针对M2M业务的IEEE 802.11优化及其性能评价  

IEEE 802.11 optimization and performance evaluation for M2M services

作　　者：迟学芬[1] 马丽君[1] 王雅辉[1] 石文孝[1] 

机构地区：[1]吉林大学通信工程学院,长春130012

出　　处：《吉林大学学报（工学版）》2014年第5期1488-1497,共10页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(61071074);吉林省科技发展计划项目(20130413052GH)

摘　　要：为降低IEEE 802.11接入过程中误码引起的竞争失败率,提出一种无退避、快速重传算法,推导了MAC层服务时间概率分布,建立了IBP/Gw/1/K离散时间排队系统,研究了非饱和负载下M2M业务在802.11非理想信道下的传输性能。为了提高海量M2M终端在802.11网络中的接入效率,提出一种动态调整窗口的算法。为模拟802.11接入和IP承载网络传输M2M业务的通信场景,基于串联排队理论,建立了多节点串联排队网络模型,并求解了M2M业务的端到端性能指标。仿真表明:两种改进算法有效提高了802.11的服务效率;异质业务接入802.11网络的场景中,突发度小的M2M业务能获得更好的QoS。To reduce the probability of access failure caused by channel error, an algorithm featured by no backoff and fast retransmission was proposed for the access procedure of IEEE 809. 11. The probability distribution of Medium Access Control （MAC） layer service was derived, and 1BP/Gw/1/ K discrete-time queuing model was established to analyze the QoS performance of M2M under unsaturated traffic condition and imperfect channel in the IEEE 802.11. To improve the transmission efficiency of massive M2M services, a dynamic window adjustment algorithm was put forward. Based on the tandem queuing network theory, a tandem queuing model was established to depict the real communication scenario, which was made up of wireless access network and IP core network. System end-to-end performance indicators were derived from M2M services. Simulation results indicate that the proposed algorithm can effectively improve the service efficiency of IEEE 802. 11. The M2M services with low degree of burst canget better QoS when heterogeneous M2M services coexist in the network.

关 键 词：通信技术 服务质量 串联排队理论 离去过程 

分 类 号：TN925[电子电信—通信与信息系统]