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Decode-and-forward relaying with quantized channel state feedback: An outage exponent analysis
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2008 (English)In: IEEE Transactions on Information Theory, ISSN 0018-9448, Vol. 54, no 10, 4548-4564 p.Article in journal (Refereed) Published
Abstract [en]

The problem of resource allocation to maximize the outage exponent over a fading relay channel using the decode-and-forward protocol with quantized channel state feedback (CSF) is studied. Three different scenarios are considered: relay-to-source, destination-to-relay, and destination-to-source-and-relay CSF. In the relay-to-source CSF scenario, it is found that using merely one bit of CSF to control the source transmit power is sufficient to achieve the multiantenna upper bound in a range of multiplexing gains. In the destination-to-relay CSF scenario, the systems slightly outperform dynamic decode-and-forward (DDF) at high multiplexing gains, even with only one bit of feedback. Finally, in the destination-to-source-and-relay CSF scenario, if the source-relay channel gain is unknown to the feedback quantizer at the destination, the diversity gain only grows linearly in the number of feedback levels, in sharp contrast to an exponential growth for multiantenna channels. In this last scenario, a simple scheme is shown to perform close to the corresponding upper bound.

Place, publisher, year, edition, pages
2008. Vol. 54, no 10, 4548-4564 p.
Keyword [en]
cooperative communications, diversity methods, diversity-multiplexing tradeoff, fading channels, large-deviation analysis, power control, relay channels
National Category
URN: urn:nbn:se:kth:diva-28964DOI: 10.1109/TIT.2008.928978ISI: 000259407000010ScopusID: 2-s2.0-54649084400OAI: diva2:398527
IEEE Information Theory Workshop Tahoe City, CA, SEP 02-06, 2007
QC 20110218 IEEE Information Theory Workshop Location: Tahoe City, CA Date: SEP 02-06, 2007 Available from: 2011-02-18 Created: 2011-01-25 Last updated: 2011-12-14Bibliographically approved

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