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Generalized Sparse-Aware Minimum Mean Square Error Detector for Large-Scale MU-MIMO Systems with Higher-Order QAM Modulation Schemes
  • Ran, Rong ;
  • Park, Gyu Jeong ;
  • Hong, Song Nam ;
  • Oh, Seong Keun ;
  • Wang, Jiaheng
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Publication Year
2018-07-27
Journal
IEEE International Conference on Communications
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE International Conference on Communications, Vol.2018-May
Keyword
MIMO systemsMMSE detectorSparse awareSymbol error vector
Mesh Keyword
Hierarchical structuresHigher order modulationMinimum mean square error detectorsMinimum mean square errorsMMSE detectorsMultiuser multiple input multiple outputs (MU MIMO)Sparse awareSymbol errors
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsElectrical and Electronic Engineering
Abstract
This paper considers an uplink multiuser multiple-input-multiple-output (MU-MIMO) system. In this system, we have presented a sparse-aware minimum-mean-square-error (SA-MMSE) detector which improves an underlying linear detector using the sparsity of a residual error vector (difference from the transmit vector and the detected one by the linear detector). Despite its attractive performance, the conventional SA-MMSE detector is only available for 4-QAM systems. In this paper, we generalize the SA-MMSE detector for a higher-order modulation system in a non-trivial method. This is referred to as generalized SA-MMSE (GSA-MMSE) detector. The key idea of the proposed detector is to exploit the hierarchical structure of a residual error vector. To be specific, the residual error vector can be decomposed into orthogonal sub-error vectors and, leveraging the orthogonality, the sub-error vectors can be decoded using the corresponding SA-MMSE detector in a successive fashion. Via simulation results, we demonstrate that the GSA-MMSE detector significantly outperforms the conventional linear detectors with a comparable complexity.
ISSN
1550-3607
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36278
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051416583&origin=inward
DOI
https://doi.org/10.1109/icc.2018.8423048
Type
Conference
Funding
ACKNOWLEDGMENT This work was supported by the Ajou University Research Fund, and the frame of international cooperation program managed by the National Research Foundation of Korea under Grant 2017K2A9A2A06016102.
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Oh, Seong Keun 오성근
Department of Electrical and Computer Engineering
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