基于空间隔离的低轨卫星星座星地协同干扰抑制方法OA

As an essential component of non-terrestrial networks for 6G,the rapid deployment of satellite communications has exacerbated interference issues in low Earth orbit(LEO)satellite constellations.Existing studies mainly rely on heuristic algorithms or machine learning techniques for interference suppression.However,these approaches often impose high computational burdens on satellites and may lead to over-optimization.To address this challenge,this paper proposes a spatial-isolation-based interference suppression method for LEO satellite constellations with satellite–ground coordination.By exploiting spatial isolation characteristics,the proposed method effectively suppresses inter-satellite interference with significantly reduced computational complexity.Simulation results show that,under different constellation scales,the average computation time of the proposed method is only 0.41%-0.91%of that of genetic-algorithm-based methods and 9.85%-21.28%of that of angle-based spatial isolation methods,while maintaining stable interference suppression performance.In addition,a traffic-distribution-aware adaptive beam-position clustering strategy is introduced to balance beam loads.When user aggregation is high,this strategy significantly improves system throughput,achieving a maximum gain of 67.29%.