Sparse detection with orthogonal matching pursuit in multiuser uplink quadrature spatial modulation MIMO system. Issue 20 (1st December 2019)

• Record Type: Journal Article
• Authors: Adnan, Saifullah; Fu, Yuli; Junejo, Naveed Ur Rehman; Chen, Zhen; Esmaiel, Hamada
• Is Part Of: IET communications. Volume 13:Issue 20(2019)
• Page Start: 3472
• Page End: 3478
• Publication Date: 2019-12-01
• Subjects: MIMO communication -- maximum likelihood detection -- mobile radio -- computational complexity -- antenna arrays -- modulation -- cellular radio -- compressed sensing -- time‐frequency analysis -- iterative methods -- transmitting antennas -- data communication -- matrix algebra -- interference suppression -- equalisers; sparse detection -- multiuser uplink quadrature spatial modulation MIMO system -- future wireless mobile network -- high spectral efficiency -- QSM application -- downlink transmission -- cellular network deployments -- multiple antennas -- mobile user -- radio frequency chains -- spatial modulation techniques -- maximum likelihood decoder -- optimal detection performance -- uplink MU detection -- orthogonal matching pursuit detection -- OMP -- complex ML decoder -- low computational complexity -- high‐density uplink MU network -- low estimation performance -- QSM technique -- uplink MU communication -- transmission techniques -- computational complexity -- transmitter antennas -- MU interference mitigation -- base station RF chains -- multiuser uplink data transmission -- received signal detection -- compressed sensing -- OMP detection -- suboptimal performance -- channel matrix -- equaliser design -- CS detector -- system bit error rate -- simulation analysis; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.0321
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Quadrature spatial modulation (QSM) is one of the most prevalent transmission techniques for future wireless mobile network due to its high spectral efficiency (SE) and low complexity. However, it is restrictive to downlink of the cellular network deployments. Therefore, this paper proposes QSM for the multiuser uplink data transmission that increases the SE of the network by deploying multiple antennas at the mobile user with only two radio frequency (RF) chains. Maximum likelihood (ML) decoder is used to detect the received signal and attains the optimal detection performance but it is impractical because of its high computational complexity. Consequently, this paper proposes compressed sensing (CS) based orthogonal matching pursuit (OMP) detection as it has a suboptimal performance with a low computational complexity which can be a practical solution in the high‐density uplink multiuser network. However, conventional OMP algorithm has a low estimation performance due to multiuser interference which corrupt channel matrix. Thus, this work design an equalizer that mitigates the multiuser interference and improve the detection performance by orthonormalizing the columns of channel matrix. Simulation analysis confirm that the proposed QSM technique based on CS detector outperforms the conventional schemes in terms of SE and bit error rate (BER).