长期演进网络中基于粒子群的天线下倾角自优化方法

发布时间：2018-04-27 11:03

  本文选题：长期演进 + 下倾角优化　； 参考：《计算机应用》2017年01期

【摘要】：针对第三代合作伙伴项目(3GPP)中自组织网络(SON)的覆盖与容量自优化问题,提出了一种基于粒子群优化(PSO)算法的有源天线下倾角优化方法。首先,确定基站(eNB)中传输数据的用户设备(UE)数,用户测量上报邻小区参考信号接收功率(RSRP)信息和位置信息;然后,确定优化目标预设适应度评价函数为频谱效率(SE);其次,将下倾角同时优化问题看作是多维优化问题,选择天线下倾角为粒子集合,使用PSO算法求解得到天线下倾角的最优值;最后,通过系统自主调整优化下倾角,实现长期演进(LTE)网络中容量及覆盖的自优化。通过建模及仿真结果分析,此算法在优化目标不同时可以取得不同的优化效果:优化目标为用户平均频谱效率时,采用传统黄金分割优化算法频谱效率较初始设定提升12.9%,采用PSO算法可提升22.5%;调整优化目标为用户加权平均频谱效率时,对边缘用户,传统黄金分割优化算法并无明显提升,PSO算法取得了19.3%的优化提升。实验结果表明,该方法可提升用户吞吐量,改善系统性能。
[Abstract]:Aiming at the coverage and capacity self-optimization problem of self-organizing network (SON) in the third generation partner project (3GPP), a new method based on particle swarm optimization (PSO) algorithm is proposed to optimize the dip angle of active antenna. First, determine the number of user equipment (UEE) to transmit data in the base station / eNBs, and the users measure and report the received power and position information of the reference signal in the adjacent cell; then, determine the presupposition fitness evaluation function of the optimized target as spectrum efficiency; secondly, The problem of simultaneous downdip optimization is regarded as a multi-dimensional optimization problem. The dip angle of antenna is selected as particle set, and the optimal value of dip angle is obtained by using PSO algorithm. Finally, the optimal dip angle is adjusted by the system. Self-optimization of capacity and coverage in long-term evolution LTEs is realized. Through modeling and simulation results analysis, the algorithm can achieve different optimization results at the same time when the optimization target is the average spectrum efficiency of the user. The spectral efficiency of the traditional golden section optimization algorithm is increased by 12.9 compared with the initial setting, and that of the PSO algorithm can be improved by 22.5. The traditional golden section optimization algorithm has no significant improvement and the PSO algorithm has achieved 19.3% improvement. The experimental results show that the proposed method can improve the throughput and performance of the system.
【作者单位】： 河海大学通信与信息系统研究所;
【基金】：中国科学院上海微系统与信息技术研究所无线传感网与通信重点实验室开放课题资助项目(2016001) 中央高校基本科研业务费专项资金资助项目(2015B18914)~~
【分类号】：TN929.5;TP18
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本文编号：1810473