Quadrature spatial modulation‐aided single‐input multiple‐output‐media‐based modulation

Abstract

Single-input multiple-output media-based modulation (SIMO-MBM) improves the limitation of single-input multiple-output (SIMO) systems by minimizing the required number of antennas to achieve a high data rate and enhanced error performance. In this paper, we employ the quadrature dimension of the spatial constellation by decomposing the amplitude/phase modulation (APM) symbol into real and imaginary components similar to quadrature spatial modulation (QSM) to improve the overall error performance of the conventional SIMO-MBM and to achieve a higher data rate. The average bit error probability of the proposed scheme is formulated using a lower bound approach and validated by the Monte Carlo (MC) simulation results obtained. Furthermore, the effect of the suboptimal mirror activation pattern selection using channel amplitude coupled with antenna correlatio n is examined for the proposed system. The MC simulation results achieved demonstrate a substantial improvement of 3.5 dB at 10 b/s/Hz with m rf = 2 and 7 dB at 12 b/s/Hz with m rf = 4 over the conventional SIMO-MBM scheme.

High mobility enabled spatial and media‐based modulated orthogonal frequency division multiplexing systems for beyond 5G wireless communications

“…In recent years, mainly detection performance of IM‐based systems is investigated in 14–24 rather than realistic channel estimation performance. In Shamasundar and Chockalingam, 14 multiuser MBM performance in a massive MIMO setting is investigated through compressed sensing (CS)‐based algorithms.…”

“…In Shamasundar and Chockalingam, 14 multiuser MBM performance in a massive MIMO setting is investigated through compressed sensing (CS)‐based algorithms. In Yildirim et al 15 and Bamisaye and Quazi, 16 the performance of quadrature channel modulation, which is the combination of quadrature SM and MBM, is studied from various aspects. In Basar and Altunbas, 17 space‐time block code (STBC)‐based channel modulation (i.e., MBM) is proposed.…”

“…SMBM and IM‐based studies defined in previous works 11–27 analyze the system performance from the symbol detection point of view only assuming the perfect CSI (P‐CSI) at the receiver. In addition, these studies mainly ignore the channel estimation and its effects to the system performance.…”

“…Owing to the modulation considered in fading channel, MBM becomes superior to conventional modulation formats. 12,13 In recent years, mainly detection performance of IM-based systems is investigated in [14][15][16][17][18][19][20][21][22][23][24] rather than realistic channel estimation performance. In Shamasundar and Chockalingam, 14 multiuser MBM performance in a massive MIMO setting is investigated through compressed sensing (CS)-based algorithms.…”

“…On the other hand, an analytical approach to obtain the error probability of OFDM-IM in fading channels is proposed in Ma et al 24 Furthermore, a reference signal aided channel estimation approach is considered for time-invariant SMBM systems in Kabaci et al 25 However, there are studies dealing with the high speed scenarios in vehicular communications by focusing on SM and IM implementation individually. 26,27 SMBM and IM-based studies defined in previous works [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] analyze the system performance from the symbol detection point of view only assuming the perfect CSI (P-CSI) at the receiver. In addition, these studies mainly ignore the channel estimation and its effects to the system performance.…”