Article (Scientific journals)
Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels
Van Chien, Trinh; Papazafeiropoulos, Anastasios K.; Thanh Tu, Lam et al.
2021In IEEE Wireless Communications Letters, 10 (8), p. 1815 - 1819
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Abstract :
[en] This letter investigates the impact of spatial channel correlation on the outage probability of intelligent reflecting surface (IRS)-assisted single-input single-output (SISO) communication systems. In particular, we derive a novel closed-form expression of the outage probability for arbitrary phase shifts and correlation matrices of the indirect channels. To shed light on the impact of the spatial correlation, we further attain the closed-form expressions for two common scenarios met in the literature when the large-scale fading coefficients are expressed by the loss over a propagation distance. Numerical results validate the tightness and effectiveness of the closed-form expressions. Furthermore, the spatial correlation offers significant decreases in the outage probability as the direct channel is blocked.
Disciplines :
Computer science
Author, co-author :
Van Chien, Trinh
Papazafeiropoulos, Anastasios K.
Thanh Tu, Lam
Chopra, Ribhu
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels
Publication date :
21 April 2021
Journal title :
IEEE Wireless Communications Letters
ISSN :
2162-2345
Publisher :
IEEE
Volume :
10
Issue :
8
Pages :
1815 - 1819
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 17 November 2021

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