摘要
物联网环境下LTE(long term evolution)网络的上行流量为主要流量,网络服务的类型较多。提出了一种自适应的流量公平调度算法,控制了物联网大数据流导致LTE网络拥塞的问题。在时间域数据包的调度中,设计了一种M2M(machine to machine)设备数量的控制机制,避免了M2M通信对H2H通信的影响,调度器使用资源分配的历史记录来估计当前H2H设备的资源需求,并为H2H设备保留充足的资源。在频率域数据包调度中,根据拥塞的级别动态地选择M2M设备的最大数量,从而缓解网络拥塞导致事件驱动型设备的延迟现象。仿真实验结果表明:本调度器保证了网络流量的QoS,实现了较高的公平性,从而缓解了"饿死"现象的发生。
The uplink traffic becomes the main traffic and there are many types of network services in LTE network in the scenario of Internet of Things,an adaptive traffic fair scheduler for LTE network is proposed to control the congestion of LTE network because of introducing the Internet of Things. In the time domain packet scheduling process,a mechanism for controlling the count of M2 M devices is designed to prevent the influence to the H2 H communication by M2 M communication. The historic information of resource allocation is used by the scheduler to estimate the current resource requirement of the H2 H devices,and enough resource are reserved for H2 H devices. In the frequency domain packet scheduling process,the maximum count of M2 M devices is selected dynamically according to the congestion levels of the network to reduce the delay of event-driven devices caused by network congestion. Simulation experimental results show that the proposed scheduler satisfies the QoS requirements of LTE network,and realizes a good fairness to avoid the problem of starvation.
作者
钟健
杨琼
高薇
ZHONG Jian;YANG Qiong;GAO Wei(School of Computer Science & Engineering,Tianhe College of Guangdong Polytechnic Normal University, Guangzhou 510540, China;Department of Education of Information Technology, East China Normal University, Shanghai 200062, China;Software College, Yunnan University, Kunming 650091 , China)
出处
《重庆理工大学学报(自然科学)》
CAS
北大核心
2019年第9期182-189,共8页
Journal of Chongqing University of Technology:Natural Science
基金
广东省本科高校教学质量与教学改革工程建设项目(粤教科函[2016]233号)
广东省教育厅科研平台及科研项目(2016KTSCX186、2017KQNCX269)
广东技术师范大学天河学院计算机科学与技术重点学科建设项目(Xjt201702)
关键词
物联网
蜂窝网络
机器与机器通信
拥塞控制
调度公平性
internet of things
cellular network
machine to machine communication
congestion control
the fairness of the scheduler