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RIS-Enabled Cellular Systems Operated by Different Service Providers

Hyeongtaek Lee, Junil Choi

TL;DR

An RIS reflection coefficients design is proposed in this paper to maximize the performance improvements of the cell that deploys the RIS while minimizing the undesired performance degradation for the other cells simultaneously.

Abstract

In realistic cellular communication systems, multiple service providers will operate within different frequency ranges. Each serving cell, which is managed by a distinct service provider, is designed individually due to the orthogonal frequencies. However, when a reconfigurable intelligent surface (RIS) is deployed for a certain cell, the RIS still incurs reflective channels for the overall system since the RIS reflects signals across all frequency ranges. This may cause severe undesired performance degradation for the other cells unless the reflection coefficients are properly designed. To tackle this issue, by utilizing the Riemannian manifold optimization method, an RIS reflection coefficients design is proposed in this paper to maximize the performance improvements of the cell that deploys the RIS while minimizing the undesired performance degradation for the other cells simultaneously. Numerical results demonstrate that the proposed design can effectively balance the two objectives for practical scenarios.

RIS-Enabled Cellular Systems Operated by Different Service Providers

TL;DR

An RIS reflection coefficients design is proposed in this paper to maximize the performance improvements of the cell that deploys the RIS while minimizing the undesired performance degradation for the other cells simultaneously.

Abstract

In realistic cellular communication systems, multiple service providers will operate within different frequency ranges. Each serving cell, which is managed by a distinct service provider, is designed individually due to the orthogonal frequencies. However, when a reconfigurable intelligent surface (RIS) is deployed for a certain cell, the RIS still incurs reflective channels for the overall system since the RIS reflects signals across all frequency ranges. This may cause severe undesired performance degradation for the other cells unless the reflection coefficients are properly designed. To tackle this issue, by utilizing the Riemannian manifold optimization method, an RIS reflection coefficients design is proposed in this paper to maximize the performance improvements of the cell that deploys the RIS while minimizing the undesired performance degradation for the other cells simultaneously. Numerical results demonstrate that the proposed design can effectively balance the two objectives for practical scenarios.
Paper Structure (10 sections, 17 equations, 4 figures, 1 table, 1 algorithm)

This paper contains 10 sections, 17 equations, 4 figures, 1 table, 1 algorithm.

Figures (4)

  • Figure 1: An example of realistic RIS-enabled cellular communication systems.
  • Figure 2: Positions of each BS and its serving area with RIS.
  • Figure 3: Average sum-rate performance according to $P_\mathrm{T}$ with $N=4\times 4$, $M=8 \times 16$, $K=4$, and $\lambda=20$ dB.
  • Figure 4: Average sum-rate performance according to $\lambda$ with $N=4\times 4$, $M=8 \times 16$, $K=4$, and $P_\mathrm{T}=30$ dBm.