With the access distance of users increasing in hybrid Time and Wavelength Division Multiplexing Passive Optical Networks (TWDM-PONs), the round trip time becomes very long, and idle time is increased in the network. It leads to the problem of bandwidth waste. In order to solve this issue, an efficient and hybrid dynamic resource allocation strategy with Grey Prediction (GP) is proposed. In order to decrease the network delay performance and avoid the waste of resource, the Grey Prediction model is utilized to predict the arrival data during the idle time and dynamically allocate bandwidth to optical network units. Utilizing the finishing time difference of data transmission on wavelengths, the higher transmission efficiency and load balance of wavelengths can be achieved by constantly adjusting the mode of wavelengths transmission periodically. The simulation results show that the proposed hybrid strategy can effectively eliminate the idle time to avoid waste of bandwidth and reduce network delay while making wavelengths efficiently used to improve resource utilization rate.
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