Article Details

Abstract

This paper proposes a residential community value classification method suitable for mobile network construction. By introducing a multi-dimensional indicator system and the weighted entropy weight method, it comprehensively considers key metrics such as mobile network traffic, user base, user value, number of permanent residents, and broadband coverage to achieve a scientific classification of residential communities. This ensures the precise allocation of wireless base station resources. The method employs a three-level balancing and ranking mechanism (nation-province-city) combined with the entropy weight method for determining indicator weights, effectively avoiding biases caused by regional disparities and enhancing the objectivity and practicality of the classification. Based on the results, differentiated wireless network coverage strategies are proposed. The method's effectiveness is verified through application in a live network, providing a theoretical basis and practical guidance for the in-depth coverage construction of 5G networks.

Keywords

residential community; value classification; entropy weight method; 5G coverage; network construction; resource optimization

References

1. [1] Wang Zhaoyu, Wang Sen, and Suo Xiaoxin Research on the Methodology of Precise Planning and Construction of Wireless Networks [J]. Postal and Telecommunications Design Technology, 2023 (10): 1-5
2. [2] Li Bei, Wang Xinyan, Mo Chongling, Chen Lei, Wang Xin, Ding Guoren, "Signal Upgrade" Special Action from the Perspective of Mobile Data Service Perception Improvement ", China Telecom Industry, 2024 (10): 36-38
3. [3] Ding Jie, Sun Yiting, Fan Ling Research on Efficient 5G Coverage Scheme for Residential Communities [J]. Digital Communication World, 2023 (11): 14-16
4. [4] Li Qian, Wang Wei, Xie Ke, etc Low cost and low-energy construction of 5G indoor distribution system [J]. Communication and Information Technology, 2022 (4): 91-94
5. [5] Exploration of Low Cost Construction Plan for 5G Residential Quarters by Ye Shuping [J]. Guangdong Communication Technology, 2025, 45 (4): 28-31, 75
6. [6] Wang Lei Analysis of Low Cost Construction Plan for Urban Macro Base Stations [J]. Telecom Express, 2015 (9): 30-36
7. [7] Wang Zhaoyu, Suo Xiaoxin, Zhang Gou A confidence interval based scoring method for 5G planning base stations [J]. Guangdong Communication Technology, 2023, 43 (3): 47-48, 74
8. [8] Wang Zhaoyu, Suo Xiaoxin, Zhang Chenyu, etc Research on a 5G wireless network planning strategy based on big data [J]. Guangdong Communication Technology, 2021, 41 (11): 36-38
9. [9] Liu Xin, Rao Xiaozheng, Liu Yang Construction method and practice of multi-dimensional base station value evaluation system based on clustering algorithm [J]. Guangdong Communication Technology, 2023, 43 (11): 11-16
10. [10] Research on Site Planning Strategy for Kanglingpo 5G Base Station [J]. Electronic World, 2021 (16): 9-10

About the authors

Deng Haodong (1995-), male, Han ethnicity, from Dongguan, Guangdong Province, intermediate engineer, master's student, research direction: wireless networks and their planning; Wang Zhaoyu (1987-), male, Han ethnicity, born in Zhengzhou, Henan Province, is a senior engineer and a master's student. His research direction is wireless network data analysis; Suo Xiaoxin (1981-), male, Manchu, from Xining, Qinghai, senior engineer, bachelor's degree, research direction: wireless networks and their planning; Wang Huidong (1980-), male, Han ethnicity, from Zhengzhou, Henan Province, is a senior engineer with a bachelor's degree. His research interests include wireless networks and their planning; Chen Qingqing (1996-), male, Han ethnicity, born in Jiaozuo, Henan Province, is an intermediate engineer and a master's student. His research direction is wireless networks and their planning.