集群软件无线电系统中实时信号处理调度研究

在集群软件无线电系统中,当宽带大容量信号数据进入系统后通过在节点上的并行计算实现对强衰弱信号的高增益、低延迟处理.结合集群软件无线电系统中信号处理的特点,研究了以下任务调度方面的问题:1) 提出了一种适合集群软件无线电系统中信号处理的调度器模型.该模型简单、高效,避免了瓶颈问题.2) 提出了一种新的包含3 个步骤的调度策略——RQBB,其中第1 步采用已有的DASAP 算法.3) 提出了两种启发式算法——MQB 和MSD,分别用在RQBB 的第2 步和第3 步操作.MQB 是一种公平算法,用于使所有接收的任务具有较高的QoS 收益(较高的QoS 级别和较小的QoS 级别差异),MSD 算法用于使系统具有较高的吞吐率并达到负载均衡.通过大量实验对RQBB 与DASAP, DALAP 算法和RQRB 策略进行了比较.实验结果表明,RQBB 具有较高的调度成功率,使得所接收任务具有最优的QoS 收益,同时使得系统具有较高的吞吐率并达到负载均衡.

Scheduling of Real-Time Signal Processing in Cluster-Based Software Radio Systems

In this paper, according to the characteristics of signal processing in cluster-based SR systems, thefollowing scheduling issues are investigated: First, a universal scheduler model suitable for signal processing incluster-based SR systems is proposed. The model is simple, the efficient and it avoids the bottleneck problem.Second, a novel three-step scheduling strategy-RQBB is put forward, where the existing DASAP algorithm is usedin step 1. Third, two heuristic algorithms MQB and MSD are proposed. They are used in step 2 and step 3 of RQBB,respectively. The MQB is a fair algorithm that strives to make all the accepted tasks have high QoS benefit (highmean of QoS levels and small difference of QoS levels). The MSD is designed to guarantee the system with highthroughput and achieve load balancing without violating the timing constraints of accepted tasks. Extensivesimulation experiments are performed to compare RQBB with RQRB, DASAP and DALAP. Experimental resultsindicate RQBB improves QoS benefit better than others and achieve load balancing while guaranteeing highschedulability.