基于误码率的模糊加权无线网络公平调度算法

Fuzzy Weighted Fair Scheduling Algorithm Based on Error Rate for Wireless Networks

针对无线网络中实现多连接时的公平性调度问题,提出了一种基于信道误码率的模糊规则自校正的加权公平调度算法.该算法通过对链路误码率的定期测量,利用模糊算法对信道的当前状态进行推理判断,从而使各链路的调度权值跟随信道的状态自适应地调整.算法中还引入模糊规则自校正算法,以使其具有自寻优能力.仿真结果表明,所提算法能有效地改善系统的吞吐量及带宽分配的公平性,当信道误码率较高时,系统平均吞吐量比传统加权轮询调度算法提高14倍,而公平性系数仍达到0.8以上.

Focusing on the fair scheduling problem carrying out multilink in wireless networks, a self-tuning fuzzy weighted fair scheduling algorithm based on the error code rate of signal channels is proposed, in which by periodically measuring the error code rate of links, and inferring the current statues of the channel using fuzzy algorithm, the scheduling weights are adaptively adjusted to trace statues of the channel. The fuzzy control rules are introduced to enable the algorithm to search for optimum. Simulation results show that the proposed algorithm effectively improve the system throughput and fairness of frequency band assignment. When the error code rate is high, the average throughout of the system is 14 times higher than the traditional weighted poll scheduling algorithm, and the fairness coefficient still reaches more than 0.8.