摘要
为了满足未来移动互联网中用户的超低时延和超高可靠需求,将无线缓存技术与无小区大规模多输入多输出系统相结合,设计了基于AP间协作缓存及区域流行度评估的缓存模型。推导出涉及AP分簇、协作缓存以及区域流行度的传输时延表达式,并将内容放置问题表述为最小化总内容传输时延问题。通过对优化问题的NP-hard和拟阵约束下次模单调性的证明,提出了基于贪婪算法的缓存部署优化策略。仿真结果表明,所提策略可有效降低系统内容传输时延和提升缓存命中率。
To meet the ultra-low latency and ultra-high reliability requirements of users in the future mobile Internet,the wireless caching technology was combined with Cell-Free massive MIMO systems.The caching model was designed based on AP cooperative caching and regional popularity evaluation.The transmission delay expression involving AP clustering,cooperative caching,and regional popularity was derived,and the content placement problem was expressed as total content transmission delay minimization.Through the demonstration of the NP-hard and submodular monotony of the optimization problem,the greedy algorithm-based optimization strategy was proposed.Simulation results show that the proposed strategy can effectively reduce the content transmission delay and improve the cache hit rate.
作者
王蕊
申敏
何云
刘香燕
WANG Rui;SHEN Min;HE Yun;LIU Xiangyan(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Physics and Electronic Engineering,Yuxi Normal University,Yuxi 653100,China)
出处
《通信学报》
EI
CSCD
北大核心
2021年第12期134-143,共10页
Journal on Communications
基金
国家科技重大专项基金资助项目(No.2018ZX03001026-002)
云南省地方本科高校(部分)基础研究联合专项资金资助项目(No.2018FH001-120)
重庆邮电大学博士研究生创新人才基金资助项目(No.BYJS202102)。
