Coverage and Capacity Optimization for 4G LTE Networks Using Differential Evolution

被引：0
|
作者：
Cheng Yanyun [1 ]
Alexis, Huet [2 ]
Xu Hui [2 ]
Yan Xingxiu [2 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Howso Technol Co Ltd, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS) | 2018年
关键词：
Coverage and Capacity Optimization; 4G LTE; Measurement Report; Antenna Gain Optimization; Machine Learning; Differential Evolution;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Network planning and optimization is a major issue for telecom carriers. An important question is to determine angles for antenna cells to improve network coverage and capacity. A methodology to optimize coverage of cells is presented. It provides optimization of tilt and azimuth angles of self-defined problematic cells. Improvement of RSRP is performed by optimizing weak and overlapping coverage. An evolutionary algorithm named Differential Evolution is utilized. Experiments show improvements of coverage in a regional area of China.
引用
收藏
页码：640 / 645
页数：6
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