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Free probability based capacity calculation of multiantenna Gaussian fading channels with cochannel interference
Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2011 (English)In: Physical Communication, ISSN 1874-4907, Vol. 4, no 3, 206-217 p.Article in journal (Refereed) Published
Abstract [en]

During the last decade, it has been well understood that communication over multiple antennas can increase linearly the multiplexing capacity gain and provide large spectral efficiency improvements. However, the majority of studies in this area were carried out ignoring cochannel interference. Only a small number of investigations have considered cochannel interference, but even therein simple channel models were employed, assuming identically distributed fading coefficients. In this paper, a generic model for a multiantenna channel is presented incorporating four impairments, namely additive white Gaussian noise, flat fading, path loss and cochannel interference. Both point-to-point and multiple-access MIMO channels are considered, including the case of cooperating Base Station clusters. The asymptotic capacity limit of this channel is calculated based on an asymptotic free probability approach which exploits the additive and multiplicative free convolution in the R- and S-transform domains, respectively, as well as properties of the η and Stieltjes transform. Numerical results are utilized to verify the accuracy of the derived closed-form expressions and evaluate the effect of the cochannel interference.

Place, publisher, year, edition, pages
Elsevier B.V. , 2011. Vol. 4, no 3, 206-217 p.
Keyword [en]
Information theory; Information rates; Multiuser channels; MIMO systems; Cochannel Interference; Land mobile radio cellular systems; Eigenvalues and eigenfunctions; Free probability theory
National Category
URN: urn:nbn:se:kth:diva-48972DOI: 10.1016/j.phycom.2011.03.004ScopusID: 2-s2.0-80052873845OAI: diva2:459038
QC 20111129Available from: 2011-11-24 Created: 2011-11-24 Last updated: 2011-11-29Bibliographically approved

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Ottersten, Björn
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Signal ProcessingACCESS Linnaeus Centre

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