Article (Scientific journals)
Coverage Probability of Double-IRS Assisted Communication Systems
Papazafeiropoulos, Anastasios; Kourtessis, Pandelis; Chatzinotas, Symeon et al.
2021In IEEE Wireless Communications Letters, 10 (8), p. 1722-1726
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Abstract :
[en] In this paper, we derive 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 derive 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 th large-scale statistics, we achieve to perform optimization of the RBM of both IRSs at every several coherence intervals rather at each interval. This property, based on statistical channel state information (CSI), is of paramount importance in multi-IRS assisted networks, which are accompanied with increased computational complexity during their RBM optimization. Numerical results validate the tightness of the analytical results even for small IRSs and reveal insightful properties.
Disciplines :
Computer science
Author, co-author :
Papazafeiropoulos, Anastasios
Kourtessis, Pandelis
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Senior, John M.
External co-authors :
yes
Language :
English
Title :
Coverage Probability of Double-IRS Assisted Communication Systems
Publication date :
2021
Journal title :
IEEE Wireless Communications Letters
ISSN :
2162-2345
Publisher :
IEEE Communications Society, Piscataway, United States - New Jersey
Volume :
10
Issue :
8
Pages :
1722-1726
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Available on ORBilu :
since 06 January 2022

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