Generalized quadrature spatial modulation techniques for VLC

Celik, Yasin; Aldırmaz-Çolak, Sultan

doi:10.1016/j.optcom.2020.125905

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…Firstly, we consider the maximum achievable rate of the proposed GQSM scheme seen in (17). Since the floor operation in R m GQSM makes it complex to analyze, we use Ñ o α in 2 We note that single-stream GQSM is reported in [26], [28], and its rate is R ss−GQSM = 2 log 2 Nt Nα + log 2 M . Since the achievable rate of single-stream GQSM is on the same order of magnitude as TI-GSM and GSM, and to avoid confusion with the two multi-stream GQSM schemes in this paper, we do not consider it next.…”

Section: The Rate Comparison Between the Gqsm Scheme And Other Transm...mentioning

confidence: 99%

“…Moreover, transmitter preprocessing exploiting the channel state information at the transmitter (CSIT) has also been conceived for further enhancing the performance of GQSM [27], [29]- [31], [38], [39]. Single-stream GQSM was proposed in [26]- [28] for eliminating the inter-antenna interference (IAI), but its rate improvement was far lower than that of the multistream GQSM of [25]. In [40], GQSM was amalgamated with the non-orthogonal multiple access (NOMA) technique as a potential solution for employment in cooperative vehicular networks.…”

Section: Introductionmentioning

confidence: 99%

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The Achievable Rate Analysis of Generalized Quadrature Spatial Modulation and a Pair of Low-Complexity Detectors

Liu

et al. 2022

IEEE Trans. Veh. Technol.

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Generalized quadrature spatial modulation (GQSM) seamlessly amalgamates the generalized spatial modulation (GSM), quadrature spatial modulation (QSM) and vertical Bell Laboratories layered space-time (V-BLAST) techniques. In contrast to traditional multiple-input multiple-output (MIMO) schemes transmitting information bits only through the constellation defined on the complex plane, GQSM transmits additional information bits implicitly by selecting the transmit antenna (TA) activation pattern. The philosophy of QSM is that of separating the indices of the real and the imaginary parts of the transmit symbols, which increases the attainable throughput.In this paper, we analyze the inherent benefits of GQSM in terms of throughput. More specifically, we first derive the achievable rate expression of the recent GQSM scheme and unveil the condition for GQSM to approach the maximum rate. Furthermore, we compare the rate of the GQSM scheme to that of other transmission schemes and reveal the conditions for the GQSM's maximum throughput to exceed that of the benchmark schemes. Simulation results show that when the number of TAs is 40 and quadrature phase shift keying (QPSK) is adopted, the rate of the GQSM scheme may reach 150% of that of V-BLAST. Additionally, a pair of low-complexity detectors are conceivedone based on ordered successive interference cancellation (OSIC) and another one on the orthogonal matching pursuit (OMP) algorithm.

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Section: The Rate Comparison Between the Gqsm Scheme And Other Transm...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Achievable Rate Analysis of Generalized Quadrature Spatial Modulation and a Pair of Low-Complexity Detectors

Liu

et al. 2022

IEEE Trans. Veh. Technol.

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“…GQSM is also employed for multiple-input and single-output (MISO) visible light communication (VLC) systems. 20 The analytical upper bound expressions are also derived. Double SM (DSM) is a recently developed SM variant, which effectively doubles the spectral efficiency of SM.…”

Section: Spatial Modulation Variantsmentioning

confidence: 99%

“…GQSM is also employed for multiple‐input and single‐output (MISO) visible light communication (VLC) systems 20 . The analytical upper bound expressions are also derived.…”

Section: Introductionmentioning

confidence: 99%

Transmit antenna selection strategies for spectrally efficient spatial modulation techniques

Gudla

Kumaravelu

Asha

et al. 2022

Int J Communication

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Summary Fifth‐generation (5G) networks are expected to offer unprecedented amounts of spectral and energy efficiency. Spatial modulation (SM) techniques have the capability to achieve an appealing trade‐off between these conflicting design parameters. Fully generalized SM (FGSM) and fully quadrature SM (FQSM) are the recent high‐rate SM variants, where the spectral efficiency is linearly proportional to the number of transmit antennas. The transmit antenna selection schemes can efficiently improve the average bit error rate (ABER) performance of SM techniques. The main objective of this work is to investigate the employment of transmit antenna selection schemes to FGSM and FQSM. Initially, Euclidean distance optimized antenna selection (EDAS) scheme is employed to FGSM and FQSM. It offers superior performance than conventional FGSM/FQSM without transmit antenna selection at the cost of higher computational complexity. In order to reduce the complexity cost, four suboptimal schemes based on channel capacity, correlation and combination of them are proposed and employed to FGSM and FQSM. The suboptimal transmit antenna selection based on capacity and correlation (TAS‐A‐C) offers a minimum gain of ∼6 dB over conventional FGSM/FQSM with significantly lower complexity. In addition, the performance of all schemes is investigated for increased number of available transmit antennas. As the proposed schemes address the spectral and energy efficiency trade‐off effectively, while corroborating better ABER performance, they have the potential to become a competing candidate for next‐generation networks.

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“…As a joint scheme of generalized spatial modulation (GSM) and quadrature spatial modulation (QSM), generalized quadrature spatial modulation (GQSM) has been introduced in radio frequency (RF)-based vehicular networks and massive MIMO systems [9], [10]. Moreover, generalized optical QSM (GOQSM) has also been applied in visible lightbased OWC systems [11].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

et al. 2022

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In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. Considering the error propagation and noise amplification effects when applying maximum likelihood and maximum ratio combining (ML-MRC)-based detection, we further propose a deep neural network (DNN)-aided detection for OFDM-based GOQSM systems. The proposed DNN-aided detection scheme performs the GOQSM detection in a joint manner, which can efficiently eliminate the adverse effects of both error propagation and noise amplification. The obtained simulation results successfully verify the superiority of the deep learning-aided OFDMbased GOQSM technique for high-speed MIMO-OWC systems.

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Generalized quadrature spatial modulation techniques for VLC

Cited by 5 publications

References 35 publications

The Achievable Rate Analysis of Generalized Quadrature Spatial Modulation and a Pair of Low-Complexity Detectors

The Achievable Rate Analysis of Generalized Quadrature Spatial Modulation and a Pair of Low-Complexity Detectors

Transmit antenna selection strategies for spectrally efficient spatial modulation techniques

Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

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