Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles

Jiaqi CAI; Haibin WAN; Youming SUN; Tuanfa QIN

doi:10.11959/j.issn.1000-0801.2021006

您当前的位置：

首页 >

文章列表页 >

Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles

Research and Development | 更新时间：2024-06-05

- Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles
- Telecommunications Science Vol. 37, Issue 1, Pages: 69-75(2021)
- 作者机构：
  
  1. 广西大学计算机与电子信息学院，广西南宁 530004
  2. 中国联合网络通信有限公司漯河市分公司，河南漯河 462000
  3. 广西多媒体通信与网络技术重点实验室，广西南宁 530004
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021006
  CLC： TN929.5
- Published Online：2021-01，
  
  Published：20 January 2021
- 稿件说明：
移动端阅览
Jiaqi CAI, Haibin WAN, Youming SUN, et al. Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles[J]. Telecommunications science, 2021, 37(1): 69-75.
DOI：

Jiaqi CAI, Haibin WAN, Youming SUN, et al. Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles[J]. Telecommunications science, 2021, 37(1): 69-75. DOI： 10.11959/j.issn.1000-0801.2021006.

摘要

针对3GPP中提出的SON（self-organizing network，自组织网络）覆盖自优化问题，提出一种基于人工蜂群算法的基站天线方位角与下倾角同时优化方法。首先，基站根据用户设备上报的 MR（measurement report，测量报告）数据确定待优化区域，并建立以基站天线对待优化区域的平均增益为目标函数的优化模型；其次，利用人工蜂群算法求解该目标函数，并得到基站天线方位角与下倾角的最优解；最后，将基站天线方位角与下倾角调整至最佳值，实现基站根据用户设备位置的覆盖自优化。通过系统建模、仿真与外场实验，以用户设备接收的RSRP（reference signal receiving power，参考信号接收功率）为指标，利用人工蜂群算法的计算方法较未优化的初始参数提升6.81 dB，较依靠人工经验的判别方法提升4.35 dB。实验结果证明，提出的自优化方法可根据用户位置分布精准及时地对基站天线方位角与下倾角进行调整，提升用户对信号强度的感知。

Abstract

Aiming at the problem of SON coverage self-optimization proposed in 3GPP

a method based on artificial bee colony algorithm was proposed to optimize the azimuth and down-tilt angles of base station antenna at the same time.Firstly

the base station determined the area to be optimized according to the MR data reported by user equipment

and established the objective function of the average gain of the base station antenna area to be optimized.Secondly

the artificial bee colony algorithm was used to solve the objective function

and the optimal solution of the base station antenna azimuth and down-til tangle was got.Finally

the base station antenna azimuth and down-tiltangles were adjusted to the optimal value to achieve the coverage self-optimization of the base station.Through system modeling

simulation and field verification

taking the RSRP received by the user’s equipment as the index

the identification method using the artificial bee colony algorithm was improved

6.81 dB higher than the initial parameters which were not optimized

and 4.35 dB higher than the method based on artificial experience.The experimental results show that the optimization method proposed can accurately and timely adjust the azimuth and down-tiltangles of the base station antenna according to the user distribution

and improve the signal strength received by the user equipment.

关键词

Keywords

references

3GPP . Telecommunication management; self-organizing networks (SON); concepts and requirements:TS32.500 [S ] . 2018 .

3GPP . Telecommunication management; study on network management (NM) centralized coverage and capacity optimization (CCO) self-organizing networks (SON) function:TR32.836 [S ] . 2014 .

于吉洋 . LTE系统中覆盖自优化技术的研究与应用 [D ] . 北京:北京邮电大学 , 2017 .

YU J Y . Research and application of covering self-optimization technology in LTE system [D ] . Beijing:Beijing University of Posts and Telecommunications , 2017 .

连晓灿 , 张彭园 , 谭国平 , 等 . 长期演进网络中基于粒子群的天线下倾角自优化方法 [J ] . 计算机应用 , 2017 ( 1 ): 97 - 102 .

LIAN X C , ZHANG P Y , TAN G P , et al . Antenna down-tilt angle self-optimization method based on particle swarm in long term evolution network [J ] . Journal of Computer Applications , 2017 ( 1 ): 97 - 102 .

梁松柏 , 陈锋 , 宋海平 , 等 . 基于高斯分布的基站天线最佳方向角定位算法 [J ] . 电信科学 , 2018 , 34 ( 7 ): 134 - 140 .

LIANG S B , CHEN F , SONG H P , et al . Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution [J ] . Telecommunications Science , 2018 , 34 ( 7 ): 134 - 140 .

杨涛 . 基于萤火虫算法优化电调天线下倾角研究 [D ] . 合肥:安徽大学 , 2017 .

YANG T . Optimization of the downdip angle of the electrically modulated antenna based on firefly algorithm [D ] . Hefei:Anhui University , 2017 .

ECKHARDT H , KLEIN S , GRUBER M . Vertical antenna tilt optimization for LTE base stations [C ] // Proceedings of Vehicular Technology Conference . Piscataway:IEEE Press , 2011 .

3GPP . Technical specification group radio access network;spatial channel model for multiple input multiple output (MIMO) simulations:TR25.996 [S ] . 2020 .

KARABOGA D . An idea based on honey bee swarm for numerical optimization:technical report-TR06 [R ] . 2005 .

Views

353

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimization method of wireless indoor coverage based on big data analysis

Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution

An energy saving clustering algorithm based on artificial bee colony in ultra dense network

Related Author

Yuanfeng GONG

Yi HUANG

Songbai LIANG

Feng CHEN

Haiping SONG

Wensheng LI

Pengguang ZHOU

Junwei HUANG

Related Institution

Henan Branch of China United Network Communications Co.,Ltd.

Henan Branch of ZTE Corporation

Zhengzhou C＆SI，Huawei Technologies Co.,Ltd.

⁰