• A data-driven scheduler model for QoE assessment in a LTE radio network planning tool 

      Sánchez Ordoñez, Pablo; Luna-Ramírez, Salvador; Gijón, Carolina; Toril-Genoves, Matias; Bejarano-Luque, Juan Luis (2019-11-19)
      The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator ...
    • Estimación de la capacidad en redes LTE mediante aprendizaje supervisado 

      Gijón, Carolina; Toril-Genoves, Matias; Luna-Ramírez, Salvador; Bejarano-Luque, Juan Luis; Marí-Altozano, María Luisa (2020-09-04)
      Network dimensioning is a critical task for cellular operators to avoid degraded user experience and unnecessary upgrades of network resources with changing mobile traffic patterns. For this purpose, smart network planning ...
    • Evaluación de modelos de deep-learning para series temporales de tráfico horario en redes celulares. 

      Bejarano-Luque, Juan Luis; Toril-Genoves, Matias; Fernández-Navarro, Mariano; Gijón, Carolina; Luna-Ramírez, Salvador (2021-09)
      El alto dinamismo de las redes celulares actuales hace que predecir las futuras fluctuaciones del tráfico sea una tarea increíblemente ardua tarea. La previsión del tráfico con una alta resolución temporal (es decir horas) ...
    • Filtrado de trazas MDT de alta movilidad mediante aprendizaje supervisado 

      Toril-Genoves, Matias; Gijón, Carolina; Bejarano-Luque, Juan Luis; Luna-Ramírez, Salvador; Sánchez-Martín, Joaquín (2022-09)
      In beyond 5G networks, geolocated radio information will play a fundamental role to drive self-management algorithms in a zero-touch paradigm. Minimization of Drive Test (MDT) functionality provides operators with geolocated ...
    • GPPP y SDR como una potente herramienta científica 

      Baena González, José Carlos; Fortes-Rodriguez, Sergio; Baena-Martinez, Eduardo; Bejarano-Luque, Juan Luis; Tranle, Mai; [et al.] (2020-10-02)
      One of the greatest problems in mobile networks that researchers have always faced on, is the difficulty of obtaining data from a real network. The limited access to commercial networks or the high prices which presents ...
    • Herramienta de planificación radio para evaluar la calidad de experiencia en redes móviles 

      Bejarano-Luque, Juan Luis; Cantón Padilla, Juan Francisco; Toril-Genoves, Matias; Luna-Ramírez, Salvador; Sánchez Ordóñez, Pablo Antonio (2018-09-14)
      The use of system-level simulators to estimate the impact of self-planning and self-optimization algorithms is a common practice for cellular operators. In this paper, a modification of a static Long Term Evolution (LTE) ...
    • Modelado de rendimiento de segmento en redes de acceso radio mediante aprendizaje supervisado 

      Gijón, Carolina; Toril-Genoves, Matias; Luna-Ramírez, Salvador; Bejarano-Luque, Juan Luis (2022-09)
      In 5G systems, the Network Slicing (NS) feature allows to deploy several logical networks customized for specific verticals over a common physical infrastructure. In the Radio Access Network (RAN), cellular operators need ...
    • Obtención de intervalos de confianza en redes neuronales para predicción en redes celulares 

      Bejarano-Luque, Juan Luis; Toril-Genoves, Matias; Gijón, Carolina; Luna-Ramírez, Salvador; Durán-Martínez, Álvaro (2022-09)
      Hoy en día, las redes celulares presentan una complejidad extrema y un alto grado de dinamismo, lo que hace que predecir las fluctuaciones en el rendimiento de la red sea una tarea extremadamente difícil. Gracias a ...
    • Statistical model for mobile user positioning based on social information. 

      Bejarano-Luque, Juan Luis; Toril-Genoves, Matias; Fernández-Navarro, Mariano; Jiménez, Luis Roberto; Luna-Ramírez, Salvador (2021-09)
      In spite of the vast set of measurements provided by current mobile networks, cellular operators have problems to pinpoint problematic locations because the origin of such measurements (i.e., user location) is usually not ...