Min Zhang, Bo Xu, Xiaoyun Li, Yi Cai, Baojian Wu, Kun Qiu. Traffic estimation based on long short-term memory neural network for mobile front-haul with XG-PON[J]. Chinese Optics Letters, 2019, 17(7): 070603
- Chinese Optics Letters
- Vol. 17, Issue 7, 070603 (2019)
Fig. 1. MFH architecture based on the XG-PON system.
Fig. 2. LSTM neural network architecture used in the proposed method.
Fig. 3. LSTM cell and its unfolding in time.
Fig. 4. Detailed structure of the LSTM cell memory block. The sigmoid function is denoted as
Fig. 5. MSE in the training process.
Fig. 6. Upstream delay performance comparison of RR-DBA, FNN-DBA, and LSTM-DBA.
Fig. 7. Upstream jitter performance comparison of RR-DBA, FNN-DBA, and LSTM-DBA.
Fig. 8. Upstream packet loss ratio performance comparison of RR-DBA, FNN-DBA, and LSTM-DBA.
Fig. 9. Upstream delay performance comparison of RR-DBA, FNN-DBA, LSTM-DBA, and FBA for one active ONU case.
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Table 1. Traffic Simulation Parameters
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Table 2. DBA Simulation Parameters
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