Sparse detection with orthogonal matching pursuit in multiuser uplink quadrature spatial modulation MIMO system

• Published in: IET communications 2019-12, Vol.13 (20), p.3472-3478
• Main Authors: Adnan, Saifullah, Fu, Yuli, Junejo, Naveed Ur Rehman, Chen, Zhen, Esmaiel, Hamada
• Format: Article
• Language: English
• Subjects: antenna arrays; base station RF chains; cellular network deployments; cellular radio; channel matrix; complex ML decoder; compressed sensing; computational complexity; CS detector; data communication; downlink transmission; equaliser design; equalisers; future wireless mobile network; high spectral efficiency; high‐density uplink MU network; interference suppression; iterative methods; low computational complexity; low estimation performance; matrix algebra; maximum likelihood decoder; maximum likelihood detection; MIMO communication; mobile radio; mobile user; modulation; MU interference mitigation; multiple antennas; multiuser uplink data transmission; multiuser uplink quadrature spatial modulation MIMO system; OMP; OMP detection; optimal detection performance; orthogonal matching pursuit detection; QSM application; QSM technique; radio frequency chains; received signal detection; Research Article; simulation analysis; sparse detection; spatial modulation techniques; suboptimal performance; system bit error rate; time‐frequency analysis; transmission techniques; transmitter antennas; transmitting antennas; uplink MU communication; uplink MU detection
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2019.0321

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).