Reduced-complexity MIMO detection using adaptive set partitioning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a reduced-complexity multiple-input multiple-output (MIMO) detector for the Bell Labs Layered Space-Time Architecture (BLAST) is described. It incorporates the idea of set partitioning in the tree search to reduce the number of multiplications and comparisons. An algorithm that adapts the number of partitions based on the channel conditions is also proposed to achieve a better tradeoff between complexity and performance. Simulation results are presented to demonstrate the efficacy of the proposed algorithm under the assumptions of perfect channel and noise power estimates.

Original languageEnglish
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
Pages159-164
Number of pages6
Publication statusPublished - 2008 Sep 18
EventIEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States
Duration: 2008 Mar 312008 Apr 3

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

OtherIEEE Wireless Communications and Networking Conference, WCNC 2008
CountryUnited States
CityLas Vegas, NV
Period08-03-3108-04-03

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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