04227nam a22006375i 4500 978-3-319-11668-6 DE-He213 20200702040356.0 cr nn 008mamaa 141015s2014 gw | s |||| 0|eng d 9783319116686 978-3-319-11668-6 10.1007/978-3-319-11668-6 doi QA268 Q350-390 GPJ bicssc COM031000 bisacsh GPJ thema GPF thema 003.54 23 Gao, Feifei. author. aut http://id.loc.gov/vocabulary/relators/aut Channel Estimation for Physical Layer Network Coding Systems [electronic resource] / by Feifei Gao, Chengwen Xing, Gongpu Wang. 1st ed. 2014. Cham : Springer International Publishing : Imprint: Springer, 2014. IX, 80 p. 25 illus., 5 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5768 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. 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. Coding theory. Information theory. Electrical engineering. Signal processing. Image processing. Speech processing systems. Computers. Computer organization. Coding and Information Theory. https://scigraph.springernature.com/ontologies/product-market-codes/I15041 Communications Engineering, Networks. https://scigraph.springernature.com/ontologies/product-market-codes/T24035 Signal, Image and Speech Processing. https://scigraph.springernature.com/ontologies/product-market-codes/T24051 Information Systems and Communication Service. https://scigraph.springernature.com/ontologies/product-market-codes/I18008 Computer Systems Organization and Communication Networks. https://scigraph.springernature.com/ontologies/product-market-codes/I13006 Xing, Chengwen. author. aut http://id.loc.gov/vocabulary/relators/aut Wang, Gongpu. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319116693 Printed edition: 9783319116679 SpringerBriefs in Computer Science, 2191-5768 https://doi.org/10.1007/978-3-319-11668-6 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)