Name
Affiliation
Papers
RAQUEL BARCO
Departamento Ingeniería de Comunicaciones, University of Málaga, E.T.S.I. Telecomunicación, Campus Universitario de Teatinos s/n, E-29071 Málaga, Spain
76
Collaborators
Citations 
PageRank 
140
364
41.12
Referers 
Referees 
References 
749
1943
839
Search Limit
1001000
Title
Citations
PageRank
Year
Radio Frequency Footprint Characterization Based on Mobility Indicators00.342021
Anomaly detection and analysis framework for mobile networks00.342021
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning40.602021
A Framework to boost the potential of network-in-a-box solutions00.342021
Method for Artificial KPI Generation With Realistic Time-Dependent Behaviour00.342021
An Enhanced Symmetric-Key Based 5g-Aka Protocol10.372021
Location-Based Analytics in 5G and Beyond30.412021
Estimation of Video Streaming KQIs for Radio Access Negotiation in Network Slicing Scenarios00.342020
On the Capability of QoE Improvement Based on the Adjustment of RLC Parameters.00.342020
Online Anomaly Detection System For Mobile Networks10.352020
Feature Extraction For Dimensionality Reduction In Cellular Networks Performance Analysis10.362020
Transform-Based Multiresolution Decomposition for Degradation Detection in Cellular Networks.00.342020
Traffic Monitoring via Mobile Device Location.00.342019
Modeling the UE-perceived cellular network performance following a controller-based approach00.342019
Swapped Sectors Detection Based On User Location During Inter-Site Handovers00.342019
5G Component Carrier Management Evaluation by Means of System Level Simulations00.342019
The Campus as a Smart City: University of Málaga Environmental, Learning, and Research Approaches.20.802019
Edge Sectors Detection in Mobile Communications Networks00.342019
Modeling of Key Quality Indicators for End-to-End Network Management: Preparing for 5G10.352019
Greenfield Design in 5G FWA Networks10.362019
Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction.30.412018
Automatic Feature Selection Technique for Next Generation Self-Organizing Networks.10.372018
Swapped Sectors Detection Based on Mobility Statistics.00.342018
Applying Social Event Data for the Management of Cellular Networks.00.342018
Modelling LTE Solved Troubleshooting Cases.00.342018
Swapped Sectors Detection on Multi-Layer Networks.00.342018
Dynamic Multipath Connection for Low-Latency Vehicle- to-Everything (V2X) Communications00.342018
Adaptive Cell Outage Compensation in Self-Organizing Networks.10.392018
A method for identifying faulty cells using a classification tree-based UE diagnosis in LTE.10.352017
A Low-Complexity Vision-Based System for Real-Time Traffic Monitoring.60.512017
Root Cause Analysis Based on Temporal Analysis of Metrics Toward Self-Organizing 5G Networks.20.452017
Improving Cell Outage Management Through Data Analysis.20.392017
Data Analytics for Diagnosing the RF Condition in Self-Organizing Networks.50.392017
Unsupervised Technique for Automatic Selection of Performance Indicators in Self-Organizing Networks.00.342017
Knowledge Acquisition for Fault Management in LTE Networks.40.422017
Degradation Detection Algorithm for LTE Root Cause Analysis.10.362017
Improving load balancing techniques by location awareness at indoor femtocell networks.00.342016
Fault compensation algorithm based on handover margins in LTE networks.00.342016
Location-based distributed sleeping cell detection and root cause analysis for 5G ultra-dense networks.10.352016
Automatic root cause analysis based on traces for LTE self-organizing networks.60.512016
Correlation-based time-series analysis for cell degradation detection in SON10.352016
Combination of multiple diagnosis systems in Self-Healing networks.10.392016
Methodology for the Design and Evaluation of Self-Healing LTE Networks.20.372016
A method of assessment of LTE coverage holes.10.442016
Context-Aware Self-Healing: User Equipment as the Main Source of Information for Small-Cell Indoor Networks00.342016
Self-healing in mobile networks with big data90.542016
Unsupervised Performance Functions for Wireless Self-Organising Networks.00.342016
Context-Aware Self-Optimization: Evolution Based on the Use Case of Load Balancing in Small-Cell Networks00.342016
Unsupervised System For Diagnosis In Lte Networks Using Bayesian Networks20.392015
Contextualized indicators for online failure diagnosis in cellular networks10.362015
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