Channel estimation for PLNC under frequency selective fading scenario

Feifei Gao*, Chengwen Xing, Gongpu Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we consider the channel estimation for PLNC under the more general frequency selective scenario, where orthogonal-frequency-division multiplexing (OFDM) is adopted for data transmission. We propose a two-phase training protocol, which is compatible with the two-phase data transmission, and thus the training block can be embedded into the data frame. Specifically, we design two different types of training methods: (i) block based training, for which we first estimate the cascaded source-relay-source channels, and then recover the individual channels between sources and relay; (ii) pilot-tone (PT) based training, 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.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages35-57
Number of pages23
Edition9783319116679
DOIs
Publication statusPublished - 2014

Publication series

NameSpringerBriefs in Computer Science
Number9783319116679
Volume0
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

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