Ms. Yixin Sun Profile

Yixin Sun

at Beijing University of Posts And Telecommunications

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Proceedings Article | 10 January 2018 Paper

Two-dimensional priority-based dynamic resource allocation algorithm for QoS in WDM/TDM PON networks

Yixin Sun, Bo Liu, Lijia Zhang, Xiangjun Xin, Qi Zhang, Lan Rao

Proceedings Volume 10617, 106170N (2018) https://doi.org/10.1117/12.2295250

KEYWORDS: Computer simulations, Time division multiplexing, Wavelength division multiplexing, Network architectures, Data transmission, Telecommunications, Multiplexing, Passive optical networks, Optical networks, Systems modeling

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Wavelength division multiplexing/time division multiplexing (WDM/TDM) passive optical networks (PON) is being viewed as a promising solution for delivering multiple services and applications. The hybrid WDM / TDM PON uses the wavelength and bandwidth allocation strategy to control the distribution of the wavelength channels in the uplink direction, so that it can ensure the high bandwidth requirements of multiple Optical Network Units (ONUs) while improving the wavelength resource utilization. Through the investigation of the presented dynamic bandwidth allocation algorithms, these algorithms can’t satisfy the requirements of different levels of service very well while adapting to the structural characteristics of mixed WDM / TDM PON system. This paper introduces a novel wavelength and bandwidth allocation algorithm to efficiently utilize the bandwidth and support QoS (Quality of Service) guarantees in WDM/TDM PON. Two priority based polling subcycles are introduced in order to increase system efficiency and improve system performance. The fixed priority polling subcycle and dynamic priority polling subcycle follow different principles to implement wavelength and bandwidth allocation according to the priority of different levels of service. A simulation was conducted to study the performance of the priority based polling in dynamic resource allocation algorithm in WDM/TDM PON. The results show that the performance of delay-sensitive services is greatly improved without degrading QoS guarantees for other services. Compared with the traditional dynamic bandwidth allocation algorithms, this algorithm can meet bandwidth needs of different priority traffic class, achieve low loss rate performance, and ensure real-time of high priority traffic class in terms of overall traffic on the network.

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