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Article Dans Une Revue IEEE Communications Letters Année : 2021

Low Complexity Quasi-Optimal Detector for Generalized Spatial Modulation

Résumé

Generalized Spatial Modulation (GSM) is a promising technique for high data-rates systems where the complexity of the optimal joint detector based on the Maximum Likelihood (ML) criterion increases dramatically in terms of the modulation order and the number of activated transmit antennas. In this paper, a novel detection scheme for GSM systems denoted by O 2 SIC-ML is proposed to achieve the optimal performance with a controllable complexity-performance trade-off. The proposed detector is accompanied with ordering techniques for the transmit antenna combination and symbols to further reduce the complexity and improve the performance, respectively. The result reveals that O 2 SIC-ML allows reaching the non-linear ML detector performance with a 99% complexity reduction.
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Dates et versions

hal-03274263 , version 1 (29-06-2021)

Identifiants

Citer

Majed Saad, Hussein Hijazi, Ali Chamas Al Ghouwayel, Faouzi Bader, Jacques Palicot. Low Complexity Quasi-Optimal Detector for Generalized Spatial Modulation. IEEE Communications Letters, 2021, 25 (9), pp.3003-3007. ⟨10.1109/LCOMM.2021.3093525⟩. ⟨hal-03274263⟩
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