Practical Pathways for Optimizing Rural Communication Networks in Mountainous Areas Using Artificial Intelligence
DOI:
https://doi.org/10.70088/xvyr9437Keywords:
Artificial intelligence, Rural communication network, Network optimization, Human-machine collaboration, Mountainous coverageAbstract
Aiming at weak communication network coverage and low-efficiency manual network optimization (NRO) troubleshooting in mountainous rural areas, this paper proposes an artificial intelligence (AI) assisted NRO approach, constructing a human-machine collaborative workflow: "AI simulation pre-judgment, data preliminary screening, engineer on-site recheck, closed-loop iterative optimization." AI leverages massive data processing for coverage simulation, poor-quality user mining, tidal traffic analysis, and geological hazard identification to narrow manual inspection scope; engineers conduct targeted rectification and feed measured data back to correct model deviations. This study selects typical mountainous townships in Hanzhong as pilot, integrating multi-source data including measurement reports (MR), base-station engineering parameters, traffic key performance indicators (KPI), user complaint tickets, and digital elevation model (DEM). AI pre-screening output 42 points to be checked; after on-site recheck, 14 false alarms were removed and 28 real problems confirmed. Optimization effects were compared across network quality, user perception, O&M workload, and hazard early-warning dimensions. Implementation constraints including model bias, outdated equipment, talent shortage, funding insufficiency, and data barriers are analyzed, with countermeasures proposed from operation mechanism, hardware iteration, talent cultivation, resource coordination, and data governance dimensions, providing reference for large-scale AI application in rural communication NRO.References
J. B. Xu, Y. L. Wu, and W. R. Xu, "Tabu search algorithm for handoff cell in cellular mobile networks," J. Donghua Univ. Nat. Sci., no. 1, pp. 76–80, 91, 2005.
B. H. Han, "Research on intelligent optimization algorithm of communication network based on artificial intelligence," Digit. Commun. World, no. 7, pp. 18–20, 2026.
W. J. Ye, "Coverage optimization strategy of 5G mobile communication network based on artificial intelligence under different scenarios," Commun. World, vol. 33, no. 6, pp. 34–36, 2026.
M. Huang, "Artificial intelligence enabled communication network construction optimization and intelligent operation and maintenance system construction," Commun. World, vol. 33, no. 5, pp. 196–198, 2026.
J. B. Shi, "Application of artificial intelligence in communication network traffic prediction and optimization," China Mil.-Civ. Trans., no. 4, pp. 53–54, 2026.
F. Zhou, "Artificial intelligence driven communication network operation and maintenance optimization," Sci. Technol. Vision, vol. 15, no. 35, pp. 85–87, 2025.
M. X. Liu and W. Z. Tu, "Discussion on methods of optimizing power communication network operation and maintenance management using big data and artificial intelligence," Inf. Rec. Mater., vol. 26, no. 1, pp. 41–43, 2025, doi: 10.16009/j.cnki.cn13-1295/tq.2025.01.054.
C. H. Li, "Analysis of communication network optimization based on the integration of intelligent technology and big data," Electron. Technol., vol. 54, no. 1, pp. 266–267, 2025.
J. T. Jiao and D. Peng, "Implementation approaches of energy consumption optimization in mobile communication networks based on artificial intelligence," Digit. Technol. Appl., vol. 43, no. 9, pp. 22–24, 2025.
J. Wang and J. Liao, "Research on interference identification and optimization of GSM-R network based on locally deployed artificial intelligence model," Railway Signal Commun., vol. 61, no. 7, pp. 1–7, 2025, doi: 10.13879/j.issn.1000-7458.2025-07.25097.
Y. Huang, L. J. Sun, and Y. Q. Ji, "Application status and development trend of artificial intelligence in communication network optimization," Commun. Manag. Technol., no. 6, pp. 30–33, 2024.
W. J. Shi, "Research on electronic information communication network optimization from the perspective of artificial intelligence drive," China Broadband, vol. 20, no. 9, pp. 139–141, 2024, doi: 10.20167/j.cnki.ISSN1673-7911.2024.09.47.
J. X. Liang, "Research on fault diagnosis and optimization method of power station communication network under artificial intelligence," Inf. Comput. (Theor. Ed.), vol. 36, no. 12, pp. 182–184, 2024.
K. Zhang, "Innovation of network operation and maintenance mode based on big data + artificial intelligence technology," Zhejiang Branch, China United Network Communications Co., Ltd., Apr. 15, 2018.
J. F. Du and J. D. Song, "Research on intelligent optimization method of cellular mobile communication network," J. Beijing Univ. Posts Telecommun., no. 2, pp. 92–96, 2001.
G. Y. Liu, F. Qin, J. H. Zhang, et al., 6G: Transformation from Communication to Multi-Capability Integration. Beijing, China: Publishing House of Electronics Industry, 2024.
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Copyright (c) 2026 Yong Li, Chao Lu (Author)
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