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

页码：640 / 645

页数：6

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