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Effect of error in CSI on the capacity of Rayleigh fading channels with QAM signalling and the design of robust signal constellations
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (Radio Communication Systems)ORCID iD: 0000-0001-9697-9978
2007 (English)In: IET Communications, ISSN 1751-8636, Vol. 1, no 6, 1118-1125 p.Article in journal (Refereed) Published
Abstract [en]

The effects of channel estimation errors on the channel capacity of a discrete time, discrete input, infinite output Rayleigh fading channel are investigated. The case of conventional modulation methods such as phase shift keying (PSK) and quatrature amplitude modulation (QAM) is investigated at first where it was observed that the capacity degrades rapidly with increasing channel estimation errors. The effect of error in the channel estimation is similar to the effect of higher noise in the channel that depends on the transmitted signal. A genetic algorithm is used to optimise the signal constellation in order to maximise the capacity for a given finite number of signal points. The aim of trying to maximise the capacity is to estimate the remaining gap in performance between a traditional modulation scheme such as QAM and the best possible constellation that is optimised for the channel. The constellations obtained from the genetic algorithm are, in general, not directly implementable. A method to design practical robust signal constellations that overcome the effect of channel state information (CSI) error is presented. The robust signal constellations obtained show a performance that is very close to the optimal constellations. In this work, the probability distribution of the error in CSI is assumed to be known.

Place, publisher, year, edition, pages
2007. Vol. 1, no 6, 1118-1125 p.
National Category
Computer and Information Science
Research subject
URN: urn:nbn:se:kth:diva-30593DOI: 10.1049/iet-com:20060185ISI: 000253418300005ScopusID: 2-s2.0-37849000548OAI: diva2:400897
QC 20110302Available from: 2011-02-28 Created: 2011-02-28 Last updated: 2011-11-29Bibliographically approved

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al-Askary, OmarBen Slimane, Slimane
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