动态跳波束策略中的自适应波束功率分配算法

摘要：多波束卫星发射机的成本很高，同时地面小区的通信需求和通信优先级一直处在动态变化中。通过研究一种动态波束跳跃策略，实现在卫星资源受限和较少发射机数量约束下的广域覆盖和按需服务。区别于传统的分簇波束跳变思想，为了提高卫星系统的频谱效率，考虑在整个频率带宽上应用全局波束跳变。因此考虑在共信道干扰背景下，提出一种新型服务质量指标来衡量波束跳变结果。在卫星资源有限的情况下，各波束提供的通信容量不能满足地面小区的业务请求，基于粒子群算法选择的波束跳动图案，提出了一种自适应波束功率分配算法。该算法通过优先级加权，最小化波束业务容量需求差值，进而提高服务质量水平。最后，通过仿真验证了所提算法的性能优越性。

Adaptive beam power allocation algorithm in dynamic beam hopping strategy

The cost of multi-beam satellite transmitters is high, while the communication demand and communication priority of ground cells are always in dynamic change. This paper investigates a dynamic beam hopping strategy to achieve comprehensive area coverage and on-demand services under limited satellite resources and fewer transmitters. Unlike the traditional cluster beam hopping idea, in order to improve the spectral efficiency of the satellite system, global beam hopping is considered to be applied over the whole frequency bandwidth in this paper. Therefore, a new quality of service metric is considered to measure the beam hopping results in the context of co-channel interference. In the case of limited satellite resources, the communication capacity provided by each beam cannot meet the service requests of ground cells. An adaptive beam power allocation algorithm is proposed based on the particle swarm optimization algorithm for the beam hopping pattern. The algorithm minimizes the beam capacity requirement gap by weighted priority, and improves the quality of service level. Finally, the performance superiority of the algorithm is verified by simulation.