多波束卫星通信功率带宽联合优化算法

A Joint optimization Algorithm of Power and Bandwidth for Multi-beam Satellite Communication System

  • 摘要: 在多波束卫星通信系统中,资源利用率受星上能量的限制,提高资源利用率非常重要。为提高星上资源优化的灵活性,在考虑自由空间损耗、天线增益、雨衰和波束间干扰的基础上,提出一种基于不同业务需求和信道条件的多波束卫星通信下行链路功率带宽联合优化算法。该联合优化算法采用二阶差分目标函数,运用拉格朗日对偶理论和次梯度法求得该联合优化问题最优解的下界。仿真结果分析表明,与单独地优化功率和带宽算法相比,该功率带宽联合优化算法可以根据不同的业务需求和信道条件更加灵活地分配系统容量,提高了资源利用率。

     

    Abstract: In the multi-spot-beam satellite communication system, the efficiency of resources is constrained by on-board energy. It is important to improve the efficiency of resources. Taking the free space path loss, the antenna gain, the rain attenuation and inter-beam interference of each beam into account, a joint power and bandwidth allocation algorithm based on different traffic demands and channel conditions over satellite downlinks is proposed, which increases the flexibility of the multi-spot-beam resource optimization. The algorithm adopts a two order differential object function and obtains a lower bound of the optimal power and bandwidth with Lagrangian duality theory and sub-gradient method. The simulation results show, compared with separate power and bandwidth optimization algorithm, the joint optimization algorithm can allocate system capacity more flexible and satisfy different traffic demands and channel conditions. So it improves on-board resource utilization efficiency.

     

/

返回文章
返回