A Dynamic Resource Allocation based on Network Traffic Prediction for Sliced Passive Optical Network

Xuanqiao Liang, Qinghua Tian*, Fu Wang, Wensheng Yu, Xiangjun Xin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

As the rapid development of the Industries Internet of Things (IIoT), the access network characters with massive connections, deterministic latency and large bandwidth. Therefore, the existing time-division-multiplexing Passive Optical Network (TDM-PON) technology needs to evolve from the original bandwidth scheduling pattern into the cooperative scheduling with multi-network slices (NS). Meanwhile, supporting IIoT and Mobile Fronthaul (MFH) in the TDM-PON via fixed network slicing is challenging, as MFH services may generate microburst traffic, thus impacting the performance of IIoT applications. In view of this, we propose a resource allocation scheme using LSTM neural network to predict traffic in an SDN-based TDM-PON. Our approach considers a network slicing architecture that meets the diverse requirement for both MFH and IIoT services. The results show that our algorithm can reduce the MFH slice latency by 23.3% compared with the typical method (load of 0.8).

Original languageEnglish
Title of host publication2021 19th International Conference on Optical Communications and Networks, ICOCN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665424462
DOIs
Publication statusPublished - 2021
Event19th International Conference on Optical Communications and Networks, ICOCN 2021 - Qufu, China
Duration: 23 Aug 202127 Aug 2021

Publication series

Name2021 19th International Conference on Optical Communications and Networks, ICOCN 2021

Conference

Conference19th International Conference on Optical Communications and Networks, ICOCN 2021
Country/TerritoryChina
CityQufu
Period23/08/2127/08/21

Keywords

  • Network Slicing
  • Network traffic prediction
  • Resource allocation
  • TDM-PON

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