Joint maximum likelihood detection and interference cancellation for MIMO/OFDM systems

K. B. Letaief, Eunyoung Choi, Jae Young Ahn, R. Chen

Research output: Contribution to journalConference article

12 Citations (Scopus)

Abstract

Recently, considerable attention has been focused on the deployment of smart antennas technology, or spatial division multiplexing (SDM), as a promising and efficient method to increase wireless link capacity. A series of decoding algorithms for SDM systems have been proposed among which Maximum Likelihood Detection (MLD) is known for its best system performance. However, this is done at the expense of a very high computational load. In this paper, we propose a reduced complexity combined MLD and Successive Interference Cancellation (SIC) detection scheme for SDM systems to realize an increased diversity gain. It is shown that the proposed architecture can significantly improve the overall system performance at a much lower computational complexity compared with MLD. In addition, it is shown that when applied in an OFDM/MIMO system the proposed architecture leads to significant performance enhancement with a much-reduced complexity compared with the optimum MLD architecture.

Original languageEnglish
Pages (from-to)612-616
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume58
Issue number1
Publication statusPublished - 1 Dec 2003
Event2003 IEEE 58th Vehicular Technology Conference, VTC2003-Fall - Orlando, FL, United States
Duration: 6 Oct 20039 Oct 2003

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Keywords

  • Maximum Likelihood Detection
  • QR decomposition
  • SDM
  • V-BLAST

ASJC Scopus subject areas

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

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