Low-complexity MIMO detection algorithm with adaptive interference mitigation in DL MU-MIMO systems with quantization error

Jangyong Park, Minjoon Kim, Hyunsub Kim, Yunho Jung, Jaeseok Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we propose a low complexity multiple-input multiple-output (MIMO) detection algorithm with adaptive interference mitigation in downlink multiuser MIMO (DL MU-MIMO) systems with quantization error of the channel state information (CSI) feedback. In DL MU-MIMO systems using the imperfect precoding matrix caused by quantization error of the CSI feedback, the station receives the desired signal as well as the residual interference signal. Therefore, a complex MIMO detection algorithm with interference mitigation is required for mitigating the residual interference. To reduce the computational complexity, we propose a MIMO detection algorithm with adaptive interference mitigation. The proposed algorithm adaptively mitigates the residual interference by using the maximum likelihood detection (MLD) error criterion (MEC). We derive a theoretical MEC by using the MLD error condition and a practical MEC by approximating the theoretical MEC. In conclusion, the proposed algorithm adaptively performs interference mitigation when satisfying the practical MEC. Simulation results show that the proposed algorithm reduces the computational complexity and has the same performance, compared to the generalized sphere decoder, which always performs interference mitigation.

Original languageEnglish
Article number7487978
Pages (from-to)210-217
Number of pages8
JournalJournal of Communications and Networks
Volume18
Issue number2
DOIs
Publication statusPublished - 2016 Apr 1

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MIMO systems
Quantization (signal)
Error detection
Channel state information
Maximum likelihood
Computational complexity
Feedback
Signal interference

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

Cite this

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title = "Low-complexity MIMO detection algorithm with adaptive interference mitigation in DL MU-MIMO systems with quantization error",
abstract = "In this paper, we propose a low complexity multiple-input multiple-output (MIMO) detection algorithm with adaptive interference mitigation in downlink multiuser MIMO (DL MU-MIMO) systems with quantization error of the channel state information (CSI) feedback. In DL MU-MIMO systems using the imperfect precoding matrix caused by quantization error of the CSI feedback, the station receives the desired signal as well as the residual interference signal. Therefore, a complex MIMO detection algorithm with interference mitigation is required for mitigating the residual interference. To reduce the computational complexity, we propose a MIMO detection algorithm with adaptive interference mitigation. The proposed algorithm adaptively mitigates the residual interference by using the maximum likelihood detection (MLD) error criterion (MEC). We derive a theoretical MEC by using the MLD error condition and a practical MEC by approximating the theoretical MEC. In conclusion, the proposed algorithm adaptively performs interference mitigation when satisfying the practical MEC. Simulation results show that the proposed algorithm reduces the computational complexity and has the same performance, compared to the generalized sphere decoder, which always performs interference mitigation.",
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Low-complexity MIMO detection algorithm with adaptive interference mitigation in DL MU-MIMO systems with quantization error. / Park, Jangyong; Kim, Minjoon; Kim, Hyunsub; Jung, Yunho; Kim, Jaeseok.

In: Journal of Communications and Networks, Vol. 18, No. 2, 7487978, 01.04.2016, p. 210-217.

Research output: Contribution to journalArticle

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