Abstract
EPON是配用电通信网中一种常用的通信和组网技术。在传输过程中，需要有效分配EPON网络的带宽，通常利用具有自适应周期的交错轮询方法分配传输时隙。为了解决固定轮询周期造成的等待和延迟，需要对ONU的流量进行分析和预测。本文以减小延迟为目的，提出了一种利用最小均方多项式和最小均方自适应滤波法预测单个EPON周期数据帧到达时间和周期持续时间的算法。利用分析得到的帧到达时间和下个周期持续时间，计算下个周期累积的数据量，进而分配对应的带宽和传输周期。仿真表明，该算法可以适应不同承载负荷与流量突发性网络，可以有效降低网络延迟。 EPON is a common communication and networking technology used in distribution network. In order to allocate the bandwidth of the EPON network effectively, the transmission slot is allocated by the interleaving method with adaptive period. For solving the waiting and delay caused by the fixed polling cycle, it is necessary to analyze and forecast the traffic of the ONU. In order to reduce the delay, an algorithm for predicting the arrival time and period duration of a single EPON cycle data frame by using the least mean square polynomial and the least mean square adaptive filtering method is proposed. Using the analysis of the frame arrival time and the next cycle duration, calculate the amount of data accumulated in the next cycle, and then allocate the corresponding bandwidth and transmission cycle. Simulation results show that the algorithm can adapt to different load and traffic burst networks, which can effectively reduce the network delay.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
