Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Papazafeiropoulos, Anastasios, Pan, Cunhua, Elbir, Ahmet, Kourtessis, Pandelis, Chatzinotas, Symeon, Senior, John M.
Format: Preprint
Publié: 2021
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866910667714330624
author Papazafeiropoulos, Anastasios
Pan, Cunhua
Elbir, Ahmet
Kourtessis, Pandelis
Chatzinotas, Symeon
Senior, John M.
author_facet Papazafeiropoulos, Anastasios
Pan, Cunhua
Elbir, Ahmet
Kourtessis, Pandelis
Chatzinotas, Symeon
Senior, John M.
contents This paper suggests the use of multiple distributed intelligent reflecting surfaces (IRSs) towards a smarter control of the propagation environment. Notably, we also take into account the inevitable correlated Rayleigh fading in IRS-assisted systems. In particular, in a single-input and single-output (SISO) system, we consider and compare two insightful scenarios, namely, a finite number of large IRSs and a large number of finite size IRSs to show which implementation method is more advantageous. In this direction, we derive the coverage probability in closed-form for both cases contingent on statistical channel state information (CSI) by using the deterministic equivalent (DE) analysis. Next, we obtain the optimal coverage probability. Among others, numerical results reveal that the addition of more surfaces outperforms the design scheme of adding more elements per surface. Moreover, in the case of uncorrelated Rayleigh fading, statistical CSI-based IRS systems do not allow the optimization of the coverage probability.
format Preprint
id arxiv_https___arxiv_org_abs_2102_09416
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels
Papazafeiropoulos, Anastasios
Pan, Cunhua
Elbir, Ahmet
Kourtessis, Pandelis
Chatzinotas, Symeon
Senior, John M.
Information Theory
This paper suggests the use of multiple distributed intelligent reflecting surfaces (IRSs) towards a smarter control of the propagation environment. Notably, we also take into account the inevitable correlated Rayleigh fading in IRS-assisted systems. In particular, in a single-input and single-output (SISO) system, we consider and compare two insightful scenarios, namely, a finite number of large IRSs and a large number of finite size IRSs to show which implementation method is more advantageous. In this direction, we derive the coverage probability in closed-form for both cases contingent on statistical channel state information (CSI) by using the deterministic equivalent (DE) analysis. Next, we obtain the optimal coverage probability. Among others, numerical results reveal that the addition of more surfaces outperforms the design scheme of adding more elements per surface. Moreover, in the case of uncorrelated Rayleigh fading, statistical CSI-based IRS systems do not allow the optimization of the coverage probability.
title Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels
topic Information Theory
url https://arxiv.org/abs/2102.09416