Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles
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 th...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-01-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021006/ |
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| author | Jiaqi CAI Haibin WAN Youming SUN Tuanfa QIN |
| author_facet | Jiaqi CAI Haibin WAN Youming SUN Tuanfa QIN |
| author_sort | Jiaqi CAI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e29f9c6bd066461b97e600fcbbc1fd0a |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e29f9c6bd066461b97e600fcbbc1fd0a2025-01-15T03:25:42ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-01-0137697559806372Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt anglesJiaqi CAIHaibin WANYouming SUNTuanfa QINAiming 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021006/artificial bee colony algorithmcover self-optimizationMRazimuth angle,down-tilt angle |
| spellingShingle | Jiaqi CAI Haibin WAN Youming SUN Tuanfa QIN Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles Dianxin kexue artificial bee colony algorithm cover self-optimization MR azimuth angle, down-tilt angle |
| title | Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles |
| title_full | Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles |
| title_fullStr | Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles |
| title_full_unstemmed | Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles |
| title_short | Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles |
| title_sort | artificial bee colony algorithm based self optimization of base station antenna azimuth and down tilt angles |
| topic | artificial bee colony algorithm cover self-optimization MR azimuth angle, down-tilt angle |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021006/ |
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