Signal Vector Based Detection Scheme for Spatial Modulation

Wang, Jintao; Jia, Shuyun; Song, Jian

doi:10.1109/lcomm.2011.111611.112127

Cited by 84 publications

(49 citation statements)

References 6 publications

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“…The A-QASM scheme is temporarily equivalent in performance to the conventional SM scheme (4-QAM) at lower average SNR values, because 4-QAM is the only selected modulation at low average SNR values, between 12 and 15 dB inclusive. From 15 to 22 dB, the A-QASM system starts to outperform the conventional SM for all possible M-QAM levels (4,8,16, 32 and 64-QAM), because different signal constellations are being selected for a particular average SNR in order to maximise throughput. The conventional SM has no alternative but to transmit using the same data rate even if the channel permits for higher data rates to be sent via the wireless fading channel.…”

Section: 21mentioning

confidence: 99%

“…At this point, the A-QASM scheme has the same throughput performance as the conventional SM. An interesting observation is that, for conventional SM (4,8,16,32 or 64-QAM) transmission, the average throughput curves start from zero and gradually increase to the expected average throughput for that modulation [i.e. log 2 (ML t ), where M is the M-QAM constellation size].…”

Section: 21mentioning

confidence: 99%

“…Maximal ratio combining (MRC)-based SM detection was found to be sub-optimal and hence an MLbased optimal SM detector was proposed by Jeganathan et al [5], a simplified ML detector was proposed in [7] and very recently, signal vector-based detection was developed in [8].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive M-ary quadrature amplitude spatial modulation

Mthethwa

2012

IET Communications

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Spatial modulation (SM) is a low complexity, highly spectral efficient multiple-input -multiple-output scheme that has been proposed in the literature. The authors apply adaptive modulation to conventional SM in order to maximise the average throughput of the scheme. For this to be possible, the equivalent received signal-to-noise ratio (SNR) needs to be defined and is done so via two proposed approaches: using the first-order statistics SNR and using the average statistics SNR. Average theoretical bit-error-rate (BER) bounds are derived for both of these SNR approaches. Also, adaptive M-ary quadrature amplitude spatial modulation switching levels are determined to maximise the throughput while meeting the average target BER. The Monte Carlo simulation results successfully validate the derived theoretical BER bounds and also prove that the average throughput is improved in comparison to conventional SM. The two proposed definitions for the equivalent received SNR are confirmed to yield comparable BER and throughput performances via simulations, implying that the equivalent received SNR can be defined using either approach.

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Section: 21mentioning

confidence: 99%

Section: 21mentioning

confidence: 99%

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Adaptive M-ary quadrature amplitude spatial modulation

Mthethwa

2012

IET Communications

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“…Spatial modulation (SM) is a novel modulation scheme proposed in recent years to improve the spectral and energy efficiency of conventional multiple-input multiple-output (MI-MO) systems [1]- [5]. In the case of SM, the transmitter, which is equipped with multiple transmit antennas (TAs), activates only one antenna during each symbol slot and transmits a data symbol taken from an amplitude-phase modulation (APM).…”

Section: Introductionmentioning

confidence: 99%

Improving the performance of spatial modulation by phase-only pre-scaling

Wang

Zhang

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Spatial modulation (SM) is a modulation scheme that exploits the spatial dimension of multiple-input multipleoutput (MIMO) channels to encode the transmitted information. It is shown in this paper that, by properly rotating the phase of the transmitted symbols, the minimum Euclidean distance (MED) of the constellation of the received symbols can be enlarged and hence the error performance can be improved. Moreover, we propose an algorithm that incorporates an iteration process to design the phase-only pre-scaling factors, which only rotate the phases of different transmitted symbols according to the instantaneous channel realization. Simulation results demonstrate that the proposed method is capable of outperforming the conventional SM scheme and other pre-scaling SM schemes.

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“…Based on the work of Naidoo et al [14], a simplified ML detection scheme was proposed in [15] with BER performance almost the same as that of the conventional ML detection scheme with at least 60% and 64.8% complexity reduction for 4 × 4 64-QAM-SM and 8 × 4 64-QAM-SM, respectively. Very recently, signal vectorbased detection for SM was developed in [16]. However, for high-order modulation the computational complexity of signal vector-based detection is still high because the detection of the last stage is still ML detection.…”

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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Signal Vector Based Detection Scheme for Spatial Modulation

Cited by 84 publications

References 6 publications

Adaptive M-ary quadrature amplitude spatial modulation

Adaptive M-ary quadrature amplitude spatial modulation

Improving the performance of spatial modulation by phase-only pre-scaling

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

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