通信学报2025，Vol.46Issue(z1)：110-120,11.DOI:10.11959/j.issn.1000-436x.2025234
基于贝叶斯估计的FTTR网络OBSS/PD阈值动态优化方法
Bayesian estimation-based dynamic optimization method of OBSS/PD thresholds for FTTR networks
摘要
Abstract
To optimize the spatial reuse efficiency of fiber-to-the-room(FTTR)networks in random channel competition environments,a OBSS/PD threshold dynamic optimization method based on Bayesian estimation was proposed.The method was designed with deep reliance on and full utilization of the advantages of the FTTR C-WAN architecture.Spe-cifically,leveraging the distributed deployment feature of sub FTTR unit(SFU)in the FTTR system,each SFU collected local channel observation information and inferred the transmission intentions of each station(STA)slot-by-slot using a Bayesian estimation algorithm.Subsequently,relying on the C-WAN architecture,the inference results were aggregated to the main FTTR unit(MFU).The MFU performed centralized optimization of OBSS/PD thresholds using the succes-sive convex approximation(SCA)algorithm and distributed the optimized threshold configurations back to each SFU,forming a complete operational process.Simulation results demonstrate that the proposed method achieves accurate esti-mation of node transmission states and significantly outperforms the standard default threshold scheme in terms of spec-tral efficiency under scenarios with different traffic arrival rates and network scales.关键词
FTTR/OBSS/PD阈值/贝叶斯估计/频谱效率/逐次凸近似Key words
FTTR/OBSS/PD threshold/Bayesian estimation/spectral efficiency/SCA分类
信息技术与安全科学引用本文复制引用
胡智文,李宇灏,詹文,刘佩,陈翔..基于贝叶斯估计的FTTR网络OBSS/PD阈值动态优化方法[J].通信学报,2025,46(z1):110-120,11.基金项目
国家自然科学基金资助项目(No.62471346) （No.62471346）
国家留学基金资助项目(No.202306950052) （No.202306950052）
湖北省青年拔尖人才培养计划资助项目 （）
广东省基础与应用基础研究基金资助项目(No.2024A1515010247,No.2025A1515010235) （No.2024A1515010247,No.2025A1515010235）
湖北省科技创新人才计划青年科技人才培养资助项目(No.2025DJA061)The National Natural Science Foundation of China(No.62471346),China Scholarship Council(No.202306950052),The Young Top-notch Talent Cultivation Program of Hubei Province,Guangdong Basic and Applied Basic Research Foundation(No.2024A1515010247,No.2025A1515010235),The Youth Science Technology Talent Training Project of the Science and Technol-ogy Innovation Talent Program of Hubei Province(No.2025DJA061) （No.2025DJA061）
