Adaptive joint mapping generalised spatial modulation

Ma, Ning; Wang, Anguo; Han, Changcai; Ji, Yuchu

doi:10.1109/iccchina.2012.6356939

Cited by 14 publications

(8 citation statements)

References 10 publications

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“…AGSSK and AGSSK-TOSD outperform all schemes except for EGT with selection of the best subset of antennas. Furthermore, again the Union Bound model of (6) and (19) perfectly matches the Monte-Carlo simulations in the high-SNR region. (6) and (19), respectively] EGT (Best Subset), QPSK Closed−loop Alamouti [29], QPSK Closed−loop Spat.…”

Section: Numerical Resultsmentioning

confidence: 68%

“…In order to substantiate our diversity analysis, in the figures we also show the Union Bound analytical models in (6) and (19) for AGSSK and AGSSK-TOSD, respectively. More specifically, the curves have been obtained by calculating (6) and (19) for many channel realizations and numerically computing the average. Regarding the generation of time-orthogonal shaping filters for AGSSK-TOSD with the same time duration and bandwidth, we consider the method described in [26].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…A simpler version of the idea presented in [17], where only the subset of antennas is selected and not the possible transmit mode from each of the antennas of the selected subset, was proposed in [18]. Finally, Ma et al [19] introduced the so-called adaptive joint mapping generalized SM (AJM-GSM) in which the incoming data bits are jointly mapped to both the signal and spatial symbols in a dynamic way at each time slot, based on the channel state information (CSI) at the receiver.…”

Section: Transmit-diversity For Sm Systemsmentioning

confidence: 99%

“…This is in contrast to conventional systems that use PSK/QAM modulation to convey information. http://jwcn.eurasipjournals.com/content/2013/1/43 Due to this, there have been several works in literature that improve the performance in the high-SNR region of those schemes through means of transmit-diversity, which can be achieved either by open or closed-loop design [11][12][13][14][15][16][17][18][19][20][21][22][23].…”

Section: General Backgroundmentioning

confidence: 99%

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Adaptive generalized space shift keying

Ntontin

Renzo

Pérez-Neira

et al. 2013

J Wireless Com Network

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In this article, we propose a closed-loop precoding method for the Generalized Space Shift Keying (GSSK) modulation scheme, suitable for Multiple-Input-Single-Output (MISO) systems and denoted as adaptive GSSK (AGSSK), which achieves transmit-diversity gains in contrast to GSSK. For the case of a perfect feedback channel, we analytically show that for three and four antennas at the transmitter and rates 1 and 2 bits per channel use (bpcu), respectively, a full transmit-diversity can be achieved without reducing the achievable rate. For higher number of transmit antennas and rates, the performance of the proposed scheme degrades due to the smaller average minimum Euclidean distance as the rate increases. Due to this, we, furthermore, propose an enhancing method for AGSSK which relies on the use of time-orthogonal shaping filters for the different constellation points. For the enhanced method, named as AGSSK with time-orthogonal signal design (AGSSK-TOSD), we analytically prove that it offers transmit-diversity gains which are greater than the number of active transmit antennas for any number of transmit antennas and supported rate. This is attained without any antenna subset selection technique, which alleviates the processing burden on the terminal side. Monte Carlo simulations show that AGSSK significantly outperforms GSSK in terms of average bit error probability (ABEP) and, moreover, for medium to high rates and practical signal-to-noise ratio (SNR) regions AGSSK-TOSD outperforms well-known feedback-based multiple-antenna schemes. This advantage of AGSSK-TOSD is further substantiated with an energy effficiency comparison over the conventional schemes for a target (uncoded) ABEP.

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Section: Numerical Resultsmentioning

confidence: 68%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Transmit-diversity For Sm Systemsmentioning

confidence: 99%

Section: General Backgroundmentioning

confidence: 99%

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Adaptive generalized space shift keying

Ntontin

Renzo

Pérez-Neira

et al. 2013

J Wireless Com Network

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“…In adaptive joint mapping generalized spatial modulation (AJM-GSM) [16], the information bits are directly mapped to signal-spatial constellations (SSCs) which consist of complex APM symbols and antenna indices. The optimal set of SSC can be found according to the channel state information (CSI) estimated at the receiver and fed back to the transmitter.…”

Section: Introductionmentioning

confidence: 99%

Signal-Spatial Constellation Optimization for Generalized Spatial Modulation

Wang

Chang

2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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This paper considers the optimal constellation design for the generalized spatial modulation (GSM). The signal and spatial parts of the constellation are jointly designed where the signal part is not restricted to the conventional amplitude/phase modulation constellation points. The design problem is formulated as an optimization problem where a set of multi-dimensional constellation points that minimizes the average symbol error rate (SER) is selected. A gradient search algorithm is proposed to solve the optimization problem. Numerical results demonstrate the improved SER performance and increased energy efficiency of the proposed generalized signal-spatial constellation (GSSC) scheme as compared to previous spatial modulation (SM), GSM, and conventional MIMO schemes.Index Terms-Multiple-input multiple-output (MIMO) systems, spatial modulation, optimization, energy efficiency.

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Improved error performance for generalised spatial modulation with enhanced spectral efficiency

Pillay

2019

Int J Communication

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SummaryThe existing analytical average bit error rate (ABER) expression of conventional generalised spatial modulation (CGSM) does not agree well with the Monte Carlo simulation results in the low signal‐to‐noise ratio (SNR) region. Hence, the first contribution of this paper is to derive a new and easy way to evaluate analytical ABER expression that improves the validation of the simulation results at low SNRs. Secondly, a novel system termed CGSM with enhanced spectral efficiency (CGSM‐ESE) is presented. This system is realised by applying a rotation angle to one of the two active transmit antennas. As a result, the overall spectral efficiency is increased by 1 bit/s/Hz when compared with the equivalent CGSM system. In order to validate the simulation results of CGSM‐ESE, the third contribution is to derive an analytical ABER expression. Finally, to improve the ABER performance of CGSM‐ESE, three link adaptation algorithms are developed. By assuming full knowledge of the channel at the receiver, the proposed algorithms select a subset of channel gain vector (CGV) pairs based on the Euclidean distance between all CGV pairs, CGV splitting, CGV amplitudes, or a combination of these.

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Adaptive joint mapping generalised spatial modulation

Cited by 14 publications

References 10 publications

Adaptive generalized space shift keying

Adaptive generalized space shift keying

Signal-Spatial Constellation Optimization for Generalized Spatial Modulation

Improved error performance for generalised spatial modulation with enhanced spectral efficiency

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