Modified Spatial Modulation and Low Complexity Signal Vector Based Minimum Mean Square Error Detection for MIMO Systems under Spatially Correlated Channels

Jaiswal, Gaurav; Gudla, Vishnu Vardhan; Kumaravelu, Vinoth Babu; Reddy, G. Ramachandra; Arthi, M.

doi:10.1007/s11277-019-06770-8

Cited by 11 publications

(8 citation statements)

References 34 publications

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“…36 It has been proved that most of the SM variants perform poorly under spatial correlation. [36][37][38][39] The indoor line of sight (LoS) conditions also affect the spatial correlation. The antenna elements contributing to smaller angle (higher correlation) are discarded.…”

Section: Sm Variantmentioning

confidence: 99%

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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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Section: Sm Variantmentioning

confidence: 99%

“…The spatial correlation between the antenna elements degrades ABER performance significantly. [36][37][38][39] The ultimate aim of this scheme is to limit the correlation between the transmit antenna elements. Later, this scheme was tested for QSM.…”

Section: Transmit Antenna Selection Using Correlationmentioning

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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“…MRC receivers, on the other hand, use a very low-complexity algorithm, because they do not have the implementation complexity due to pseudo-inverse channel matrix as we have for both ZF and MMSE. This complexity is an important problem where some recent researches proposed different algorithms to reduce the complexity due to the large-dimensional matrix inversion specially for massive MIMO systems [15]- [17].…”

Section: -Introductionmentioning

confidence: 99%

A Low Complexity Adaptive Scheme for Massive MIMO Systems with MRC Receiver

Radbord

2021

Preprint

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This paper evaluates a low-complexity Multiuser Adaptive Modulation (MAM) scheme for an uplink massive multiple input and multiple output (MIMO) systems with maximum-ratio combining linear receivers, which requires only slow-varying large-scale shadowing information for the users. For a channel that includes both small-scale and large-scale fading, the probability density function of signal-to-interference-plus-noise ratio is analytically calculated for the first time and verified by simulation. Also, closed-form expressions are derived for the average spectral efficiency and bit error outage. Since, the MRC is desirable in low transmit power, the previous expression is approximated at low power values. Moreover, the paper investigates different users’ arrangements around the base station to achieve the maximum possible bit rate. For MAM with joint power control, optimal power adaptation strategy switching thresholds are also acquired. Compared to the research literature, the proposed adaptive scheme by the MRC receiver, gives similar performance as a proper adaptive method at low power transmission.

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“…SM yields lower spectral efficiency when operated with massive MIMO i.e., employing huge number of antennas at the transmitter/receiver. In order to improve the spectral efficiency, various SM variants are introduced [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. A comparative study of various SM variants in terms of spectral efficiency, computational complexity, number of active RF chains, advantages and disadvantages is listed in [19].…”

Section: Introductionmentioning

confidence: 99%

“…In redesigned spatial modulation (ReSM) and modified spatial modulation (MSM), a unique bits-to-antenna index mapping scheme is introduced, which guarantees the transmission of modulated symbols from minimal correlated antennas [18,22,23]. These schemes activate a maximum of two transmit antennas.…”

Section: Introductionmentioning

confidence: 99%

Spatial Correlation Based Transmit Antenna Selection Assisted Fully Generalized Spatial Modulation for Peer-to-Peer Communications

Kumaravelu

Gudla

Asha

et al. 2021

Preprint

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The next generation technologies like device-to-device ( D2D ) and small cells employ small scale multiple input multiple output ( MIMO ) systems for peer-to-peer ( P2P ) communications. Due to higher spectral and energy efficiencies , spatial modulation (SM) has become one of the dominant next generation technologies. To maximize spectral efficiency and user experience, high rate SM variants like fully generalized spatial modulation ( FGSM ) can be employed for P2P applications. Due to insufficient spacing between antenna elements of devices, access points (AP), millimetre wave ( mmWave ) and sub- THz bands of operations, the performance of SM variants are hindered in P2P scenarios. The average bit error rate ( ABER ) performance of FGSM is severely degraded by atleast 13 dB under spatially correlated channel conditions. To enhance the performance of FGSM , three different transmit antenna selection ( TAS ) schemes are utilized, which eliminate transmit antennas with maximum spatial correlation. First TAS scheme performs antenna selection based on spatial correlation angle alone, whereas other two schemes use channel capacity in addition to spatial correlation angle. Through extensive Monte Carlo simulations, it has been proved that TAS based on spatial correlation ( TAS -SC- FGSM ) scheme offers a performance gain of at least 8 dB over conventional FGSM without antenna selection ( FGSM - NTAS ). TAS -SC- FGSM also outperforms other two hybrid TAS schemes at the cost of higher computational complexity.

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Modified Spatial Modulation and Low Complexity Signal Vector Based Minimum Mean Square Error Detection for MIMO Systems under Spatially Correlated Channels

Cited by 11 publications

References 34 publications

Transmit antenna selection strategies for spectrally efficient spatial modulation techniques

Transmit antenna selection strategies for spectrally efficient spatial modulation techniques

A Low Complexity Adaptive Scheme for Massive MIMO Systems with MRC Receiver

Spatial Correlation Based Transmit Antenna Selection Assisted Fully Generalized Spatial Modulation for Peer-to-Peer Communications

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