SOURCE-LINKED INTELLIGENCE
Interference-Driven Clustered Optimisation for FM Spectrum Coordination
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
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T07:53:42.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.