摘要
针对采用多点协调传输技术的异构超密集网络,提出了基于势博弈的负载已知用户关联算法。负载已知用户关联算法可在满足用户服务质量需求的前提下均衡基站负载,避免宏基站过载,同时可有效提升网络吞吐量。该算法适用于对数据传输速率有一定要求的物联网应用场景,仿真实验验证了算法的有效性。
A load-aware user association(LAUA)algorithm based on potential game theory for ultra dense network(UDN)with coordinated multi-point(CoMP)transmission technique was proposed.LAUA algorithm was capable to balance the load of base stations on the premise of satisfying users’demand for quality of service,avoid over loading problem in heterogeneous UDN.This algorithm was applicable to the Internet of things application scenario that required uploading vedio data and other data transmission rates.The effectiveness of the proposed algorithm was proved by the simulation experiment.
作者
于佳
梁亚超
顾术实
王野
YU Jia;LIANG Yachao;GU Shushi;WANG Ye(School of Electronic and Information Engineering,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China;Network and Communication Research Centre,Pengcheng Laboratory,Shenzhen 518055,China)
出处
《物联网学报》
2019年第1期30-36,共7页
Chinese Journal on Internet of Things
基金
国家自然科学基金资助项目(No.61701136,No.61831008,No.61525103)
关键词
超密集网络
多点协调
负载已知
用户关联
ultra dense network
coordinated multi-point
load-aware
user association
