AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Interference-Driven Clustered Optimisation for FM Spectrum Coordination

arXiv · AI, language, vision and robotics · article · Sep 18, 2026 · UTC

Cross-border FM spectrum coordination involves protecting foreign broadcasting services while preserving domestic coverage, amid increasingly large radio-planning datasets containing thousands of transmitters and millions of transmitter-pixel relationships. In such scenarios, conventional optimisation approaches become computationally demanding due to the high dimensionality of the associated power-control problem. This paper proposes an interference-driven clustered optimisation framework for large-scale FM spectrum coordination. The proposed method exploits the observation that violations of

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.