Accurate Performance Analysis of Reconfigurable Intelligent Surfaces Over Rician Fading Channels

Salhab, Anas M.; Samuh, Monjed H.

doi:10.1109/lwc.2021.3056758

Cited by 102 publications

(75 citation statements)

References 18 publications

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“…If ρ C = 1 and h 0 = 0 (i.e., no outdated CSI and no direct link), the EC reduces to that obtained in [14], as expected.…”

Section: Performance Analysissupporting

confidence: 72%

Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments

Zhang¹,

Zhang²,

Renzo³

et al. 2022

Preprint

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In this paper, we investigate the performance of an RIS-aided wireless communication system subject to outdated channel state information that may operate in both the near-and far-field regions.In particular, we take two RIS deployment strategies into consideration: (i) the centralized deployment, where all the reflecting elements are installed on a single RIS and (ii) the distributed deployment, where the same number of reflecting elements are placed on multiple RISs. For both deployment strategies, we derive accurate closed-form approximations for the ergodic capacity, and we introduce tight upper and lower bounds for the ergodic capacity to obtain useful design insights. From this analysis, we unveil that an increase of the transmit power, the Rician-K factor, the accuracy of the channel state information and the number of reflecting elements help improve the system performance. Moreover, we prove that the centralized RIS-aided deployment may achieve a higher ergodic capacity as compared with the distributed RIS-aided deployment when the RIS is located near the base station or near the user. In different setups, on the other hand, we prove that the distributed deployment outperforms the centralized deployment. Finally, the analytical results are verified by using Monte Carlo simulations.

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“…If ρ C = 1 and h 0 = 0 (i.e., no outdated CSI and no direct link), the EC reduces to that obtained in [14], as expected.…”

Section: Performance Analysissupporting

confidence: 72%

Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments

Zhang¹,

Zhang²,

Renzo³

et al. 2022

Preprint

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“…Combining of ( 21), (36), and (37), we can obtain the first and the second moments of Y as in (19) and (20), respectively.…”

Section: Performance Analysismentioning

confidence: 99%

“…Furthermore, expectation-maximization learning algorithm has been proposed for modeling the channel and improving the outage performance of the multiple RISs assisted wireless system [16]. Also, different channel models such as Rayleigh, Nakagami-m, and Rician fading channels have been considered for RISs assisted wireless communication systems [9], [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Performance of Cooperative Communication System With Multiple Reconfigurable Intelligent Surfaces Over Nakagami-m Fading Channels

et al. 2022

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In this paper, the advantages of multiple reconfigurable intelligent surfaces (RISs) assisted wireless systems and direct link between two terminals are exploited by considering a cooperative communication system where reflecting links created by multiple RISs and the direct link are combined at the receiver. We mathematically analyze the performance of the cooperative multiple RISs -direct link (RIS-D) system over Nakagami-m fading channels by obtaining the symbol error probability (SEP) expression. In addition, the SEP of the single-input single-output (SISO) system without RISs (i.e., there is only direct link between two terminals) is also obtained for convenience in comparison the performance of the cooperative RIS-D and SISO systems. We demonstrate the correctness of the derived expressions via Monte-Carlo simulations. Numerical results show that the SEP of the cooperative RIS-D system significantly lower than that of the SISO system for a certain transmission power of the transmitter. Also, for a certain SEP target, the cooperative RIS-D system can greatly save energy consumption in comparison with the SISO system. Specifically, increasing the number of RISs or the number of reflecting elements (REs) in the RISs can remarkably reduce the SEP of the cooperative RIS-D system. On the other hand, the impacts of the system parameters such as the number of RISs, the number of REs, and the Nakagami-m fading channels are fully investigated to clearly indicate their influences on the SEP of the cooperative RIS-D system.

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“…Moreover, simple expressions are derived for the asymptotic outage probability, diversity, and coding gains. Compared to [10], which studied the performance of RIS-aided networks over Rician fading channels, we provide here a new optimization problem for finding the optimum number of reflecting elements using two different approaches, in addition to the exact solution. Compared to Rician fading, which fits the case when there is one line-of-sight path between transmitter and receiver plus a number of other paths, Nakagami-m fading is more versatile and can be used to model a large variety of fading channels by changing the value of its shape parameter m in its equation [15].…”

Section: Motivated By Aforementioned Work This Work Derives the Channel Distributions Of Ris-aided Systems Adoptingmentioning

confidence: 99%

“…And even at a high number of reflecting elements, still, the CLT results diverge from the actual behavior of RIS as we go further in increasing the average signal-to-noise ratio (SNR), as will be seen in our results. To solve this problem, the authors in [8] and [9] have obtained new channel distributions for RISaided networks assuming Raleigh fading channels and over Rician fading channels in [10]. The error probability behavior of RIS-assisted network has been considered recently in [11] under Nakagami-m fading environment.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Optimization of RIS-Assisted Networks in Nakagami-m Environment

Samuh

Salhab

El‐Malek³

2021

Preprint

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This work studies and optimizes the performance of reconfigurable intelligent surface (RIS)-aided networks in Nakagami- m fading environment. First, accurate closed-form approximations for the channel distributions are derived. Then, closed-form formulas for the system outage probability, average symbol error probability (ASEP), and the channel capacity are obtained. Furthermore, we provide three different optimization approaches for finding the optimum number of reflecting elements to achieve a target outage probability. At the high signal-to-noise ratio (SNR) regime, a closed-form expression for the asymptotic outage probability is obtained to give more insights into the system performance. Results show that the considered system can achieve a diversity order of, where a is a function of the Nakagami- m fading parameter m and the number of reflecting elements N . Moreover, findings show that m is more influential on the diversity order than N . Finally, the achieved expressions are applicable to non-integer values of m and any number of meta-surface elements N .

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Accurate Performance Analysis of Reconfigurable Intelligent Surfaces Over Rician Fading Channels

Cited by 102 publications

References 18 publications

Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments

Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments

Performance of Cooperative Communication System With Multiple Reconfigurable Intelligent Surfaces Over Nakagami-m Fading Channels

Performance Analysis and Optimization of RIS-Assisted Networks in Nakagami-m Environment

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