Coverage probability of RIS-assisted mmWave cellular networks under blockages: A stochastic geometric approach

Bagherinejad S. Bayanifar M. Sattari Maleki M. Maham B.
August 2022 Elsevier B.V.

Physical Communication
2022 #53

In this paper, we consider a downlink millimeter-wave (mmWave)-based cellular network where some of the objects in the environment that block the links, such as buildings, are equipped with reflective intelligent surfaces (RISs). Leveraging tools from stochastic geometry, we model the locations of the base stations (BSs) using homogeneous Poisson Point Processes and blockages are modeled by line Boolean model. We consider different path loss exponents for the line of sight (LOS) and non-LOS (NLOS) links. A typical user located at the origin can be served directly with LOS or NLOS BS or by using the RIS relay and a BS. By considering the minimum path loss criteria, after deriving the user association probability with RIS or direct link, we derive the coverage probability of the system using stochastic geometry. Simulation results show that using the RIS results in significant performance improvement especially in the case that the density of the blockages is high. The performance increment is even more substantial for high SINR threshold, e.g. the coverage probability for blockage density of 700 blockages per km² and SINR threshold of 20dB is twice the case that RISs are not employed.

Blockage , Coverage probability , Millimeter wave , Reflective intelligent surfaces , Stochastic geometry

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School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
Department of Communications and Networking, Aalto University, Espoo, Finland
Department of Information Technology, Ghent University, Ghent, Belgium
Department of ECE, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan

School of Electrical Engineering
Department of Communications and Networking
Department of Information Technology
Department of ECE

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