基于星上多波束天线的卫星功率带宽联合优化新算法

A New Joint Optimization Algorithm of Bandwidth and Power for Satellite Communication System with Multi-beam Antennas

目前已有的卫星功率优化分配策略未考虑功率与带宽的耦合关系。为了进一步提高星上资源的利用率,在考虑各点波束业务需求差异及共信道干扰的基础上,通过构建卫星系统模型,提出一种将卫星功率和带宽联合优化分配的算法。该算法基于系统公平性建立优化目标函数,并采用迭代方法求解资源优化的最优解。与传统固定分配方式相比,这种耦合的资源分配方式可根据当前业务需求和信道条件对星上功率和带宽资源进行实时再分配,提高了系统容量,系统业务匹配率提高10%,具有较高的星上资源利用率。

The existing resource optimization allocation strategies of multi-beam communication satellite don＇t take the coupling relationship of power and bandwidth into consideration. In order to further improve the utiliza- tion of satellite resources, a joint optimization algorithm of power and bandwidth is proposed, which gives full consideration to the co-channel interference and the different traffic demands of each beam. This algorithm is proposed on the basis of the system fairness and can be solved by an iterative method. Compared with the tradi- tional fixed allocation method, the joint optimization algorithm is more flexible on the redistribution of on-board resources, which increases the system capacity and improves 10% of the traffic match ratio through simulation results. The joint optimization algorithm improves the efficiency of the on-board resource utilization.