Academic Journal of Engineering and Technology Science, 2022, 5(7); doi: 10.25236/AJETS.2022.050707.
Hao Zhang1, Zhehua Zhang2, Guanghua Li1, Yaping Wang1, Shitong Wang2, Xinyan Wang2
1College of Science, Tibet University, Lhasa, Tibet, 850000, China
2College of Technology, Tibet University, Lhasa, Tibet, 850000, China
In the construction of communication infrastructure, how to reasonably allocate base station types and base station locations according to different business volume in different regions, so as to improve the communication efficiency of the base station coverage area and improve the sharing of resources. In view of the problem that the communication bandwidth is getting larger and larger, but the energy coverage of the base station is getting smaller and smaller, making the number of required base stations to cover the same area, we simplify the types to macro station and micro base station according to the requirements of the topic, and use the base station characteristics given by the problem to conduct mathematical modeling. When considering the different business volume in different regions, priority is given to solving the areas with high business volume and weak coverage. Our use of effective site selection work can not only improve the investment efficiency, but also reduce the construction and maintenance cost of base stations in the actual construction process. Therefore, it is a practical significance to study the site selection of base station. Conduct an example simulation. After the simulation software simulates the grille, the clustering algorithm merges all the weak coverage areas into one group, namely, the similar data is merged, and then the base station is optimized to effectively improve its coverage.
cluster analysis, grille planning
Hao Zhang, Zhehua Zhang, Guanghua Li, Yaping Wang, Shitong Wang, Xinyan Wang. Solution to improve the signal coverage intensity under cluster analysis. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 7: 40-45. https://doi.org/10.25236/AJETS.2022.050707.
 Bu Antao, Shi xiaowei, Liu Ying, et al. Integrated beam-forming base station antenna with a genetic algorithm [J]. Electronic Journal, 2003,31 (009): 1310-1312.
 Chen Shengbing, Jiao Yongchang, Zhang Fushun, et al. Progress of antenna technology of cellular mobile communication base station [J]. Journal of Xidian University, 2003,30 (6): 6.
 Yang Xiaojun, Zhou Letao, Huang Dingfa, et al. VRS / RTK differential correction information using multi-base station network [J]. Surveying and mapping Engineering, 2005,14 (1): 4.
 Wu Jiansheng, Huang Li, Liu Yu, et al. Urban traffic flow simulation based on mobile phone base station data [J]. Journal of Geography, 2012,67 (012): 1657-1665.
 Li Chenggang. VRS technology [D]. Southwest Jiaotong University, 2003.
 Deng Anda, Li Hao, Cheng Ritao, et al. 5G 2.6 GHz and 700 MHz band [J]. 2021.
 An Tao, He Mingxian. Exploration of dual-carbon target achievement and energy-saving and emission reduction technology of mobile communication base station [J]. Mobile Communications, 2022,46 (3): 7.
 NME Voyer. Method for transferring information related to at least a mobile terminal in a mobile telecommunication network: CN, CN100556169 C [P]. 2009.
 YANG Jun, ZHANG DeYun, ZHANG YunYi, et al. Cluster-Based Data Aggregation and Transmission Protocol for Wireless Sensor Networks cluster-based wireless sensor network [J]. Software Journal, 2010,21 (5): 1127-1137.