高通量多波束通信卫星系统资源分配方法

Resource allocation in high throughput multibeam communication satellite systems

资源分配是影响新一代高通量多波束通信卫星(HTMCS)系统效能发挥的关键问题。以往基于非柔性载荷以及用户容量需求均匀分布的静态、单维度资源分配方法已不能满足现实需求。围绕基于有效载荷资源提升系统效能这一核心目标,针对波束间干扰、柔性载荷以及用户需求非均匀分布特点,为高通量多波束通信卫星系统构建了功率和频带两维度联合优化资源分配模型,并实现了一种带有寻优控制策略的遗传算法求解模型。面向多类场景实例的仿真结果表明,本方法可以适应不同用户容量需求分布特点,为系统提供功率和频带资源联合优化解决方案。当用户需求总量分别为90 Gbit/s、110 Gbit/s及130 Gbit/s时,相比平均、固定分配波束功率及频带资源,提出的方法可使系统未满足容量需求(UCD)分别减少71.09%、40.47%和16.31%,有效提升了系统效能。

Resource allocation plays an important role in the performance of new generation of high throughput multibeam communication satellite(HTMCS)systems.The static and single dimension methods for resource allocation were normally proposed for previous communication satellite systems with non-flexible payloads and uniform distribution of users’capacity demands,which has seriously constrained the performance of the HTMCS systems.A joint power and bandwidth resource allocation model for the HTMCS systems was built,with the consideration for beam interference,flexible payloads and non-uniform distribution of capacity demands.Meanwhile,a genetic algorithm with high efficient search control strategies was implemented to solve this model.Finally,several types of dataset were employed with different capacity demands and distribution profile between beams to verify the proposed method.Experimental results show that the method can reduce the unmet capacity demand(UCD)by 71.09%,40.47%and 16.31%compared to the current static method for the total capacity demand of 90 Gbit/s,110 Gbit/s and 130 Gbit/s respectively.