Performance analysis of maximum likelihood detection for MIMO systems

Myeongcheol Shin, Dong Seung Kwon, Chungyong Lee

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

6 Citations (Scopus)

Abstract

The performance of ML detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in an infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and the minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error rate(VSER) over the given channel. To verify the results, we simulate ML performance over the various random channels which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation for the performance of ML detector over all random MIMO channels.

Original languageEnglish
Title of host publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
Pages2154-2158
Number of pages5
Volume5
Publication statusPublished - 2006 Dec 1
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
Duration: 2006 May 72006 Jul 10

Other

Other2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
CountryAustralia
CityMelbourne
Period06/5/706/7/10

Fingerprint

Maximum Likelihood Detection
MIMO Systems
MIMO systems
Maximum likelihood
Performance Analysis
Symbol Error Rate
Lattice Points
Minimum Distance
Multiple-input multiple-output (MIMO)
Decoding
Nearest Neighbor
Detector
Verify
Detectors
Approximation
Simulation

All Science Journal Classification (ASJC) codes

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

Cite this

Shin, M., Kwon, D. S., & Lee, C. (2006). Performance analysis of maximum likelihood detection for MIMO systems. In 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings (Vol. 5, pp. 2154-2158). [1683237]
Shin, Myeongcheol ; Kwon, Dong Seung ; Lee, Chungyong. / Performance analysis of maximum likelihood detection for MIMO systems. 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings. Vol. 5 2006. pp. 2154-2158
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Shin, M, Kwon, DS & Lee, C 2006, Performance analysis of maximum likelihood detection for MIMO systems. in 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings. vol. 5, 1683237, pp. 2154-2158, 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring, Melbourne, Australia, 06/5/7.

Performance analysis of maximum likelihood detection for MIMO systems. / Shin, Myeongcheol; Kwon, Dong Seung; Lee, Chungyong.

2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings. Vol. 5 2006. p. 2154-2158 1683237.

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

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Shin M, Kwon DS, Lee C. Performance analysis of maximum likelihood detection for MIMO systems. In 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings. Vol. 5. 2006. p. 2154-2158. 1683237