重庆邮电大学学报（自然科学版）2026，Vol.38Issue(2)：255-264,10.DOI:10.3979/j.issn.1673-825X.202503120049
面向复杂环境的超密集网络小区合并技术研究
Research on cell merging techniques for ultra-dense networks in complex environments
摘要
Abstract
Although the deployment of ultra-dense networks can effectively address the data rate challenges posed by the rapid growth of wireless Internet of Things(IoT)devices in future networks,it also introduces severe inter-cell interference.To tackle this issue,a mathematical model of the cell merging problem is constructed.A performance evaluation metric based on a linear combination of spectral efficiency(SE)and energy efficiency(EE)is proposed to measure the optimization level of the system,with the objective of maximizing overall communication capacity.To solve the resulting integer programming problem,an experience-based cell merging algorithm and a tabu search-based cell merging algorithm are proposed.Extensive simulations are conducted to compare the impact of different merging strategies on system communication performance.Simulation results show that the application of cell merging techniques can significantly improve the signal-to-interference-plus-noise ratio(SINR).Moreover,the proposed algorithms effectively overcome the limitations of experience-based strategies in optimizing SE and EE,achieving an additional improvement in system communication capacity on top of an approximate 7 dB increase in SINR.关键词
小区合并/小区间干扰/超密集网络/禁忌搜索算法Key words
cell merging/inter-cell interference/ultra-dense networks/tabu search algorithm分类
信息技术与安全科学引用本文复制引用
曾佳俐,高月红,胡智,敬敏..面向复杂环境的超密集网络小区合并技术研究[J].重庆邮电大学学报（自然科学版）,2026,38(2):255-264,10.基金项目
5G演进无线空口智能化研发验证公共平台项目(2022-229-220) Public Platform Project for R&D and Verification of 5G Evolved Wireless Air Interface Intelligence(2022-229-220) （2022-229-220）
