Spatial modulation: optimal detector asymptotic performance and multiple-stage detection

Naidoo, Nigel Reece.; Xu, Hongjun; Quazi, Tahmid

doi:10.1049/iet-com.2010.0667

Cited by 90 publications

(143 citation statements)

References 11 publications

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“…However, when SNR is high, the interference becomes overwhelming and, in this case, no diversity gain is available. From the above analysis we can know that the simplified SMLD, which has been widely employed in references [10,11,15,16,50,51], is not suitable for the TRD-PSM systems.…”

Section: Performance Results and Discussionmentioning

confidence: 99%

“…Third, in order to further decrease the detection complexity, we propose a successive MLD (SMLD) and also reduce it to the simplified SMLD. This simplified SMLD is in fact a detector widely employed in the SM/PSM systems proposed in references, e.g., in [10,11,15,16,26]. However, our studies in this paper show that this simplified SMLD is inefficient and yields significant performance degradation, when it is operated in the PSM systems, where only a subset of receive antennas are used for SSK modulation.…”

Section: Introductionmentioning

confidence: 86%

“…Corresponding to the various SM schemes, different types of detectors have been proposed, in order to achieve a good trade-off between reliability and complexity, as seen, e.g., in the above-mentioned references and [11,15,16]. Furthermore, the performance of SM systems with various detection approaches has been studied.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Performance Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 86%

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

Liu

Yang

Wang

2018

IEEE Trans. Veh. Technol.

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“…Unlike the traditional MIMO systems, the SM transmitter in 3D-MIMO systems uses massive transmit antennas but a small number of radio frequency (RF) chains, which significantly improves energy efficiency of the whole system, because the hardware cost and power consumption increase highly with the number of RF chains [10,11]. With only one or several transmit antennas being active at each time slot, ICI at the receiver and the need to synchronize the transmit antennas can be largely reduced [12][13][14][15]. Moreover, with only one or several nonzero components in transmit signal at each slot, the inherent sparsity of SM-3D-MIMO signals can be utilized in signal detection.…”

Section: Introductionmentioning

confidence: 99%

Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems

Ren

Gui

2017

Wireless Communications and Mobile Computing

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Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which spatial modulation (SM) transmission scheme is considered due to its advantages of low complexity and high-energy efficiency. SM based signal transmission typically results in the block-sparse structure in received signals. Hence, structured compressed sensing (SCS) based signal detection is proposed to exploit the inherent block sparsity information in the received signal for the uplink (UL). Moreover, normalization preprocessing is considered before iteration process with the purpose of preventing the noise from being overamplified by the column vector with inadequately large elements. Simulation results are provided to show the stable and reliable performance of the proposed algorithm under both Gaussian and non-Gaussian noise, in comparison with methods such as compressed sensing based detectors, minimum mean square error (MMSE), and zero forcing (ZF).

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“…However, this condition is only valid for low-order modulation (M ≤ 4) M-QAM-SM schemes. The work in [14] showed that for high-order modulation schemes (M ≥ 16), optimal SM detection can increase receive complexity by :125% compared with sub-optimal SM detection. Based on this observation, a multi-stage detection scheme for SM was proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

Simple low-complexity detection schemes for M-ary quadrature amplitude modulation spatial modulation

2012

IET Communications

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In this study, the authors propose a simple low-complexity detection scheme for N t × N r M-ary quadrature amplitude modulation spatial modulation that exhibits a much lower computational complexity compared to the conventional maximumlikelihood (ML) detection scheme. The proposed simple low-complexity detection scheme firstly detects the transmitted symbol for each transmit antenna based on modified suboptimal detection, and secondly chooses N (N ≤ N t ) pairs of the most probable transmit antenna index and transmitted symbol subset, which the transmitted signal most probably belongs to, and finally searches the pair of transmit antenna index and transmitted symbol among these pairs. To further reduce detection complexity of the proposed simple detection scheme the authors also propose an adaptive detection scheme. Simulation results validate that the average bit-error-rate (BER) performance of the proposed simple detection scheme is almost the same as that of the conventional ML optimal detection with significant complexity reduction. Simulation results also show that the adaptive detection scheme can achieve optimal detection BER performance with further complexity reduction compared to the proposed simple low-complexity detection scheme.

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Spatial modulation: optimal detector asymptotic performance and multiple-stage detection

Cited by 90 publications

References 11 publications

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

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

Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems

Simple low-complexity detection schemes for M-ary quadrature amplitude modulation spatial modulation

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