Coverage Probability of Double-IRS Assisted Communication Systems

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...

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Bibliographic Details
Published in:IEEE wireless communications letters Vol. 11; no. 1; pp. 96 - 100
Main Authors: Papazafeiropoulos, Anastasios, Kourtessis, Pandelis, Chatzinotas, Symeon, Senior, John M.
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Array signal processing
Beamforming
beyond 5G networks
Coherence
Communications systems
cooperative passive beamforming
Correlation
Correlation analysis
coverage probability
distributed IRSs
Exact solutions
Intelligent reflecting surface (IRS)
Mathematical analysis
Optimization
Probability
Rayleigh channels
Reflection
Signal to noise ratio
SISO (control systems)
Statistical analysis
Wireless networks
ISSN:2162-2337, 2162-2345
Online Access:Get full text
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Summary: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.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2021.3121209