融合多源异构数据的城市复杂环境下5G网络覆盖价值评估与优化方法

刘少蔚; 王迎春; 齐勇; 程立杰; 李寅; 黄龙; 李武

doi:10.11959/j.issn.1000-0801.DXKX260016

您当前的位置：

首页 >

文章列表页 >

融合多源异构数据的城市复杂环境下5G网络覆盖价值评估与优化方法

更新时间：2026-05-11

- 融合多源异构数据的城市复杂环境下5G网络覆盖价值评估与优化方法
- Integration of Multi-Source Heterogeneous Data for Value Assessment and Optimization Methods of 5G Network Coverage in Complex Urban Environments
- 电信科学 2026年
- 作者机构：
  
  1.重庆市信息通信咨询设计院有限公司，重庆市，400039
  2.中国电信集团有限公司重庆分公司，重庆市，401120
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260016
  中图分类号： TN929.5
- 收稿：2026-01-07，
  
  修回：2026-04-10，
  
  录用：2026-05-11，
- 稿件说明：
移动端阅览
刘少蔚, 王迎春, 齐勇, 等. 融合多源异构数据的城市复杂环境下5G网络覆盖价值评估与优化方法[J/OL]. 电信科学, 2026.

LIU Shaowei, WANG Yingchun, QI Yong, et al. Integration of Multi-Source Heterogeneous Data for Value Assessment and Optimization Methods of 5G Network Coverage in Complex Urban Environments[J/OL]. Telecommunications Science, 2026.
刘少蔚, 王迎春, 齐勇, 等. 融合多源异构数据的城市复杂环境下5G网络覆盖价值评估与优化方法[J/OL]. 电信科学, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260016.

LIU Shaowei, WANG Yingchun, QI Yong, et al. Integration of Multi-Source Heterogeneous Data for Value Assessment and Optimization Methods of 5G Network Coverage in Complex Urban Environments[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260016.

摘要

5G网络建设进入精细化运营阶段后，城区居民区的5G覆盖质量成为影响用户体验的关键指标。针对传统评估方法在多维度关联性分析、问题定位精度上的不足，以及难以适配精细化规划需求等短板，提出一种基于地理空间大数据融合的城区居民区5G覆盖评估模型。该模型整合楼宇POI、小区级网管数据、栅格级用户感知数据等多源异构信息，构建四大协同子模型，实现从场景细分到投资优先级量化的全流程评估；其中，引入LambdaMART算法作为核心排序机制，有效支撑多维指标融合下的精准价值排序。实验结果显示，模型的弱覆盖识别准确率达92.5%，决策质量与专家判断高度吻合（NDCG>0.9）。该模型可有效提升覆盖评估的效率与精度，为5G网络的精细化规划优化提供科学的决策支持。

Abstract

As 5G network construction progresses into the stage of refined operation

the quality of 5G coverage in urban residential areas has become a critical indicator influencing user experience. To overcome the limitations of traditional evaluation methods—such as insufficient multi-dimensional correlation analysis

low problem localization accuracy

and poor adaptability to refined planning requirements—this paper proposes a 5G coverage evaluation model for urban residential areas based on geospatial big data fusion. The model integrates multi-source heterogeneous information

including building points of interest (POI)

cell-level network management data

and grid-level user perception data

and constructs four collaborative sub-models to enable full-process evaluation ranging from scenario segmentation to investment priority quantification. The LambdaMART algorithm is introduced as the core ranking mechanism

effectively supporting precise value ranking under the fusion of multi-dimensional indicators. Experimental results demonstrate that the model achieves a weak coverage identification accuracy of 92.5%

and its decision quality is highly consistent with expert judgment (NDCG>0.9). The proposed model significantly improves the efficiency and accuracy of coverage evaluation

providing scientific decision support for the refined planning and optimization of 5G networks.

关键词

Keywords

references

Hossain E , Hasan M . 5G cellular: key enabling technologies and research challenges [J ] . IEEE Instrumentation & Measurement Magazine , 2015 , 18 ( 3 ): 11 - 21 . [LinkOut ]

Suryanto S , Ningsih Y K . Overview of 5G services and spectrum deployment in urban regions [J ] . Jurnal Sains , Teknologi dan Informatika, 2024 , 11 ( 1 ): 91 - 102 . [LinkOut ]

周灿 , 史文祥 , 王森 , 等 . 基于OTT MR数据的规建维优营分析体系研究 [J ] . 邮电设计技术 , 2024 ( 10 ): 42 - 48 .

Zhou C , Shi W X , Wang S , et al . Research on analysis system of PCMOM(planning, construction, maintenance, optimization, marketing)based on OTT MR data [J ] . Designing Techniques of Posts and Telecommunications , 2024 ( 10 ): 42 - 48 . [万方 ]

陈玲 , 张鹏 , 龙青良 , 等 . 基于多维价值评估的楼宇分类体系及场景化解决方案 [J ] . 邮电设计技术 , 2023 ( 2 ): 54 - 57 .

Chen L , Zhang P , Long Q L , et al . Building classification system and scenario solution based on multi-dimensional valuation [J ] . Designing Techniques of Posts and Telecommunications , 2023 ( 2 ): 54 - 57 . [万方 ]

Usa D E , Vasdev K . GIS for 5G network deployment: optimizing coverage and capacity with spatial analysis [J ] . Journal of Artificial Intelligence & Cloud Computing , 2022 , 1 ( 3 ): 1 - 3 . [LinkOut ]

Wen L , Tan H , Li W H , et al . Evaluating the coverage of 5G signals: coupling spatial autocorrelation and 3D sight lines based on GIS [C ] // Mobile Networks and Management . Cham : Springer , 2023 : 255 - 264 . [LinkOut ]

孟炜谱 , 刘旭东 , 苗二龙 , 等 . 基于众筹模式的5G网络评估与优化 [J ] . 邮电设计技术 , 2023 ( 10 ): 50 - 53 .

Meng W P , Liu X D , Miao E L , et al . 5G network evaluation and optimization based on crowdfunding model [J ] . Designing Techniques of Posts and Telecommunications , 2023 ( 10 ): 50 - 53 . [知网 ] [知网英文 ]

Martínez Abuabara R , Robles C A , Camargo L L . A multicriteria model for prioritizing 5G network deployment with Monte Carlo stability analysis: a case study in Magdalena, Colombia [J ] . PLoS One , 2025 , 20 ( 10 ): e0334781 . [LinkOut ]

Liu B L , Li Q , Zheng Z H , et al . A review of multi-source data fusion and analysis algorithms in smart city construction: facilitating real estate management and urban optimization [J ] . Algorithms , 2025 , 18 ( 1 ): 30 . [LinkOut ]

Heintz F . DyKnow: A Stream-Based Knowledge Processing Middleware Framework [J ] . Linköping University Electronic Press , 2009 .

Hoffman D D , Singh M , Prakash C . The interface theory of perception [J ] . Psychonomic Bulletin & Review , 2015 , 22 ( 6 ): 1480 - 1506 . [LinkOut ]

Zhang W Q , Zhao K , Li P , et al . A closed-loop perception, decision-making and reasoning mechanism for human-like navigation [C ] // Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence . International Joint Conferences on Artificial Intelligence Organization , 2022 : 4717 - 4724 . [LinkOut ]

Mugglin A S , Carlin B P , Gelfand A E . Fully model-based approaches for spatially misaligned data [J ] . Journal of the American Statistical Association , 2000 , 95 ( 451 ): 877 - 887 . [LinkOut ]

Chaves-Villota A , Viteri-Mera C A . DeepREM: deep-learning-based radio environment map estimation from sparse measurements [J ] . IEEE Access , 2023 , 11 : 48697 - 48714 . [LinkOut ]

Li P Z , Wang X Y , Piechocki R , et al . Variational autoencoder assisted neural network likelihood RSRP prediction model [C ] // Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) . Piscataway : IEEE Press , 2022 : 554 - 559 . [LinkOut ]

Ma L , Jin N D , Zhang Y L , et al . RSRP difference elimination and motion state classification for fingerprint-based cellular network positioning system [J ] . Telecommunication Systems , 2019 , 71 ( 2 ): 191 - 203 . [LinkOut ]

Wegner T . Applied Business Statistics: Methods and Excel-Based Applications [J ] . 2010 .

Kupper L L , Hafner K B . How appropriate are popular sample size formulas? [J ] . The American Statistician , 1989 , 43 ( 2 ): 101 - 105 . [LinkOut ]

Greenland S . On sample-size and power calculations for studies using confidence intervals [J ] . American Journal of Epidemiology , 1988 , 128 ( 1 ): 231 - 237 . [LinkOut ]

Kyrgyzov I O . Mining satellite image database of landscapes and application for urban zones: clustering, consensus and categorisation [J ] . 2008 .

Zhang S J , Xia Y , Li Z J , et al . An assessment of urban residential environment quality based on multi-source geospatial data: a case study of Beijing, China [J ] . Land , 2024 , 13 ( 6 ): 823 . [LinkOut ]

Xia Z X , Chong S . WiFi-based indoor passive fall detection for medical Internet of Things [J ] . Computers and Electrical Engineering , 2023 , 109 : 108763 . [Li nkOut ]

Bergstra J , Bardenet R , Bengio Y , et al . Algorithms for Hyper-Parameter Optimization [J ] . Advances in Neural Information Processing Systems , 2011 : 2546 - 2554 .

Li X , Guo H , Xie W L , et al . A 5G coverage calculation optimization algorithm based on multifrequency collaboration [J ] . Electronics , 2023 , 12 ( 19 ): 4044 . [LinkOut ]

Fauzan A , Fadillah G , Fitria A , et al . Cluster mapping of waste exposure using DBSCAN approach: study of spatial patterns and potential distribution in bantul regency [J ] . International Journal on Informatics Visualization , 2024 , 8 ( 2 ): 751 . [LinkOut ]

夏鲁宁 , 荆继武 . SA-DBSCAN: 一种自适应基于密度聚类算法 [J ] . 中国科学院研究生院学报 , 2009 , 26 ( 4 ): 530 - 538 .

Xia L N , Jing J W . SA-DBSCAN: a self-adaptive density-based clustering algorithm [J ] . Journal of the Graduate School of the Chinese Academy of Sciences , 2009 , 26 ( 4 ): 530 - 538 . [万方 ]

Monko G J , Kimura M . Optimized DBSCAN parameter selection: stratified sampling for epsilon and gridsearch for minimum samples [C ] // Proceedings of the Software Engineering and Automation . Academy & Industry Research Collaboration Center , 2023 : 43 - 61 . [LinkOut ]

Karami A , Johansson R . Choosing DBSCAN parameters automatically using differential evolution [J ] . International Journal of Computer Applications , 2014 , 91 ( 7 ): 1 - 11 . [LinkOut ]

Matsumoto N , Hamakawa Y , Tatsumura K , et al . Distance-based clustering using QUBO formulations [J ] . Scientific Reports , 2022 , 12 : 2669 . [LinkOut ]

Zhang X L , Zhou S B . WOA-DBSCAN: application of whale optimization algorithm in DBSCAN parameter adaption [J ] . IEEE Access , 2023 , 11 : 91861 - 91878 . [LinkOut ]

方洪鹰 . 数据挖掘中数据预处理的方法研究 [D ] . 重庆 : 西南大学 , 2009 . [知网硕士中文 ]

王满 , 徐朝军 . 网络课程资源自动量化评价研究 [J ] . 现代图书情报技术 , 2010 ( 1 ): 88 - 93 .

Wang M , Xu C J . Study on automatic quantitative evaluation of web course resources [J ] . New Technology of Library and Information Service , 2010 ( 1 ): 88 - 93 . [知网 ] [知网英文 ]

唐懿芳 , 钟达夫 . 主成分分析方法对数据进行预处理 [J ] . 广西师范大学学报(哲学社会科学版) , 2002 , 38 ( S1 ): 223 - 225 .

Tang Y F , Zhong D F . Principal component analysis is used to preprocess the data [J ] . Journal of Guangxi Normal University (Philosophy and Social Sciences Edition) , 2002 , 38 ( S1 ): 223 - 225 . [知网 ] [Sogou标题中译英 ]

Burges C J C . From RankNet to LambdaRank to LambdaMART: An Overview [J ] . learning , 2010 .

Haenelt K . Ranking with Boosted Decision Trees [J ] . 2012 .

Fu Y J , Ge Y , Zheng Y , et al . Sparse real estate ranking with online user reviews and offline moving behaviors [C ] // Proceedings of the 2014 IEEE International Conference on Data Mining . Piscataway : IEEE Press , 2014 : 120 - 129 . [LinkOut ]

Zhang X , Ren Z , Li X , et al . Phocus: Picking Valuable Research from a Sea of Citations [J ] . 2022

Munir M S , Kim K T , Adhikary A , et al . Neuro-symbolic explainable artificial intelligence twin for zero-touch IoE in wireless network [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 24 ): 22451 - 22468 . [LinkOut ]

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于移动用户画像的高铁5G专网优化方案研究

融合多源数据与机器学习的Smart CAPEX无线网络规划方法

低空通信网络优化研究

面向工业互联网的5G空口双发选收技术应用研究

RFA-XGBoost模型在移动网络潜在投诉用户预测中的应用