Abstract
By controlling the beam directions, intelligent re-flecting surfaces (IRSs) are expected to reconstruct wireless propagation environments. In order to fully understand the potential of IRSs to improve cellular network performance, accurate system modeling and analysis of the IRS assisted cellular networks are particularly important. In this paper, using stochastic geometry, we provide an analytical framework for IRS-assisted cellular networks. Particularly, we model the 3D dynamic beamforming of BSs and IRSs based on geometry and radiation patterns to characterize the interference from both BSs and IRSs. Correspondingly, we derive the expression of the coverage prob-ability. Numerical results also show that the deployment of IRSs significantly enhances the system performance compared with traditional cellular networks without IRSs. Besides, we reveal the impact of system parameters related to BSs and IRSs (such as height, mainlobe beamwidth, etc.) on the coverage performance, thereby providing technical guidelines for the deployment of IRSs in the future cellular network.
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