Abstract: As the traditional Proportional Fair(PF) algorithm can not greatly balance the relationship between system throughput and user fairness, this paper presents a more efficient downlink combination grouping schedule algorithm based on proportional fair to solve the problem of synchronous transmission of Real-time(RT) users and Non Real-time(NRT) users in downlink. Schedule model and the transmission architecture are given, and gives an efficient baseline schedule algorithm for comparison is given. Experimental results show that, when the system load is 1, the throughput of this algorithm is approximately improve 13%, RT and NRT data packet delay is less than the baseline schedule algorithm, fairness index is higher than the baseline schedule algorithm.

Key words: Quality of Service(QoS), Carrier Aggregation(CA), Proportional Fair(PF), grouping schedule, fairness index, resource block

摘要： 传统比例公平算法不能很好地权衡系统吞吐量与用户间的公平性，为实现下行链路实时和非实时用户数据量的同步传输，提出一种基于比例公平的下行联合分组调度算法。给出调度模型和传输架构，从而获得联合分组调度算法。设计基线调度算法与其进行比较，结果表明，当系统负载为1时，该算法的吞吐量约提升13%，实时数据与非实时数据包时延均低于基线调度算法，且用户公平性指数较高。

关键词: 服务质量, 载波聚合, 比例公平, 分组调度, 公平性指数, 资源块

CLC Number: 

• TP301.6