Joint Coverage and Electromagnetic Field Exposure Analysis in Downlink and Uplink for RIS-assisted Networks
Lin Chen, Ahmed Elzanaty, Mustafa A Kishk, Ying-Jun Angela Zhang

TL;DR
This paper develops a stochastic geometry framework to analyze coverage and electromagnetic field exposure in RIS-assisted networks, providing insights into regulatory compliance and network performance in uplink and downlink scenarios.
Contribution
It introduces a novel SG-based model that jointly characterizes SINR and EMFE, including approximate formulas for compliance distances, addressing a key open issue in RIS network deployment.
Findings
RIS deployment may increase EMFE in downlink, potentially reducing benefits.
In uplink, RIS improves coverage while maintaining EMFE compliance.
Joint distribution analysis supports balanced RIS deployment strategies.
Abstract
Reconfigurable intelligent surfaces (RISs) have shown the potential to improve signal-to-interference-plus-noise ratio (SINR) related coverage, especially at high-frequency communications. However, assessing electromagnetic field exposure (EMFE) and establishing EMFE regulations in RIS-assisted large-scale networks remain open issues. This paper proposes a stochastic geometry (SG) based framework to characterize SINR and EMFE in such networks for downlink and uplink scenarios. Particularly, we carefully consider the association rule with the presence of RISs, accurate antenna pattern at base stations (BSs), fading model, and power control mechanism at mobile devices in the system model. Under the proposed framework, we derive the marginal and joint distributions of SINR and EMFE in downlink and uplink, respectively. The first moment of EMFE is also provided. Additionally, we design the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Telecommunications and Broadcasting Technologies · Wireless Body Area Networks
MethodsBalanced Selection
