Near-optimal MIMO detection algorithm with low and fixed complexity

Hyunsub Kim; Jaeseok Kim

doi:10.1109/ISCE.2015.7177810

Near-optimal MIMO detection algorithm with low and fixed complexity

Hyunsub Kim, Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a near-optimal multiple-input multiple-output (MIMO) detection algorithm with low and fixed complexity, which is based on the fixed-complexity sphere decoder (FSD). By employing the lattice reduction (LR) to the FSD, the computational complexity is reduced considerably while maintaining the near-optimal bit-error-rate (BER) performance. Although the application of LR to the FSD is not straightforward, an efficient solution is proposed in this paper. The numerical results demonstrate that the computational complexity of the proposed algorithm is reduced by about 43.02% and 76.49% for 64-QAM and 256-QAM compared to the optimal FSD while the performance degradation is negligible.

Original language	English
Title of host publication	2015 International Symposium on Consumer Electronics, ISCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467373654
DOIs	https://doi.org/10.1109/ISCE.2015.7177810
Publication status	Published - 2015 Aug 4
Event	IEEE International Symposium on Consumer Electronics, ISCE 2015 - Madrid, Spain Duration: 2015 Jun 24 → 2015 Jun 26

Publication series

Name	Proceedings of the International Symposium on Consumer Electronics, ISCE
Volume	2015-August

Other

Other	IEEE International Symposium on Consumer Electronics, ISCE 2015
Country	Spain
City	Madrid
Period	15/6/24 → 15/6/26

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1109/ISCE.2015.7177810

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Cite this

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title = "Near-optimal MIMO detection algorithm with low and fixed complexity",

abstract = "In this paper, we propose a near-optimal multiple-input multiple-output (MIMO) detection algorithm with low and fixed complexity, which is based on the fixed-complexity sphere decoder (FSD). By employing the lattice reduction (LR) to the FSD, the computational complexity is reduced considerably while maintaining the near-optimal bit-error-rate (BER) performance. Although the application of LR to the FSD is not straightforward, an efficient solution is proposed in this paper. The numerical results demonstrate that the computational complexity of the proposed algorithm is reduced by about 43.02% and 76.49% for 64-QAM and 256-QAM compared to the optimal FSD while the performance degradation is negligible.",

author = "Hyunsub Kim and Jaeseok Kim",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; IEEE International Symposium on Consumer Electronics, ISCE 2015 ; Conference date: 24-06-2015 Through 26-06-2015",

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doi = "10.1109/ISCE.2015.7177810",

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Kim, H & Kim, J 2015, Near-optimal MIMO detection algorithm with low and fixed complexity. in 2015 International Symposium on Consumer Electronics, ISCE 2015., 7177810, Proceedings of the International Symposium on Consumer Electronics, ISCE, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., IEEE International Symposium on Consumer Electronics, ISCE 2015, Madrid, Spain, 15/6/24. https://doi.org/10.1109/ISCE.2015.7177810

Near-optimal MIMO detection algorithm with low and fixed complexity. / Kim, Hyunsub; Kim, Jaeseok.

2015 International Symposium on Consumer Electronics, ISCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7177810 (Proceedings of the International Symposium on Consumer Electronics, ISCE; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - In this paper, we propose a near-optimal multiple-input multiple-output (MIMO) detection algorithm with low and fixed complexity, which is based on the fixed-complexity sphere decoder (FSD). By employing the lattice reduction (LR) to the FSD, the computational complexity is reduced considerably while maintaining the near-optimal bit-error-rate (BER) performance. Although the application of LR to the FSD is not straightforward, an efficient solution is proposed in this paper. The numerical results demonstrate that the computational complexity of the proposed algorithm is reduced by about 43.02% and 76.49% for 64-QAM and 256-QAM compared to the optimal FSD while the performance degradation is negligible.

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