RT Journal Article
T1 Improving Cell Outage Management Through Data Analysis
A1 De la Bandera Cascales, Isabel
A1 Muñoz, Pablo
A1 Serrano, Inmaculada
A1 Barco-Moreno, Raquel
K1 Redes de banda ancha
AB Self-Organizing Networks (SON) is an important feature for network management automationin the new generation of mobile communications. While SON have been consideredas part of the recent 3rd Generation Partnership Project (3GPP) standards suchas Long Term Evolution (LTE), it is expected that next 5th Generation (5G) mobile networkspresent new challenges for SON solutions. One of the most important use casesin Self-Healing is Cell Outage Compensation (COC). This paper proposes an importantimprovement of COC function based on analyzing large real data sets from live networks inorder to adapt compensation to the real neighboring context. First, two methods (offlineand online) to classify outages depending on the degraded metrics in neighboring cells areproposed and results for a set of cell outages occurred in a live LTE network are presented.Second, a method for estimating the lost traffic due to cell outages is proposed in orderto quantify the load that cannot be intrinsically absorbed by neighboring cells. Finally, anovel COC methodology is proposed by taking into account the results obtained in the twoprevious studies.
PB IEEE
YR 2017
FD 2017-02-13
LK https://hdl.handle.net/10630/30160
UL https://hdl.handle.net/10630/30160
LA eng
NO De La Bandera-Cascales, Isabel; Muñoz-Luengo, Pablo; Serrano, Inmaculada; Barco-Moreno, Raquel. 2017. Improving Cell Outage Management Through Data Analysis, IEEE Wireless Communications Magazine. 24-4, pp.113-119.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026