Titlebook: Channel Estimation for Physical Layer Network Coding Systems; Feifei Gao,Chengwen Xing,Gongpu Wang Book 2014 The Author(s) 2014 Channel es

GROWL

Fundamentals of Physical Layer Network Coding,ng (PLNC) is discussed in more detail and understood from three different viewpoints. This way reveals the relationships among PLNC and several existing transmission schemes, which are helpful for us to exploit the performance advantages promised by PLNC.

maverick

Channel Estimation for PLNC Under Frequency Selective Fading Scenario,ining, for which we directly estimate the individual channels between sources and relay. Importantly, the identifiability of the channel estimation in both types of the training schemes are fully addressed. Finally, various numerical examples are presented to corroborate our analytical results.

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2191-5768 ems. 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 stra

moribund

愛哭

abduction

倔強(qiáng)一點(diǎn)

Herd-Immunity

Channel Estimation for Physical Layer Network Coding Systems978-3-319-11668-6Series ISSN 2191-5768 Series E-ISSN 2191-5776

Optimum

https://doi.org/10.1007/978-981-10-6775-4al research and wide-spread applications, just like its original butterfly network topology, network coding metamorphoses from a complex and abstruse theory to a widely accepted and natural choice for wireless designs. The mystery and nature behind network coding become more and more attractive and