Multi-Dimensional Resource Allocation Strategy for LEO Multi-Satellite Beam Hopping Systems

Abstract

Recently, the low earth orbit (LEO) satellite communication network has received much attention as an important part of the Space-Air-Ground Integrated Network (SAGIN). However, the resources on satellites are limited, which requires efficient resource allocation strategy to meet user demands. Moreover, the limited spectrum resources mean many satellites share the same frequency resources. Thus, effective interference avoidance measures will further improve the quality of satellite system services. To realize efficient resource management in the LEO multi-satellite beam hopping network, this paper proposes a multi-dimensional resource collaborative allocation strategy, which is implemented in three steps. Firstly, the beam hopping pattern is designed based on the principle of interference avoidance. Secondly, bandwidth resources are allocated by the matching theory. Finally, the non-convex problem is transformed into a convex optimization problem to realize power resource allocation. The simulation results demonstrate that the proposed strategy can effectively avoid interference and minimize the total transmission delay.