Computational complexity reduction of MLD based on SINR in MIMO spatial multiplexing systems

Katsunari Honjo, Tomoaki Ohtsuki

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

3 Citations (Scopus)

Abstract

Recently, MIMO spatial multiplexing systems have attracted a lot of attention because of their high spectral effiencies. In MIMO spatial multiplexing systems Maximum Likelihood Detection (MLD) is known as an optimal method for signal detection in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, we propose two reduced complexity signal detection schemes: one combines the minimum mean square error (MMSE) detection and MLD based on the estimated signal to interference plus noise ratio (SINR). The other combines the ordered successive MMSE detection (OSD) and MLD based on the estimated SINR. We refer to these detection schemes as MMSE-MLD and OSD-MLD, respectively. We show by simulation results that the proposed MMSE-MLD and OSD-MLD can attain almost identical performance to that of MLD with less complexity.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
Pages1426-1430
Number of pages5
Volume60
Edition2
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: 2004 Sep 262004 Sep 29

Other

Other2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security
CountryUnited States
CityLos Angeles, CA
Period04/9/2604/9/29

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Honjo, K., & Ohtsuki, T. (2004). Computational complexity reduction of MLD based on SINR in MIMO spatial multiplexing systems. In IEEE Vehicular Technology Conference (2 ed., Vol. 60, pp. 1426-1430)