基于人工蜂群算法的基站天线方位角与下倾角自优化方法

蔡佳祺; 万海斌; 孙友明; 覃团发

doi:10.11959/j.issn.1000-0801.2021006

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基于人工蜂群算法的基站天线方位角与下倾角自优化方法

研究与开发 | 更新时间：2024-06-05

- 基于人工蜂群算法的基站天线方位角与下倾角自优化方法
- Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles
- 电信科学 2021年37卷第1期页码：69-75
- 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：
  
  [ "蔡佳祺（1992- ），男，广西大学计算机与电子信息学院硕士生，中国联合网络通信有限公司漯河市分公司工程师，主要研究方向为无线网络优化与自组织网络等。" ]
  [ "万海斌（1979- ），男，博士，广西大学计算机与电子信息学院副教授，主要研究方向为人工智能、中继协作通信、预编码以及网络优化等。" ]
  [ "孙友明（1975- ），男，博士，广西大学计算机与电子信息学院计算机与电子信息学院讲师，主要研究方向为编译码理论与网络优化技术等。" ]
  [ "覃团发（1966- ），男，博士，广西大学教授、博士生导师，广西多媒体通信与网络技术重点实验室主任，主要研究方向为无线多媒体通信、网络编码以及区块链技术等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61661005);国家自然科学基金资助项目;The National Natural Science Foundation of China(61761007);国家自然科学基金资助项目;The National Natural Science Foundation of China(61761006);广西自然科学基金资助项目;The Natural Science Foundation of Guangxi(2018GXNSFAA138079);广西自然科学基金资助项目;The Natural Science Foundation of Guangxi(2017GXNSFAA198276)
- DOI：10.11959/j.issn.1000-0801.2021006
  中图分类号： TN929.5
- 网络出版日期：2021-01，
  
  纸质出版日期：2021-01-20
- 稿件说明：
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蔡佳祺, 万海斌, 孙友明, 等. 基于人工蜂群算法的基站天线方位角与下倾角自优化方法[J]. 电信科学, 2021,37(1):69-75.

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.
蔡佳祺, 万海斌, 孙友明, 等. 基于人工蜂群算法的基站天线方位角与下倾角自优化方法[J]. 电信科学, 2021,37(1):69-75. DOI： 10.11959/j.issn.1000-0801.2021006.

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

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