On the Asymptotic Performance of Receive Space Modulation in the Shadowing Broadcast Channel

Stavridis, Athanasios; Renzo, Marco Di; Grant, Peter; Haas, Harald

doi:10.1109/lcomm.2016.2592498

Cited by 12 publications

(9 citation statements)

References 17 publications

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“…In [12], a novel downlink dual-hop architecture based on hybrid space-domain IM systems was proposed, where RSM and spatial modulation (SM) techniques were employed in the first and the second hops, respectively, in order to achieve transmitter diversity gains and harvest energy efficiency gains, respectively. The application of RSM to broadcasting channels was addressed in [13] and [14], where a general framework for performance (i.e., the symbol error rate, diversity order and coding gain) analysis was established. More recently, in [15] and [16] RSM and mmWave-MIMO techniques were ingeniously integrated to reduce the cost of hardware, and in [17] the RSM concept was further exploited for V2X communications using lattice reduction (LR).…”

Section: Enhanced Receive Spatial Modulation Based On Power Allocationmentioning

confidence: 99%

“…It is worth noting that the objective function d min (Q) in (14) and (15) depends on the values of d i,j (Q), which is given by…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

“…It is noted that R i,j is Hermitian and positive semi-definite, since d i,j (Q) ≥ 0 regardless of q. Based on (17), the objective function in (14) and (15) can be equivalently expressed as…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

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Enhanced Receive Spatial Modulation Based on Power Allocation

Yang¹,

Xiao²,

Xiao³

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we investigate the benefits of power allocation (PA) for multiple-input multiple-output (MIMO) receive spatial modulation (RSM) with both a total transmit power constraint (TTPC) and a per-antenna power constraint (PAPC). First, we derive optimal PA closed-form solutions that maximize the minimum distance d min between the received signal points for (N t × 2)-element RSM with arbitrary phase-shift keying schemes (where N t is the number of transmit antennas) subject to a TTPC. Based on the derived solutions and the error vector reduction (EVR) method, we propose a low-complexity iterative algorithm to identify PA parameters for high numbers of receive antennas (N r ≥ 2). Specifically, the EVR-based PA (EVR-PA) algorithm resembles its traditional exhaustive-search-based counterpart, but only exploits the receive distances of a few dominant error vectors to iteratively optimize the PA matrix. Then, a more strict yet practical PAPC is considered for PA in RSM-MIMO systems, and a welldesigned approximate convex optimization (ACO)-based iterative PA algorithm is proposed. Compared to EVR-PA, the ACO-based PA (ACO-PA) algorithm first formulates the PA problems with the PAPC in RSM into constrained quadratic program problems and then utilizes the powerful augmented Lagrangian multiplier to find their optimal solutions. Our simulation results show that the proposed EVR-PA-and ACO-PA-aided RSM schemes outperform the equal-power-allocated RSM-and PA-aided spatial multiplexing schemes.

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Section: Enhanced Receive Spatial Modulation Based On Power Allocationmentioning

confidence: 99%

“…It is worth noting that the objective function d min (Q) in (14) and (15) depends on the values of d i,j (Q), which is given by…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced Receive Spatial Modulation Based on Power Allocation

Yang¹,

Xiao²,

Xiao³

et al. 2019

IEEE J. Sel. Top. Signal Process.

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show abstract

“…Based on the principles of PSM, different PSM schemes have been proposed and investigated, and some of them are referred to as the receive spatial modulation (RSM) [21][22][23][24][25]. In more detail, by introducing the RSM to the multi-user MIMO, the authors of [21] have proposed and investigated a multistream RSM scheme.…”

Section: Introductionmentioning

confidence: 99%

“…In more detail, by introducing the RSM to the multi-user MIMO, the authors of [21] have proposed and investigated a multistream RSM scheme. With the aid of the high signal-to-noise ratio (SNR) approximation, the asymptotic error performance of the multistream RSM systems has been analyzed in [22], where both small-and largescale fading are taken into account. The authors of [23] have analyzed the symbol error rate, diversity order, and the coding gain of the RSM-assisted MIMO systems, when assuming shadowing broadcast channels.…”

Section: Introductionmentioning

confidence: 99%

Transmitter-Precoding-Aided Spatial Modulation Achieving Both Transmit and Receive Diversity

Liu

Yang

Wang

2018

IEEE Trans. Veh. Technol.

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Abstract-We propose and investigate a precoding-aided spatial modulation (PSM) scheme, which can simultaneously achieve transmit and receive diversity and, hence, is referred to as the TRD-PSM scheme. In TRD-PSM systems, information is transmitted jointly using an amplitude-phase modulation (APM) and a receive antenna based space-shift keying (SSK) modulation. We consider two types of linear precoders, namely transmitter zero-forcing (TZF) and transmitter minimum mean-square error (TMMSE), so as to facilitate low-complexity signal detection. In order to satisfy the different requirement for complexity and reliability, we introduce/propose a range of detection algorithms, which include joint maximum likelihood detector (JMLD), simplified JMLD, successive MLD (SMLD), simplified SMLD, and ratio threshold test assisted MLD (RTT-MLD). We address the principles, characteristics, complexity and performance of these detection algorithms. Furthermore, we analyze the average bit error probability (ABEP) of the TZF-and TMMSE-assisted TRD-PSM systems employing respectively the JMLD and simplified JMLD and at both small-and large-scale. Finally, numerical and simulation results are provided to demonstrate and compare the achievable performance of TRD-PSM systems employing various precoding and detection algorithms, as well as to validate the formulas derived.

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Performance analysis in multiuser downlink visible light communication MIMO system using SSK and optical orthogonal codes

Wu,

Chen

2024

Int J Communication

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SummaryThis paper considers multiuser downlink transmission and detection in a multiple input‐multiple output (MIMO) visible light communication (VLC) system. We combine two promising techniques: space‐shift keying (SSK) and optical orthogonal codes (OOCs). Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific OOC simultaneously. An OOC despreader is implemented at the front end of each user terminal (UT) to extract the desired signal and mitigate multiuser interference (MUI). The second part of UT receiver aims to extract the index of the corresponding active LED based on maximum likelihood (ML) or zero‐forcing (ZF) algorithm. The figure of merit we used to access the performance of the proposed downlink multiuser SSK system is the average symbol error rate (SER). Comprehensive Monte Carlo simulations have been undertaken for different system setup to evaluate SER at UT receiver. It is demonstrated that for a specified SER, the required SNR for ML‐based detection algorithm is 3 dB less than the ZF detector in the MUI‐free scenario. On the other hand, the ZF detector outperforms ML detector in the case with residual MUI and limited channel state information (CSI). Both algorithms are computationally attractive, hence can be put into practice in multiuser VLC MIMO system.

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On the Asymptotic Performance of Receive Space Modulation in the Shadowing Broadcast Channel

Cited by 12 publications

References 17 publications

Enhanced Receive Spatial Modulation Based on Power Allocation

Enhanced Receive Spatial Modulation Based on Power Allocation

Transmitter-Precoding-Aided Spatial Modulation Achieving Both Transmit and Receive Diversity

Performance analysis in multiuser downlink visible light communication MIMO system using SSK and optical orthogonal codes

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