Research output: Contribution to journal › Article
View graph of relations
Accurate prediction of traffic conditions on OFDMA-PONs is important because of its vital role in network resource management and efficient bandwidth allocation. Given the dynamic and stochastic nature of network traffic, our proposed algorithm conducts a probabilistic approach by using the Hidden Markov Model (HMM). The HMM defines traffic states with two parameters: the mean and contrast of the bandwidth request observations. Simulation results demonstrate the performance comparison between with and without the prediction method in terms of throughput and end-to-end delay. As a result, the throughput improves 15% and the saturation offered load of the delay for the prediction and non-prediction is 0.8 and 0.7, respectively.
This article has been accepted for publication in a future issue of IEEE Xplore Journal. W. Lim, P. Kourtessis, J.M. Senior, Y. Na, Y. Allawi, S. Jeon, and H. Chung, 'Dynamic bandwidth allocation for OFDMA-PONs using Hidden Markov Model', IEEE Explore, advance access publication 2 February 2017, doi: 10.1109/ACCESS.2017.2657549