地球同步轨道(GEO)卫星通信系统具有通信时延长的特点, 适用于GEO卫星长期演进(LTE)通信的资源调度算法非常重要。为提升星上资源分配的高效性, 基于可变最大加权时延优先(M-LWDF)算法, 提出了一种综合考虑媒体接入控制(MAC)层参数和应用层参数的跨层调度算法。该算法在MAC层从数学角度推导, 提出权重更大的时延判决因子及在应用层根据业务优先级不同引入Q因子。仿真结果表明, 与M-LWDF算法相比, 不同业务情况下, 跨层资源调度算法减小了通信时延, 提高了系统吞吐量, 但公平性能略有下降并增加了复杂度。

Considering the characteristic of long transmission delay in Geosynchronous Orbit(GEO) satellite communication system, it is very important to put forward an applicable resource scheduling algorithm for GEO satellite Long Term Evolution(LTE) system. Based on the Modified Largest Weighted Delay First(M-LWDF) algorithm, a cross-layer scheduling algorithm is proposed with the comprehensive consideration of parameters in the Media Access Control(MAC) layer and application layer for enhancing the efficiency of resources allocation. Specifically, a greater weight delay factor is put forward from the point of mathematical deduction in the MAC layer, in addition to introducing Q factor into the application layer according to service priorities. Comparing with M-LWDF algorithm, the simulation results show that the cross-layer based resource scheduling algorithm can reduce transmission delay and improve the throughput for different traffics, whereas fair performance decreases slightly and the complexity increases.