RIS-assisted Coverage Enhancement in mmWave Integrated Sensing and Communication Networks
Xu Gan, Chongwen Huang, Zhaohui Yang, Xiaoming Chen, Faouzi Bader,, Zhaoyang Zhang, Chau Yuen, Yong Liang Guan, Merouane Debbah

TL;DR
This paper explores how deploying reconfigurable intelligent surfaces (RISs) can significantly improve coverage and performance in mmWave integrated sensing and communication networks, especially under blockage conditions.
Contribution
It provides a stochastic geometry-based analysis of RIS-assisted mmWave ISAC networks, deriving coverage probabilities considering blockage effects and user association policies.
Findings
RIS deployment at 40 km$^{-2}$$ BSs$ density improves coverage.
Joint coverage rate increases from 67.1% to 92.2% with RIS deployment.
Theoretical results are validated by simulations.
Abstract
Integrated sensing and communication (ISAC) has emerged as a promising technology to facilitate high-rate communications and super-resolution sensing, particularly operating in the millimeter wave (mmWave) band. However, the vulnerability of mmWave signals to blockages severely impairs ISAC capabilities and coverage. To tackle this, an efficient and low-cost solution is to deploy distributed reconfigurable intelligent surfaces (RISs) to construct virtual links between the base stations (BSs) and users in a controllable fashion. In this paper, we investigate the generalized RIS-assisted mmWave ISAC networks considering the blockage effect, and examine the beneficial impact of RISs on the coverage rate utilizing stochastic geometry. Specifically, taking into account the coupling effect of ISAC dual functions within the same network topology, we derive the conditional coverage probability…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Antenna Design and Optimization · Advanced MIMO Systems Optimization
