基于流量预测的随机接入控制方法  

Random-access control method based on traffic prediction

作　　者：陈发堂[1] 张云 张欢[1] CHEN Fa-tang;ZHANG Yun;ZHANG Huan(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《计算机工程与设计》2020年第3期645-649,共5页Computer Engineering and Design

基　　金：国家科技重大专项基金项目(2017ZX03001021)。

摘　　要：为有效缓解机器类通信业务场景下的网络接入冲突,提出一种基于流量预测的随机接入控制方法。采用一种基于最大Lyapunov指数的预测法,根据小区内参与竞争随机接入的终端数量计算最大Lyapunov指数,判断时间序列的混沌特性,预测下一时刻竞争接入的终端数量。采用自适应统一接入控制(UAC)方式实时调节参与竞争随机接入信道(RACH)的终端数量。仿真结果表明,该方法具有更高的接入成功率和更低的接入冲突率,改善了网络接入状况。To alleviate the network access conflicts in machine-type communication,a random-access control method based on traffic prediction was proposed.A predication method based on the maximum Lyapunov exponent,considering the number of terminals engaged in the contention-based random access,was used to calculate the maximum Lyapunov exponent.The chaotic characteristic of the time series was determined.The number of terminals competing for access resources at the next moment was predicted.To adjust the real-time terminals participating in the random access channel(RACH),an adaptive unified access control(UAC)method was adopted.The simulation results show that the proposed method has higher access success rate and lower access collision rate,and it effectively improves network access conditions.

关 键 词：5G新无线 自适应UAC 随机接入 最大LYAPUNOV指数 流量预测 

分 类 号：TN929.5[电子电信—通信与信息系统]