Nonlinear adaptive prediction of speech with a pipelined recurrentneural network
IEEE Transactions on Signal Processing
Nonlinear adaptive prediction of nonstationary signals
IEEE Transactions on Signal Processing
IPACT a dynamic protocol for an Ethernet PON (EPON)
IEEE Communications Magazine
Bandwidth allocation for multiservice access on EPONs
IEEE Communications Magazine
Fuzzy/neural congestion control for integrated voice and data DS-CDMA/FRMA cellular networks
IEEE Journal on Selected Areas in Communications
A heuristic adaptive QoS prediction scheme in single-hop passive star coupled WDM optical networks
Journal of Network and Computer Applications
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This paper proposes a nonlinear-predictive QoS-promoted dynamic bandwidth allocation (NQ-DBA) scheme for upstream transmission in Ethernet passive optical network (EPON) systems. The proposed NQ-DBA scheme divides incoming packets of voice, video, data service into six priorities, whereas packets having less room before QoS requirements violation will be dynamically promoted to high priority. It predicts packets arriving at a prediction interval for ONUs using a nonlinear pipelined structure of recurrent neural network (RNN) with extended recursive least squares (ERLS) update so that the bandwidth allocation can be more up-to-date and then accurate. Simulation results show that the proposed NQ-DBA scheme achieves higher system utilization than the DBAM scheme by 4%, and 21%, 90%, 43%, respectively.