coding Systems
T2  - SpringerBriefs in Computer Science,
SN  - 9783319116686
AV  - QA268 
U1  - 003.54 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer Science
KW  - Computer network architectures
KW  - Coding theory
KW  - Information systems
KW  - Telecommunication
KW  - Coding and Information Theory
KW  - Communications Engineering, Networks
KW  - Signal, Image and Speech Processing
KW  - Information Systems and Communication Service
KW  - Computer Systems Organization and Communication Networks
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-11668-6
ER  -