04860nam 22008655 450 991029899040332120200702040356.03-319-11668-110.1007/978-3-319-11668-6(CKB)3710000000262037(EBL)1966888(OCoLC)896837588(SSID)ssj0001372344(PQKBManifestationID)11718118(PQKBTitleCode)TC0001372344(PQKBWorkID)11302393(PQKB)10223541(MiAaPQ)EBC1966888(DE-He213)978-3-319-11668-6(PPN)182095436(EXLCZ)99371000000026203720141015d2014 u| 0engur|n|---|||||txtccrChannel Estimation for Physical Layer Network Coding Systems /by Feifei Gao, Chengwen Xing, Gongpu Wang1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (85 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.3-319-11667-3 Includes bibliographical references at the end of each chapters.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.SpringerBriefs in Computer Science,2191-5768Coding theoryInformation theoryElectrical engineeringSignal processingImage processingSpeech processing systemsComputersComputer organizationCoding and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15041Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Computer Systems Organization and Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13006Coding theory.Information theory.Electrical engineering.Signal processing.Image processing.Speech processing systems.Computers.Computer organization.Coding and Information Theory.Communications Engineering, Networks.Signal, Image and Speech Processing.Information Systems and Communication Service.Computer Systems Organization and Communication Networks.004.6Gao Feifeiauthttp://id.loc.gov/vocabulary/relators/aut995786Xing Chengwenauthttp://id.loc.gov/vocabulary/relators/autWang Gongpuauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910298990403321Channel Estimation for Physical Layer Network Coding Systems2281737UNINA