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Finite-SNR Analysis and Optimization of Decode-and-Forward Relaying Over Slow-Fading Channels
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2009 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 58, no 8, 4292-4305 p.Article in journal (Refereed) Published
Abstract [en]

We provide analytical results on the finite signal-to-noise ratio (SNR) outage performance of packet-based decode-and-forward relaying over a quasi-static fading channel, with different types of transmitter channel state information (CSI). At the relay, we consider repetition coding (RC) and parallel coding (PC). At the destination, we consider receivers based on selection combining (SC), code combining (CC), and maximum-ratio combining (MRC) (the latter only for the case of RC at the relay). Based on available CSI, we optimize the number of channel uses consumed by the source and by the relay for each packet. In doing so, we consider three different protocols that make use of different combinations of long-term CSI, 1-bit CSI, and complete CSI, respectively, at the source node. Several interesting observations emerge. For example, we show that for high SNRs, SC and CC provide the same outage probabilities when the source has perfect CSI.

Place, publisher, year, edition, pages
2009. Vol. 58, no 8, 4292-4305 p.
Keyword [en]
Block length optimization, channel state information (CSI), combining techniques, cooperative communications, decode-and-forward (DF), relay channel
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
URN: urn:nbn:se:kth:diva-32485DOI: 10.1109/TVT.2009.2020501ISI: 000270547800040ScopusID: 2-s2.0-70350234527OAI: diva2:410909
Swedish Research CouncilKnut and Alice Wallenberg Foundation
QC 20110415Available from: 2011-04-15 Created: 2011-04-15 Last updated: 2011-04-15Bibliographically approved

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Khormuji, Majid Nasiri
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Communication TheoryACCESS Linnaeus Centre
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