Traffic aware cyclic sleep‐based power consumption model for a passive optical network

Abstract

For a network, a power consumption model is an important tool to test the performance of a network process for different traffic loads. In a Passive optical network (PON), the optical network unit (ONU) is responsible for the major power consumption of PON. Both IEEE and ITU have standardized a cyclic sleep process (CSP) for ONU energy conservation. In next-generation PON; TWDM and XGS PON, the ONU power contribution has increased further due to higher number of ONUs and ONU being tunable. Therefore, an accurate power consumption model of the CSP process for energy efficiency studies under different traffic conditions is of prime importance. The existing CSP power consumption models do not depict the CSP process accurately especially the inactivity of the ONU in the asleep and sleep aware states are not taken into account which reduce the accuracy of the model. The proposed inactivity aware model (IAM) overcomes these gaps and very accurately models the CSP process, as evident from the results, which are better than earlier model results and quite close to earlier published simulation results. The model is also validated through a simulation-based study and the simulation results are observed to be very close to the model results with only a 5% deviation.

Energy-Efficient Sleep-Aware Slicing-Based Scheduler (SA-SBS) for Multi-Operators Virtualized Passive Optical Networks

“…While these earlier works have addressed essential aspects of bandwidth allocation and network performance, they have not considered the crucial energy conservation factor, which is becoming increasingly important today. Previous studies have neglected the energysaving processes recommended by ITU-T, such as the cyclic sleep process (CSP), the cyclic doze mode (CDM), and the watchful sleep mode (WSM) [34], [35], [36]. This knowledge gap highlights the need for new research incorporating these energy-saving processes into the design of network scheduling mechanisms.…”

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