Self-Healing in LTE networks with unsupervised learning techniques

Javad Rahmani, Abolfazl Sadeqi and Dennis Nii Ayeh Mensah

MPRA Paper from University Library of Munich, Germany

Abstract: Recently the cellular networks are getting more complex in maintenance and network management, and rapidly growing in the number of users so that repairing and maintenance of the system are becoming more challenging and expensive. To solve the problems and maintain the system, operators depend on their experience but by increasing in type and density of the networks, this way will not operate as before. So Self-organizing network (SON) has been used in this study to solve these issues.

Keywords: Self-healing; SVM; ADABOOST; Fuzzy; Adaptive Root Cause Analysis (search for similar items in EconPapers)
JEL-codes: L63 O31 Q26 (search for similar items in EconPapers)
Date: 2020-03-24, Revised 2020-02-21
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Computational Research Progress in Applied Science & Engineering 01.06(2020): pp. 40-45

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:99770

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