Stochastic geometry analysis for RIS-assisted large-scale cellular networks

Conference item

In this paper, we analyze the coverage probability of a reconfigurable intelligent surface (RIS) aided cellular network with the theory of stochastic geometry. A Poisson cluster process (PCP) is applied to model the positions of transmitters (TXs) and RISs, capturing their spatial correlations. Considering the general Nakagami-m fading channel model, we derive the approximate distributions of the composite channel gains with RISassisted transmission, representing the desired signal channel and the interference channel, respectively. The coverage probability of the typical user is then obtained. The derived coverage probability is in a closed form, which can be evaluated efficiently. Simulation results are presented to show that the presented analysis is effective, demonstrate the significant performance gains brought by the passive beamforming of a RIS with a large number of elements, and show the impact of TX density on the performance of the proposed system.

Authors: Wang, T; Chen, G; Badiu, M-A; Coon, JP

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Host title: Proceedings of the 2022 IEEE Vehicular Technology Conference VTC2022-Fall
• Pages: 1-6
• Publication date: 2023-01-18
• Acceptance date: 2022-08-17
• Event title: 2022 IEEE Vehicular Technology Conference VTC2022-Fall
• Event location: London and Beijing
• Event website: https://events.vtsociety.org/vtc2022-fall/
• Event start date: 2022-09-26
• Event end date: 2022-09-29
• DOI: 10.1109/VTC2022-Fall57202.2022.10012854
• Language: English
• Keywords: FFR