Performance Analysis  of Wireless Mesh Backhauling Using Intelligent Reflecting Surface

Al‐Jarrah, Mohammad; Al-Dweik, Arafat; Alsusa, Emad

doi:10.36227/techrxiv.12543167.v1

Cited by 4 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the direct link between the two BSs suffers from shadowing or even failures, the RIS will play an important role in providing an alternate path for the fronthaul/backhaul connectivity between the two BSs. The authors in [24] considered the deployment of RIS for wireless multi-hop backhauling of multiple BSs. The performance of the proposed scheme is evaluated in terms of outage probability.…”

Section: B Bs-ris-bs Use Casementioning

confidence: 99%

Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces

Almasoud¹,

Selim²,

Alsharoa³

et al. 2021

Preprint

View full text Add to dashboard Cite

Recently, there has been a flurry of research on the use of Reconfigurable Intelligent Surfaces (RIS) in wireless networks to create dynamic radio environments. In this paper, we investigate the use of an RIS panel to improve bi-directional communications. Assuming that the RIS will be located on the facade of a building, we propose to connect it to a solar panel that harvests energy to be used to power the RIS panel's smart controller and reflecting elements. Therefore, we present a novel framework to optimally decide the transmit power of each user and the number of elements that will be used to reflect the signal of any two communicating pair in the system (user-user or base station-user). An optimization problem is formulated to jointly minimize a scalarized function of the energy of the communicating pair and the RIS panel and to find the optimal number of reflecting elements used by each user. Although the formulated problem is a mixed-integer nonlinear problem, the optimal solution is found by linearizing the non-linear constraints. Besides, a more efficient close to the optimal solution is found using Bender decomposition. Simulation results show that the proposed model is capable of delivering the minimum rate of each user even if line-of-sight communication is not achievable.

show abstract

Section: B Bs-ris-bs Use Casementioning

confidence: 99%

Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces

Almasoud¹,

Selim²,

Alsharoa³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The error probability analysis of IRS based systems has been considered in [41]- [46]. Nevertheless, the only work that considered the bit error rate with imperfect phase estimation is [47], where the phase error and fading coefficients are modeled as von Mises and Nakagami-m distributions, respectively.…”

Section: A Related Workmentioning

confidence: 99%

IRS-Assisted UAV Communications with Imperfect Phase Compensation

Al-Dweik¹,

Al‐Jarrah²,

Alsusa³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

<div>This work presents a performance analysis on unmanned aerial vehicles (UAVs) assisted wireless</div><div>communications systems, where one of the UAVs supports intelligent reflecting surfaces (IRS). As the</div><div>estimation and compensation of the end-to-end phase for each propagation path is prone to errors, imperfect</div><div>phase compensation at the IRS is taken into consideration. The performance is derived in terms of symbol</div><div>error rate (SER) and outage probability, where the phase error is modeled using the von Mises distribution.</div><div>The air-to-air (A2A) channel for</div><div>each propagation path is modeled as a single dominant line-of-sight (LoS) component, and the results are</div><div>compared to the Rician channel model. The obtained results reveal that the considered A2A model can be</div><div>used to accurately represent the A2A channel with Rician fading.</div>

show abstract

“…The values of the phaseshifts for all reflectors are computed such that the reflected signals add coherently in the medium, and consequently the signal-to-noise ratio (SNR) can be significantly increased. The phase values are typically computed by the BS and sent to the programmable IRS through a control channel [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

Al‐Jarrah¹,

Alsusa²,

Al-Dweik³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

<div>This paper presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter k. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when k>6.</div>

show abstract

Performance Analysis of Wireless Mesh Backhauling Using Intelligent Reflecting Surface

Cited by 4 publications

References 11 publications

Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces

Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces

IRS-Assisted UAV Communications with Imperfect Phase Compensation

Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

Contact Info

Product

Resources

About