User Mapping and Radio Resource Management in Demand-based GEO Satellite Systems

Multibeam geostationary (GEO) satellites play a pivotal role in contemporary satellite communication by ad-dressing the escalating demands. In this paper, we assume a flexible beam-user mapping scheme, wherein users have the liberty to select a specific beam for access, while power and bandwidth allocation is performed on a per-beam basis. To effectively manage radio resources and cater to user demands, we employ a Time Division Multiple (TDM) technique within each beam. To address the resource management challenge, we propose an iterative algorithm for optimizing time fraction and power. Each subproblem is transformed and solved using the Successive Convex Approximation (SCA) method and branch and bound algorithm. The results demonstrate that the proposed algorithm outperforms fixed user mapping and fixed time fraction algorithms by reducing the average user unmet degree by 4.0% and 9.9%, respectively. The flexibility inherent in user mapping and resource allocation enhances resource utilization and alleviates the pressure on satellite from higher user demands.