International Workshop on RIS - Feb, 22&23, 2024 Talk by Guodong SUN (Nokia Bell Labs, France)

"Performance Analysis of RIS-assisted MIMO-OFDM Cellular Networks Based on Matern Cluster Processes"
Abstract
Reconfigurable Intelligent Surfaces (RIS) technology is a promising physical-layer candidate for sixth-generation (6G) cellular networks. Our work provides a system-level performance assessment of RIS-assisted multi-input multi-output (MIMO) cellular networks in terms of downlink coverage probability and ergodic rate. To capture the inherent randomness in the spatial deployments of both Base Stations (BSs) and RISs, we propose a new stochastic geometry model for such systems based on the Matern Cluster Process (MCP). This model consists in randomly distributed RISs around BSs, whose placement is according to a Poisson Point Process (PPP). The RISs provide the multipath diversity and the multiple antennas at receivers provide the antenna diversity. The system is assumed to use the orthogonal frequency division multiplexing (OFDM) technique to modulate the former and employ the maximal ratio combining (MRC) technique at the receiver to exploit the latter. We show that the coverage probability and the ergodic rate can be evaluated when considering RISs operate as batched powerless beamformers. The resulting analytical expressions provide a generic methodology to evaluate the impact of key RIS related parameters, such as the size of RISs and the density of nodes, on system level performance. In practice, operators can decide between deploying additional RISs or increasing the density of BSs. We show how the proposed model allows one to conduct a techno-economic analysis of future RIS-assisted cellular networks.
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Reconfigurable Intelligent Surfaces are very promising physical-layer candidates for sixth-generation cellular networks.
This international workshop will cover the main scientific and technological questions underlying this promise: electromagnetism, meta-materials, beamforming, adaptive control,network architecture, and network energy expenditure.
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