针对认知无线电系统中认知用户在利用频谱聚合技术时出现的调度不公平问题,提出了一种基于频谱聚合的全局比例公平调度算法.在比例公平调度的基础上,结合频谱聚合技术的特点,引入了频谱聚合的跨度与认知用户剩余数据队列长度这两个参量,使认知用户在聚合可用频谱的范围内,最大限度的保证吞吐量公平性.仿真结果表明,相比于局部比例公平调度算法和最大载干比调度算法,该算法在公平性指数和系统服务时间上更占优势,同时具有较低的吞吐量抖动,从而有效地提高系统容量和系统效率,确保认知用户之间对系统资源的公平利用.
In a cognitive radio system, it is still a problem that resource scheduling among secondary users (SUs) is distributed unfairly when spectrum aggregation technology is involved to support high-speed data transmission. A global proportional fair scheduling algorithm is proposed based on spectrum aggregation to solve the problem. This paper focuses on the relation between the fairness for SUs and spectrum aggregation. Throughput fairness can be guaranteed as much as possible after considering two parameters, the span of spectrum aggregation and the remaining data queue length of SUs. Simulation results show that the proposed scheduling algorithm takes advantage of fairness and the delay of system service as compared with the other two scheduling algorithms, max C/I and partial proportional fairness. Meanwhile, it is shown that the proposed scheduling algorithm has lower throughput shake to make sure of fairness among SUs and high efficiency of system.