GPON PLOAMd Message Analysis Using Supervised Neural Networks

Applied Sciences

卷:10

Vaclav Oujezsky¹  Tomas Horvath¹  Petr Munster¹  Martin Holik¹  Adrian Tomasov¹ 

[1] Department of Telecommunication, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic;

关键词: GPON;    GRU;    LSTM;    machine learning;    neural network;    RNN;   

DOI  :  10.3390/app10228139

来源: DOAJ

【 摘 要 】

This paper discusses the possibility of analyzing the orchestration protocol used in gigabit-capable passive optical networks (GPONs). Considering the fact that a GPON is defined by the International Telecommunication Union Telecommunication sector (ITU-T) as a set of recommendations, implementation across device vendors might exhibit few differences, which complicates analysis of such protocols. Therefore, machine learning techniques are used (e.g., neural networks) to evaluate differences in GPONs among various device vendors. As a result, this paper compares three neural network models based on different types of recurrent cells and discusses their suitability for such analysis.

【 授权许可】

Unknown