University of Hertfordshire

From the same journal

By the same authors

Coverage Probability of Double-IRS Assisted Communication Systems

Research output: Contribution to journalArticlepeer-review

Standard

Coverage Probability of Double-IRS Assisted Communication Systems. / Papazafeiropoulos, Anastasios; Kourtessis, Pandelis; Chatzinotas, Symeon; Senior, John M.

In: IEEE Wireless Communications Letters, Vol. 11, No. 1, 01.01.2022, p. 96-100.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Bibtex

@article{31db4c0577e84fd8a77a472d2b4a4954,
title = "Coverage Probability of Double-IRS Assisted Communication Systems",
abstract = "In this letter, we focus on the coverage probability of a double-intelligent reflecting surface (IRS) assisted wireless network and study the impact of multiplicative beamforming gain and correlated Rayleigh fading. In particular, we obtain a novel closed-form expression of the coverage probability of a single-input single-output (SISO) system assisted by two large IRSs while being dependent on the corresponding arbitrary reflecting beamforming matrices (RBMs) and large-scale statistics in terms of correlation matrices. Taking advantage of the large-scale statistics, i.e., statistical channel state information (CSI), we perform optimization of the RBMs of both IRSs once per several coherence intervals rather than at each interval. Hence, we achieve a reduction of the computational complexity, otherwise increased in multi-IRS-assisted networks during their RBM optimization. Numerical results validate the analytical expressions even for small IRSs, confirm enhanced performance over the conventional single-IRS counterpart, and reveal insightful properties. ",
keywords = "beyond 5G networks, cooperative passive beamforming, coverage probability, distributed IRSs, Intelligent reflecting surface (IRS)",
author = "Anastasios Papazafeiropoulos and Pandelis Kourtessis and Symeon Chatzinotas and Senior, {John M.}",
note = "Funding Information: This work was supported in part by the University of Hertfordshire's 5-Year Vice Chancellor's Research Fellowship and in part by Luxembourg National Research Fund (FNR) under the CORE project RISOTTI under Grant C20/IS/14773976 Publisher Copyright: {\textcopyright} 2012 IEEE.",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/LWC.2021.3121209",
language = "English",
volume = "11",
pages = "96--100",
journal = "IEEE Wireless Communications Letters",
issn = "2162-2337",
publisher = "IEEE",
number = "1",

}

RIS

TY - JOUR

T1 - Coverage Probability of Double-IRS Assisted Communication Systems

AU - Papazafeiropoulos, Anastasios

AU - Kourtessis, Pandelis

AU - Chatzinotas, Symeon

AU - Senior, John M.

N1 - Funding Information: This work was supported in part by the University of Hertfordshire's 5-Year Vice Chancellor's Research Fellowship and in part by Luxembourg National Research Fund (FNR) under the CORE project RISOTTI under Grant C20/IS/14773976 Publisher Copyright: © 2012 IEEE.

PY - 2022/1/1

Y1 - 2022/1/1

N2 - In this letter, we focus on the coverage probability of a double-intelligent reflecting surface (IRS) assisted wireless network and study the impact of multiplicative beamforming gain and correlated Rayleigh fading. In particular, we obtain a novel closed-form expression of the coverage probability of a single-input single-output (SISO) system assisted by two large IRSs while being dependent on the corresponding arbitrary reflecting beamforming matrices (RBMs) and large-scale statistics in terms of correlation matrices. Taking advantage of the large-scale statistics, i.e., statistical channel state information (CSI), we perform optimization of the RBMs of both IRSs once per several coherence intervals rather than at each interval. Hence, we achieve a reduction of the computational complexity, otherwise increased in multi-IRS-assisted networks during their RBM optimization. Numerical results validate the analytical expressions even for small IRSs, confirm enhanced performance over the conventional single-IRS counterpart, and reveal insightful properties.

AB - In this letter, we focus on the coverage probability of a double-intelligent reflecting surface (IRS) assisted wireless network and study the impact of multiplicative beamforming gain and correlated Rayleigh fading. In particular, we obtain a novel closed-form expression of the coverage probability of a single-input single-output (SISO) system assisted by two large IRSs while being dependent on the corresponding arbitrary reflecting beamforming matrices (RBMs) and large-scale statistics in terms of correlation matrices. Taking advantage of the large-scale statistics, i.e., statistical channel state information (CSI), we perform optimization of the RBMs of both IRSs once per several coherence intervals rather than at each interval. Hence, we achieve a reduction of the computational complexity, otherwise increased in multi-IRS-assisted networks during their RBM optimization. Numerical results validate the analytical expressions even for small IRSs, confirm enhanced performance over the conventional single-IRS counterpart, and reveal insightful properties.

KW - beyond 5G networks

KW - cooperative passive beamforming

KW - coverage probability

KW - distributed IRSs

KW - Intelligent reflecting surface (IRS)

UR - http://www.scopus.com/inward/record.url?scp=85118249773&partnerID=8YFLogxK

U2 - 10.1109/LWC.2021.3121209

DO - 10.1109/LWC.2021.3121209

M3 - Article

AN - SCOPUS:85118249773

VL - 11

SP - 96

EP - 100

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

SN - 2162-2337

IS - 1

ER -