摘要
为了对软件定义无线网络系统中虚拟接入点(VAP)状态信息进行实时测量,根据实际网络中虚拟接入点性能的数据特征,提出一种基于随机游走的自适应矩阵填充算法(RW-MC)。首先,基于离散度和覆盖度的采样模型确定初始样本点;然后,利用随机游走模型对之前时隙的采样点序列建模分析,确定新时隙的测量点;最后,比较相邻窗口的恢复矩阵中重叠部分的误差率与标准误差,实现测量点的动态自适应。实验表明,该测量方法能够在低采样率、低误差的情况下实现对全网VAP实时感知。
Concerning the continually perceiving performance of virtual access points(VAP)was urgent in software-defined wireless network(SDWN),with the features of VAPs'measurement data(VMD),a self-adaptive matrix completion algorithm based on random walk was proposed,named RW-MC.Firstly,the discrete ratio and covering ratio of VMD account for a sample determination model was used to claim initial samples.Secondly,random walk model was implemented for generating sampling data points in the next iteration.Finally,a self-adaptive sampling redress model concerning the differences between the current error rates and normalize error rates of neighboring completion matrices.The experiments show that the approach can collect the real-time sensory data,meanwhile,maintain a relatively low error rate for a small sampling rate.
作者
王新恒
王倩云
王佳杰
赵国锋
靳文强
WANG Xin-heng;WANG Qian-yun;WANG Jia-jie;ZHAO Guo-feng;JIN Wen-qiang(School of Communication, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
出处
《通信学报》
EI
CSCD
北大核心
2017年第9期95-105,共11页
Journal on Communications
基金
国家自然科学基金资助项目(No.61402065)
国家重点基础研究发展计划("973"计划)基金资助项目(No.2012CB315803
No.2012CB315806)~~
