基于两阶段帕累托优化的卫星下行链路功率分配方法

Power Allocation Based on Two-Stage Pareto Optimization in Satellite Downlink

多波束卫星下行链路在实现高传输速率和低功耗之间相互制约,是影响多波束卫星系统通信性能的重要因素之一.本文提出两阶段多波束卫星下行链路多目标功率分配方法,建立多波束卫星下行链路功率分配模型,第一阶段采用凸优化算法实现下行链路传输速率的优化匹配,将传输速率匹配的解作为第二阶段启发式算法的初始解,得出的帕累托解可表示优化后的性能,为链路传输速率和功耗提供了平衡点.研究结果表明,在相同传输速率条件下,两阶段优化方法将链路功耗降低了17.6%,且收敛速度较快.

In the multibeam satellite downlink,the realization of high data rate and low power consumption restrict each other,which is one of the important factors that affect the communication performance of the multibeam satellite system.The two-stage multibeam satellite downlink multi-objective power allocation method is proposed.The multibeam satellite downlink power allocation model is built.In the first stage,a convex optimization algorithm is used to achieve downlink data rate matching,and the data rate matching solution is employed as the initial solution of heuristic algorithm in the second stage.The optimized performance is represented by the obtained Pareto solution,which provides a balance for the link data rate and power consumption.The numerical results show that under the same data rate,two-stage optimization method reduces link power consumption by 17.6%and the propose method converges fast.