Reconfigurable Intelligent Surface-Assisted Space Shift Keying

Canbilen, Ayşe Elif; Başar, Ertuğrul; Ikki, Salama

doi:10.1109/lwc.2020.2994930

Cited by 113 publications

(47 citation statements)

References 19 publications

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“…The obtained results show that RISbased spatial modulation is capable of providing high data rates at low error rates. A similar study can be found in [83].…”

Section: F Surface-based Modulation and Encodingsupporting

confidence: 81%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,250

918

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What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle? These are a few of the many questions that we investigate in this short opus, which has the threefold objective of introducing the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, putting forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and reporting pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

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“…The obtained results show that RISbased spatial modulation is capable of providing high data rates at low error rates. A similar study can be found in [83].…”

Section: F Surface-based Modulation and Encodingsupporting

confidence: 81%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,250

918

View full text Add to dashboard Cite

show abstract

“…. , N t [20], [25]. We note that the practical case of correlated fading [35] will be considered in future work.…”

Section: A System Modelmentioning

confidence: 99%

“…Due to the attractive advantages, researchers are also utilizing RISs to enhance other existing techniques, such as non-orthogonal multiple access [22] and orthogonal frequency division multiplexing [23]. As the authors in [24] applied reconfigurable antennas to SSK, the authors in [25] proposed the intelligent RIS-SSK, which makes real-time adjustments to the reflection coefficients for maximizing the instantaneous receive SNR provided that the active antenna index is known to the RIS per transmission.…”

mentioning

confidence: 99%

“…• The first proposed scheme, which is called RIS-SSK with PB (RIS-SSK-PB), employs an RIS for PB and targets the maximization of the minimum squared Euclidean distance between any two decision points. Compared with the intelligent RIS-SSK scheme in [25], RIS-SSK-PB achieves the following advantages: 1) the knowledge of the active antenna index is not required any more at the RIS; 2) the reflection coefficients are not adjusted online per transmission any more; and 3) higher diversity gains can be obtained with the same detection complexity. We devise a semi-definite relaxation (SDR) method for the considered RIS reflection optimization problem as well as a low-complexity algorithm.…”

mentioning

confidence: 99%

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Space Shift Keying With Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis

Wen

Wang

et al. 2021

IEEE Open J. Commun. Soc.

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Reconfigurable intelligent surface (RIS)-assisted transmission and space shift keying (SSK) appear as promising candidates for future energy-efficient wireless systems. In this paper, two RIS-based SSK schemes are proposed to efficiently improve the error and throughput performance of conventional SSK systems, respectively. The first one, termed RIS-SSK with passive beamforming (RIS-SSK-PB), employs an RIS for beamforming and targets the maximization of the minimum squared Euclidean distance between any two decision points. The second one, termed RIS-SSK with Alamouti space-time block coding (RIS-SSK-ASTBC), employs an RIS for ASTBC and enables the RIS to transmit its own Alamouti-coded information while reflecting the incident SSK signals to the destination. A low-complexity beamformer and an efficient maximum-likelihood (ML) detector are designed for RIS-SSK-PB and RIS-SSK-ASTBC, respectively. Approximate expressions for the average bit error probabilities of the source and/or the RIS are derived in closed-form assuming ML detection. Extensive computer simulations are conducted to verify the performance analysis. Results show that RIS-SSK-PB significantly outperforms the existing RIS-free and RIS-based SSK schemes, and RIS-SSK-ASTBC enables highly reliable transmission with throughput improvement.

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“…For coping with the dramatically increasing data traffic, novel transmission schemes are in urgent demand for improving the throughput while minimizing the deployment complexity. Among numerous cutting-edge techniques, spatial modulation (SM) [1][2][3][4][5][6][7] has constitute a promising next generation scheme for massive machine type communications (mMTC) [8][9][10], for TeraHertz communications [11] and for intelligent reconfigurable surfaces (IRS) [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation

et al. 2020

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Reconfigurable Intelligent Surface-Assisted Space Shift Keying

Cited by 113 publications

References 19 publications

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Space Shift Keying With Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis

Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation

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