Computational Complexity Reduction of MLD Based on SINR in MIMO Spatial Multiplexing Systems
Summary :
MIMO spatial multiplexing systems are attracting a lot of attention because of their high spectral effiencies. Maximum Likelihood Detection (MLD) is known to be the optimal signal detection method for MIMO spatial multiplexing systems in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, to reduce the computational complexity of MLD and to attain good BER in MIMO spatial multiplexing systems, we propose the minimum mean square error (MMSE)-MLD that combines MMSE detection and MLD according to the estimated SINR from each transmit antenna. We also propose the ordered successive MMSE detection (OSD)-MLD that combines OSD and MLD according to the estimated SINR from the transmit antennas. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical BER to that of MLD but with less complexity.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.3 pp.914-921
- Publication Date
- 2006/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.3.914
- Type of Manuscript
- PAPER
- Category
- Antennas and Propagation
Authors
Keyword
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Katsunari HONJO, Tomoaki OHTSUKI, "Computational Complexity Reduction of MLD Based on SINR in MIMO Spatial Multiplexing Systems" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 3, pp. 914-921, March 2006, doi: 10.1093/ietcom/e89-b.3.914.
Abstract: MIMO spatial multiplexing systems are attracting a lot of attention because of their high spectral effiencies. Maximum Likelihood Detection (MLD) is known to be the optimal signal detection method for MIMO spatial multiplexing systems in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, to reduce the computational complexity of MLD and to attain good BER in MIMO spatial multiplexing systems, we propose the minimum mean square error (MMSE)-MLD that combines MMSE detection and MLD according to the estimated SINR from each transmit antenna. We also propose the ordered successive MMSE detection (OSD)-MLD that combines OSD and MLD according to the estimated SINR from the transmit antennas. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical BER to that of MLD but with less complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.3.914/_p
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@ARTICLE{e89-b_3_914,
author={Katsunari HONJO, Tomoaki OHTSUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Computational Complexity Reduction of MLD Based on SINR in MIMO Spatial Multiplexing Systems},
year={2006},
volume={E89-B},
number={3},
pages={914-921},
abstract={MIMO spatial multiplexing systems are attracting a lot of attention because of their high spectral effiencies. Maximum Likelihood Detection (MLD) is known to be the optimal signal detection method for MIMO spatial multiplexing systems in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, to reduce the computational complexity of MLD and to attain good BER in MIMO spatial multiplexing systems, we propose the minimum mean square error (MMSE)-MLD that combines MMSE detection and MLD according to the estimated SINR from each transmit antenna. We also propose the ordered successive MMSE detection (OSD)-MLD that combines OSD and MLD according to the estimated SINR from the transmit antennas. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical BER to that of MLD but with less complexity.},
keywords={},
doi={10.1093/ietcom/e89-b.3.914},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Computational Complexity Reduction of MLD Based on SINR in MIMO Spatial Multiplexing Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 914
EP - 921
AU - Katsunari HONJO
AU - Tomoaki OHTSUKI
PY - 2006
DO - 10.1093/ietcom/e89-b.3.914
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2006
AB - MIMO spatial multiplexing systems are attracting a lot of attention because of their high spectral effiencies. Maximum Likelihood Detection (MLD) is known to be the optimal signal detection method for MIMO spatial multiplexing systems in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, to reduce the computational complexity of MLD and to attain good BER in MIMO spatial multiplexing systems, we propose the minimum mean square error (MMSE)-MLD that combines MMSE detection and MLD according to the estimated SINR from each transmit antenna. We also propose the ordered successive MMSE detection (OSD)-MLD that combines OSD and MLD according to the estimated SINR from the transmit antennas. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical BER to that of MLD but with less complexity.
ER -
English
