ZHU Xiang, LI Guo-yong, XU Ou. Multi-Wavelength Bandwidth Allocation Algorithm based on Prediction in 50 Gbit/s-EPON. [J]. Study on Optical Communications (5):24-30(2021)
DOI:
ZHU Xiang, LI Guo-yong, XU Ou. Multi-Wavelength Bandwidth Allocation Algorithm based on Prediction in 50 Gbit/s-EPON. [J]. Study on Optical Communications (5):24-30(2021) DOI: 10.13756/j.gtxyj.2021.05.003.
Multi-Wavelength Bandwidth Allocation Algorithm based on Prediction in 50 Gbit/s-EPON
According to the description of 50 Gbit/s-Ethernet Passive Optical Network (EPON) in IEEE 802.3ca new standard
multi-wavelength dynamic bandwidth allocation is needed in network uplink. In this paper
long short-term memory neural network is used to predict the network traffic in order to improve the efficiency of bandwidth allocation. At the same time
considering the different requirements of network delay and bandwidth for different types of services in the network
different allocation schemes are adopted for different priority services. The simulation results show that the neural network prediction method can effectively reduce the delay of the network. When different allocation schemes are adopted for different services
the latency of high-priority services decreases
and the latency varies with the increase of network load. The algorithm proposed in this paper meets the requirements of high-priority service. Although the latency of low-priority service is increased compared with the previous method
it has little impact on the overall service quality of the network considering that low-priority service does not have high latency requirements.
关键词
50 Gbit/s以太网无源光网络长短时记忆神经网络动态带宽分配网络服务质量
Keywords
50 Gbit/s-EPONlong short-term memory neural networkdynamic bandwidth allocationquality of service
references
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