A Nonlinear-Predictive QoS-Promoted Dynamic Bandwidth Allocation Scheme for Triple-play Services in Ethernet Passive Optical Networks

Abstract

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.