中文摘要：

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.

英文摘要：

In order to solve the challenging coverage problem that the long term evolution（ LTE） networks are facing, a coverage optimization scheme by adjusting the antenna tilt angle（ ATA） of evolved Node B（ e NB） is proposed based on the modified particle swarm optimization（ MPSO） algorithm.The number of mobile stations（ MSs） served by e NBs, which is obtained based on the reference signal received power（RSRP） measured from the MS, is used as the metric for coverage optimization, and the coverage problem is optimized by maximizing the number of served MSs. In the MPSO algorithm, a swarm of particles known as the set of ATAs is available; the fitness function is defined as the total number of the served MSs; and the evolution velocity corresponds to the ATAs adjustment scale for each iteration cycle. Simulation results showthat compared with the fixed ATA, the number of served MSs by e NBs is significantly increased by 7. 2%, the quality of the received signal is considerably improved by 20 d Bm, and, particularly, the system throughput is also effectively increased by 55 Mbit / s.