低轨卫星高能效载波功率资源联合调度算法

结合多波束低轨（multi-beam low earth orbit, MB-LEO）卫星通信场景，研究了一种多目标载波功率联合优化（joint subcarrier scheduling and power control resource allocation, JSSPC-RA）算法。通过求解整数混合规划非凸优化问题，得到了不同通信需求下MC-DS-CDMA子载波和子载波功率的联合调度方案，实现了系统用户未满足容量和卫星总功耗的最小化。仿真结果表明，相对于传统的载波功率均分策略，JSSPC-RA算法能够在满足系统吞吐量需求的前提下大幅节省卫星总功耗；同时，通过调节权值系数，JSSPC-RA算法可以生成用户吞吐量需求与卫星总能耗折中的系统设计方案，适用于频谱、能量资源高度受限的MB-LEO卫星系统。

Energy efficient scheduling for subcarrier and power resources

In this paper, a joint subcarrier scheduling and power control resource allocation (JSSPC-RA) algorithm is proposed for multi-beam low earth orbit (MB-LEO) satellite communication scenarios. By solving the integer-mixed non-convex optimization problem, the joint scheduling scheme of multicarrier direct-sequence code division multiple access (MC-DS-CDMA) subcarrier and subcarrier power is obtained in consideration of different communication requirements, and the unsatisfied system capacity (USC) as well as the satellite total power consumption is thereby minimized. Simulation results prove that the proposed JSSPC-RA algorithm is able to satisfy the tradeoff of USC and satellite total power consumption, and is more power-saving than the traditional average allocation strategy, which is more applicable in the MB-LEO satellite system featuring strictly-constrained communication resources.