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Poor Data Throughput Root Cause Analysis in Mobile Networks Using Deep Neural Network PDF

6 Pages·2020·English
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by ['Redamichael Jemberu']| 2020| 6 pages| English

About Poor Data Throughput Root Cause Analysis in Mobile Networks Using Deep Neural Network

This document proposes using a deep neural network model to analyze the root causes of poor data throughput in mobile networks. It discusses using both radio and core network performance indicators as inputs to ensure end-to-end correlation. The model achieved a prediction accuracy of 98.9% and an area under the ROC curve of 99.87% on unseen data, identifying features importance for both global systems and individual subscribers. Deep learning techniques can help mobile networks better understand throughput issues and improve quality of experience.

Detailed Information

Author:['Redamichael Jemberu']
Publication Year:2020
Pages:6
Language:English
Format:PDF
Price:FREE
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