Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON

Kamran Ali Memon; Qi Zhang; Rizwan Aslam Butt; Khalid Hussain Mohammadani; Muhammad Faheem; Noor Ul Ain; Feng Tian; Xiangjun Xin

doi:10.1109/JPHOT.2019.2962498

Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON

Kamran Ali Memon^*, Qi Zhang, Rizwan Aslam Butt, Khalid Hussain Mohammadani, Muhammad Faheem, Noor Ul Ain, Feng Tian, Xiangjun Xin

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.

Original language	English
Article number	8944055
Journal	IEEE Photonics Journal
Volume	12
Issue number	1
DOIs	https://doi.org/10.1109/JPHOT.2019.2962498
Publication status	Published - Feb 2020
Externally published	Yes

Keywords

DWBA
ITU compliant
PLOAM
TWDM PON
US traffic delay
and bandwidth utilization.
load balancing
traffic-adaptive

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10.1109/JPHOT.2019.2962498

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abstract = "This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.",

keywords = "DWBA, ITU compliant, PLOAM, TWDM PON, US traffic delay, and bandwidth utilization., load balancing, traffic-adaptive",

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AU - Butt, Rizwan Aslam

AU - Mohammadani, Khalid Hussain

AU - Faheem, Muhammad

AU - Ul Ain, Noor

AU - Tian, Feng

AU - Xin, Xiangjun

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AB - This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.

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KW - ITU compliant

KW - PLOAM

KW - TWDM PON

KW - US traffic delay

KW - and bandwidth utilization.

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Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON

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Keywords

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