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Simple and Accurate Error Probability Evaluation of Multiple-Input–Multiple-Output Systems Using Optimum Linear Combining

Simple and Accurate Error Probability Evaluation of Multiple-Input–Multiple-Output Systems Using Optimum Linear Combining
Simple and Accurate Error Probability Evaluation of Multiple-Input–Multiple-Output Systems Using Optimum Linear Combining
This correspondence motivates simple and accurate evaluation of the error probability of multiantenna multiple-input–multipleoutput (MIMO) systems using optimum linear combining (OLC). Using both the first- and second-order statistics of the eigenvalues involved, we propose an Order-2 approximation approach (i.e., Gammaapproximation), which approximates the related eigenvalues as independent gamma-distributed random variables. Our analysis shows that the proposed Order-2 approximation results in simple formulas that are convenient to evaluate. The performance examples show that the error probability evaluated using the derived formulas is accurate and usually indistinguishable from that obtained by simulations.
0018-9545
2098-2103
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Yang, Wei
bc603ec9-d646-46ae-ab12-a1aed3aea245
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Yang, Wei
bc603ec9-d646-46ae-ab12-a1aed3aea245

Yang, Lie-Liang and Yang, Wei (2010) Simple and Accurate Error Probability Evaluation of Multiple-Input–Multiple-Output Systems Using Optimum Linear Combining. IEEE Transactions on Vehicular Technology, 59 (4), 2098-2103.

Record type: Article

Abstract

This correspondence motivates simple and accurate evaluation of the error probability of multiantenna multiple-input–multipleoutput (MIMO) systems using optimum linear combining (OLC). Using both the first- and second-order statistics of the eigenvalues involved, we propose an Order-2 approximation approach (i.e., Gammaapproximation), which approximates the related eigenvalues as independent gamma-distributed random variables. Our analysis shows that the proposed Order-2 approximation results in simple formulas that are convenient to evaluate. The performance examples show that the error probability evaluated using the derived formulas is accurate and usually indistinguishable from that obtained by simulations.

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Published date: May 2010
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272642
URI: http://eprints.soton.ac.uk/id/eprint/272642
ISSN: 0018-9545
PURE UUID: 2a77fa3d-9819-49b7-b89f-e4ac9262e386
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

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Date deposited: 05 Aug 2011 17:00
Last modified: 01 Oct 2020 01:33

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