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A Joint Data Mapping and Detection for High Performance Generalized Spatial Modulation

delete2019-11-01
delete8
PRE
AI
吴贇 cover
吴贇 (Yun Wu)
H
Haiqing Ying
蒋学芹 cover
蒋学芹 (Xueqin Jiang) *
海涵 cover
海涵 (Han Hai)
DOI:10.1109/LCOMM.2019.2936812delete
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Abstract

Abstract

En 中文
This letter proposes a novel joint data mapping generalized spatial modulation (JDM-GSM) scheme to remove the restriction on the number of active transmit-antenna (TA) combinations in conventional GSM systems. By increasing the number of active TA combinations, the constellation size for signal mapping can be reduced. Consequently, the overall bit error rate (BER) performance of the GSM system can be improved. To reduce the complexity of optimal maximum-likelihood (ML) detector, a joint compressed sensing (JCS) detector for JDM-GSM scheme is proposed. Simulation results and theoretical analysis show that the proposed scheme can be adapted to multiple-input multiple-output (MIMO) systems and achieves better BER performance than that of the conventional GSM.
Keywords:
GSM
Detectors
Modulation
Indexes
Bit error rate
Complexity theory
Transmitting antennas
Multiple-input multiple-output (MIMO)
generalized spatial modulation (GSM)
joint data mapping generalized spatial modulation (JDM-GSM)
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

D
Donghua University
Scholars:
2.0W
Papers: 1.4W
Citations: 2.9W
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