Uncoordinated Interference Avoidance Between Terrestrial and Non-Terrestrial Communications

TL;DR

The paper tackles uncoordinated interference between terrestrial cellular and non-terrestrial (LEO satellite) systems by introducing a geospatially driven interference-avoidance algorithm. Leveraging edge-cloud resources, Voronoi-based coverage, Doppler-corrected frequency adjustments, and strategic PRB blanking, the method proactively blocks conflicting resources while maintaining throughput. Empirical results show significant sum-rate gains in both downlink and uplink and a polynomial-time runtime, supporting real-time deployment. This approach enables more efficient spectrum sharing and robust coexistence of satellite and cellular networks in shared bands, with practical impact for future integrated terrestrial-satellite RAN deployments.

Abstract

This paper proposes an algorithm that uses geospatial analytics and the muting of physical resources in next-generation base stations (BSs) to avoid interference between cellular (or terrestrial) and satellite communication (non-terrestrial) systems. The information exchange between satellite and terrestrial stations is minimal, but a hybrid edge cloud node with access to estimated satellite trajectories can enable these BSs to take proactive steps to avoid interference. To validate the superiority of our proposed algorithm over a conventional method, we show the performance of the algorithm using two measures: number of concurrent uses of Doppler corrected radio frequency resources and the sum-rate capacity of the BSs. Our algorithm not only provides significant sum-rate capacity gains in both directions enabling better use of the spectrum, but also runs in polynomial time, making it suitable for real-time interference avoidance.

Figures (6)

• Figure 1: A satellite covering a next-generation base station association area.
• Figure 2: Projection of a satellite coverage onto the Earth.
• Figure 3: Projection of satellites coverage onto an area served by sectorized BSs.
• Figure 4: Number of collisions for the two algorithms: proposed and EPA.
• Figure 5: Empirical cumulative distributions of the downlink sum-rate capacity for the two algorithms: proposed and EPA.