为了解决LTE网络所面临的具有挑战性的覆盖问题,提出一种基于改进的粒子群优化(MPSO)的覆盖优化方案.该方案通过调整演进基站(e NB)的天线倾角(ATA)优化网络覆盖.e NB利用移动台(MS)测量到的参考信号接受功率(RSRP)判断自身服务的MS数目,并用服务的MS数目作为覆盖优化的评价指标,通过最大化服务MS的数量来优化覆盖.在MPSO算法中,存在一群可被看作是ATA集合的粒子,适应度函数定义为被服务的MS总数,每次迭代中的进化速度对应于ATA的调整尺度.仿真结果表明,与固定天线倾角相比,提出的算法使得e NB服务的MS数目增加7.2%,接收信号的质量提升20 d Bm,同时系统吞吐量提升55 Mbit/s. In order to solve the challenging coverage problem faced by LTE networks, a coverage optimization scheme based on improved Particle Swarm Optimization (MPSO) is proposed, which optimizes network coverage by adjusting antenna tilt angle (ATA) of evolved base station (e NB) The e NB judges the number of MSs served by reference signal received power (RSRP) measured by mobile station (MS) and optimizes the coverage by maximizing the number of serving MSs by using the number of serving MSs as coverage optimization index MPSO algorithm, there is a group of particles that can be regarded as ATA set, fitness function is defined as the total number of MS served, the evolution speed in each iteration corresponds to the adjustment scale of ATA.The simulation results show that, The proposed algorithm increases the number of MSs for e NB service by 7.2%, improves the received signal quality by 20 dBm, and increases the system throughput by 55 Mbit / s.