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

Katsunari Honjo, Tomoaki Ohtsuki

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


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
Pages (from-to)1426-1430
Number of pages5
JournalIEEE Vehicular Technology Conference
Issue number2
Publication statusPublished - 2004 Dec 1
Externally publishedYes
Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
Duration: 2004 Sept 262004 Sept 29

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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