LTE-A系统载波聚合下基于贪心算法的资源管理
发布时间:2018-11-14 18:16
【摘要】:为更好兼顾LTE-A系统吞吐量与用户公平性,提出基于贪心算法的资源管理方法。在载波聚合时充分利用用户端上报的信道状态信息,降低信道变化对载波聚合算法性能的影响。使用贪心算法解决资源分配时的NP难问题,在用户调度过程中利用用户占用的资源块数和平均速率重新设计贪心算法中的权值因子,从而满足各类用户对服务质量的不同需求。仿真结果表明,与LL+PF算法相比,该算法具有较好的用户公平性和更高的系统吞吐量。
[Abstract]:In order to better balance the throughput and user fairness of LTE-A system, a resource management method based on greedy algorithm is proposed. The channel state information reported by the client is fully utilized in carrier aggregation to reduce the influence of channel change on the performance of carrier aggregation algorithm. The greedy algorithm is used to solve the NP problem in resource allocation, and the weight factor of the greedy algorithm is redesigned by using the number and average rate of the resources occupied by the user in the process of scheduling, so as to meet the different demands of all kinds of users for the quality of service (QoS). Simulation results show that the proposed algorithm has better user fairness and higher system throughput than LL PF algorithm.
【作者单位】: 湖南大学信息科学与工程学院;中国人民解放军94855部队;
【基金】:国家自然科学基金(61371115)
【分类号】:TN929.5
[Abstract]:In order to better balance the throughput and user fairness of LTE-A system, a resource management method based on greedy algorithm is proposed. The channel state information reported by the client is fully utilized in carrier aggregation to reduce the influence of channel change on the performance of carrier aggregation algorithm. The greedy algorithm is used to solve the NP problem in resource allocation, and the weight factor of the greedy algorithm is redesigned by using the number and average rate of the resources occupied by the user in the process of scheduling, so as to meet the different demands of all kinds of users for the quality of service (QoS). Simulation results show that the proposed algorithm has better user fairness and higher system throughput than LL PF algorithm.
【作者单位】: 湖南大学信息科学与工程学院;中国人民解放军94855部队;
【基金】:国家自然科学基金(61371115)
【分类号】:TN929.5
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