Reference : Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/49526
Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels
English
Papazafeiropoulos, Anastasios []
Pan, Cunhua []
Elbir, Ahmet []
Kourtessis, Pandelis []
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Senior, John M. []
2021
IEEE Wireless Communications Letters
IEEE Communications Society
Yes (verified by ORBilu)
2162-2337
2162-2345
Piscataway
NJ
[en] 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.
http://hdl.handle.net/10993/49526
https://arxiv.org/abs/2102.09416

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