Auction-Based Resource Allocation for Hybrid-Beam LEO Satellite Communication Networks

In recent years, the demand for highly mobile users (HMUs) in transportation scenarios such as aircraft and high-speed trains soars significantly. Low Earth Orbit (LEO) satellite communication, enhanced by beam-hopping (BH) technology, can effectively manage uneven traffic demands across both time and space. However, in scenarios where fixed users (FUs) coexist with HMUs, existing communication systems often struggle to balance the urgent need for communication continuity of HMUs with the efficient use of system resources. To address this challenge, we propose a two-stage auction-based resource allocation strategy. Specifically, we first introduce staring beams that continuously tracks HMUs based on service beams, and establish a dynamic protection zone division mechanism to prioritize the communication continuity and anti-jamming performance of HMUs. Furthermore, to allocate the remaining bandwidth and power resources within the protection zone after meeting the communication needs of HMUs, we design an auction-based resource allocation algorithm, which significantly enhances the long-term throughput and user satisfaction of the system. Simulation results show that on the one hand, the anti-jamming capability of HMUs is improved significantly. On the other hand, compared with the proportional fair algorithm and the average allocation algorithm, the proposed algorithm improves the average throughput by 3.6% and 8.0%, and the average user satisfaction by 4.1% and 10.2%, which provides an efficient and sustainable communication solution for high-speed mobile scenarios.