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Coverage Analysis of IRS-Aided Millimeter-Wave Networks: A Practical Approach
  • Abdullah Etcibasi ,
  • Emre Aktas
Abdullah Etcibasi
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Emre Aktas
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Abstract

Intelligent reflecting surfaces (IRSs) have become a popular topic in recent years for their great potential for controlling the radio link environment of wireless networks. With this controlled environment, the coverage can be increased. In this paper, unlike the other works related to the IRS-aided coverage analysis, both two-dimensional buildings and the product-distance path loss model are considered for the indirect link for the first time. Leveraging the tools from stochastic geometry, the locations of base stations (BSs), buildings, and IRSs are modeled with a homogeneous Poisson point process (PPP). Then, a Gamma approximation for the distribution of the nearest-LoS-neighbor distance is proposed for analytical tractability. With the proposed approximation, a closed-form expression for the distribution of the product-distance is derived. A method to obtain the ratio of feasible BSs which indicates whether a BS is reachable with an IRS depending on the facade of the building it is deployed is proposed. Simulations are performed which confirm the proposed analytical methods. In the numerical results, it is observed that the IRSs can introduce up to a 45\% coverage boost, and the effect of the IRS length on the coverage probability is limited beyond 1.2 meters at 60 GHz.
2023Published in IEEE Transactions on Wireless Communications on pages 1-1. 10.1109/TWC.2023.3310664