Performance evaluation of RIS-based SSK and SM schemes with perfect and imperfect channel phase estimation over Weibull fading channels

Salan, Onur; Bayar, Ferhat; İlhan, Hacı

doi:10.1016/j.aeue.2021.153713

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…1) Under the wrong antenna decision, m = m: The MGF of Γ 21 , Γ 22 and Γ 23 derived from (12) with suitable modifications in (14)(15), (19). Covariance ( C) and mean (x) entites are given for MGF of (Γ 21 + Γ 22 ) in Table IV and Table V respectively.…”

Section: B the Mgfs Derivation For Second Time Slotmentioning

confidence: 99%

“…In [13], the researcher proposed RIS aided SSK (RIS-SSK) and RIS based SM (RIS-SM) schemes in collaboration with IM systems on the RIS scheme. Also, [13] and [14] provide the error performance analysis of RISbased IM over the Rayleigh fading channel and Weibull fading channel, respectively. Alamouti scheme was used with a RIS scheme in [15].…”

Section: Introductionmentioning

confidence: 99%

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Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation

Bayar¹,

Salan²,

İlhan³

et al. 2022

Preprint

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Reconfigurable intelligent surface (RIS) structures reflect the incident signals by adjusting phase adaptively according to the channel condition where doing transmission in order to increase signal quality at the receiver. Besides, the spatial modulation (SM) technique is a possible candidate for future energy-efficient wireless communications due to providing better throughput, low-cost implementation and good error performance. Also, Alamouti's space-time block coding (ASBC) is an important space and time coding technique in terms of diversity gain and simplified ML detection. In this paper, we proposed the RIS assisted received spatial modulation (RSM) scheme with ASBC, namely RIS-RSM-ASBC. The termed RIS is portioned by two parts in the proposed system model. Each one is utilized as an access point (AP) to transmit its Alamouti coded information while reflecting passive signals to the selected received antenna. The optimal maximum likelihood (ML) detector is designed for the proposed RIS-RSM-ASBC scheme. Extensive computer simulations are conducted to corroborate theoretical derivations. Results show that RIS-RSM-ASBC system is highly reliable and provides data rate enhancement in contrast to conventional RIS assisted transmit SM (RIS-TSM), RIS assisted transmit quadrature SM (RIS-TQSM), RIS assisted received SM (RIS-RSM), RIS assisted transmit space shift keying with ASBC (RIS-TSSK-ASBC) and RIS-TSSK-VBLAST schemes.

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Section: B the Mgfs Derivation For Second Time Slotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation

Bayar¹,

Salan²,

İlhan³

et al. 2022

Preprint

Self Cite

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show abstract

“…As a consequence, other more general distributions, such as the Weibull distribution, have been considered for these scenarios [ 2 , 3 , 4 ]. In addition, it has been shown that the Weibull distribution is a versatile fading model due to its flexibility and excellent fit to experimental data [ 5 , 6 ]. Moreover, the Weibull fading model encompasses, as special cases, the Rayleigh, exponential and one-sided Gaussian distributions.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of Decode-and-Forward Equal-Gain-Combining Relay Systems over Weibull Fading Channels

Lucero

Mora

Garzón

et al. 2023

Sensors

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Relay-assisted wireless communications, where both the relay and the final destiny employ diversity-combining techniques, represent a compelling strategy for improving the signal-to-noise ratio (SNR) for mobile terminals, mainly at millimeter-wave (mmWave) frequency bands. In this sense, this work considers a wireless network that employs a dual-hop decode-and-forward (DF) relaying protocol, in which the receivers at the relay and at the base station (BS) use an antenna array. Moreover, it is considered that the received signals are combined at reception using equal-gain-combining (EGC). Recent works have enthusiastically employed the Weibull distribution so as to emulate the small-scale fading behavior in mmWave frequencies, which also motivates its use in the present work. For this scenario, exact and asymptotic expressions for the system’s outage probability (OP) and average bit error probability (ABEP) are derived in closed form. Useful insights are gained from these expressions. More precisely, they illustrate how the system and fading parameters affect the performance of the DF-EGC system. Monte Carlo simulations corroborate the accuracy and validity of the derived expressions. Furthermore, the mean achievable rate of the considered system is also evaluated via simulations. Useful insights regarding the system performance are obtained from these numerical results.

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“…Furthermore, various applications of RIS were investigated, such as using RIS to create a virtual line-of-sight (LOS) link between BS and user where it's not feasible to establish a direct reliable link, improving the physical layer security in a wireless network, or realizing simultaneous wireless information and power transfer (SWIPT) in an Internet-of-things (IoT) network [8], [11]. Additionally, RIS-based space shift keying (SSK), spatial modulation (SM) and media-based modulation (MBM) schemes were proposed in [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning Assisted Reconfigurable Intelligent Surfaces for Cooperative Communications

Sagir¹,

Aydin²,

İlhan³

2022

Preprint

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Reconfigurable intelligent surfaces (RISs) are software-controlled passive devices to reflect incoming signals from the source (𝑆) to destination (𝐷), just like a relay (𝑅) with optimum signal strength, improving the performance of wireless communication networks. The configurable nature of the RIS can provide network designers the flexibility to use in a stand-alone or cooperative configuration with many advantages over conventional networks. In this paper, two new deep neural networks (DNN) assisted cooperative RIS models, namely DNN 𝑅 -CRIS and DNN 𝑅,𝐷 -CRIS, are proposed for cooperative communications. In these two models, the potential of RIS deployment as a relaying element in a next-generation cooperative network is investigated using deep learning (DL) techniques as a tool for optimizing the RIS. To reduce maximum likelihood (ML) complexity at the 𝐷, unlike the DNN 𝑅 -CRIS, in the DNN 𝑅,𝐷 -CRIS model, a new DNN based symbol detection method is presented for the same network model. For a different number of relays and receiver configurations, bit error rate (BER) performance results of the proposed DNN 𝑅 -CRIS, DNN 𝑅,𝐷 -CRIS models and traditional cooperative RIS (CRIS) scheme (without DNN) are presented for a multi-relay cooperative communication scenario with path loss effects. It's revealed that the proposed DNN based two models show promising results in terms of BER even in high noise environments with low system complexity.

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Performance evaluation of RIS-based SSK and SM schemes with perfect and imperfect channel phase estimation over Weibull fading channels

Cited by 8 publications

References 20 publications

Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation

Space-Time Block Coded Reconfigurable Intelligent Surface-Based Received Spatial Modulation

On the Performance of Decode-and-Forward Equal-Gain-Combining Relay Systems over Weibull Fading Channels

Deep-Learning Assisted Reconfigurable Intelligent Surfaces for Cooperative Communications

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