Cooperative Beam Hopping for LEO Constellation Network

LEO constellation network has become a promising approach for global communications, due to its global coverage, lower latency, and flexible construction. However, because of the limited coverage of a single satellite and the high-speed space-ground relative movement, how to leverage the precise satellite resources to satisfy the user terminals’ requests is an important issue. Beam hopping technique is an efficient way to handle this issue by scheduling the onboard resource according to the distribution of terminals’ requests. In this paper we propose a cooperative beam hopping for LEO constellation network, where multiple satellites provide service for the user terminals in the multi-coverage areas. The problem is innovatively modeled as a LASSO problem considering its sparsity, and machine learning methods are introduced to optimize it. Compared with the fixed beam system, our proposed scheme achieves better performance in terms of resource utilization and average user satisfaction rate.