Scanning the Literature

Satellites present viable solutions in scenarios where ground-based connectivity is lacking or inefficient, such as remote or mobile environment. To push the limits of broadband capacity from space, satellites are positioned in close proximity. However, self-interference, i.e., interference produced by satellites in the same network, becomes an indispensable pre-requisite for seamless operations. In this paper, the authors proposed a cooperative framework that combines satellite routing and frequency assignment strategies to mitigate self-interference both within and between satellites. In particular, satellite routing involves mapping beams to satellites, while frequency allocation entails allocating spectrum to each beam. The overarching goal is to maximize system performance while ensuring that the interference between signals originating from the same or different satellites remains below a predefined threshold. The authors introduced a methodology inspired by graph clustering techniques and integer optimization to address the satellite routing problem. By leveraging the existing frequency assignment techniques, the authors demonstrated that the proposed collaborative approach can yield up to a 75% increase in throughput compared to strategies that consider individual resources in isolation. Evaluation results demonstrated that optimizing satellite routing is crucial for large constellations with more than 100 satellites, while optimizing frequency assignment is crucial for smaller constellations with 100 satellites or fewer.