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Coverage Optimization of LTE Networks Based on Antenna Tilt Adjusting Considering Network Load

China Communications 2017年第5期14卷 48-58页

作者： NhuQuan Phan thioanh bui Huilin Jiang Pei Li Zhiwen Pan Nan Liu National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096JiangsuChina Faculty of Mechatronics-Electronics Lac Hong UniversityBien Hoa City 810000Viet Nam Institute of electrical engineering Nanjing Xiaozhuang UniversityNanjing 211171China

In this paper,we investigate the coverage optimization for LTE networks considering the network load. The network coverage is defined as the number of served users of evolved Node B(eNB)which is determined by e NBs' antenna tilt angles(ATA). The coverage is optimized by optimizing the number of served users based on the Modified Particle Swarm Optimization(MPSO)algorithm. Simulation results show that both the number of served users by each e NB and the system throughput are significantly increased. As well,the average load and the bandwidth efficiency of the network are improved.

关键词： LTE networks antenna tilt angle coverage optimization and modified particle swarm optimization

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Modified particle swarm optimization-based antenna tilt angle adjusting scheme for LTE coverage optimization

引用

Journal of Southeast University(English Edition) 2015年第4期31卷 443-449页

作者：潘如君蒋慧琳裴氏莺李沛潘志文刘楠东南大学移动通信国家重点实验室南京210096 Faculty of Mechatronics-Electronics Lachong University

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） *** 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.

关键词： long term evolution(LTE) networks antenna tilt angle coverage optimization modified particle swarm optimization algorithm

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