Bayesian estimation and prediction-based dynamic bandwidth allocation algorithm for sleep/doze-mode passive optical networks

Abstract

In this paper, we propose a new Bayesian estimation and prediction-based Just-In-Time dynamic bandwidth allocation algorithm. The algorithm exploits the sleep and doze capabilities of a 10-Gbps vertical-cavity surface-emitting laser optical network unit (ONU) for improved energy-efficiency across all network loads. The main objectives of the proposed algorithm are to: (a) effectively estimate the average interarrival time of packets for sleep and doze control; (b) transition the ONUs from sleep or doze modes into active mode Just-In-Time to receive packets from the optical line terminal (OLT); and (c) minimize the additional queuing delays introduced by the sleep- and doze-mode operations. T..