Listar por autor "De la Bandera Cascales, Isabel"
Mostrando ítems 1-20 de 33
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5G for construction: use cases and solutions
Mendoza, Jessica; De la Bandera Cascales, Isabel; Álvarez-Merino, Carlos Simón; Khatib, Emil Jatib; Alonso, Jesús; Casadelrrey-Díaz, S.; Barco-Moreno, Raquel
[et al.] (MDPI, 2021)
The world is currently undergoing a new industrial revolution characterized by the digitization and automation of industry through the use of Information and Communication Technologies (ICT). The construction sector is ... -
5G networks automatic performance improvement
(UMA Editorial, 2023-03-16)La quinta generación (5G) de redes móviles se presenta como una tecnología habilitadora de esta transformación digital de la sociedad y la economía. El crecimiento exponencial de las redes hace que sus tareas de gestión ... -
Active Learning Methodology for Expert-Assisted Anomaly Detection in Mobile Communications
Trujillo, José Antonio; De la Bandera Cascales, Isabel; Burgueño Romero, Jesús; Palacios, David; Baena-Martínez, Eduardo (IOAP-MDPI, 2022-12-23)
Due to the great complexity, heterogeneity, and variety of services, anomaly detection is becoming an increasingly important challenge in the operation of new generations of mobile communications. In many cases, the ... -
Adaptive Cell Outage Compensation in Self-Organizing Networks.
De la Bandera Cascales, Isabel; Muñoz, Pablo; Serrano, Inmaculada; Barco-Moreno, Raquel (IEEE, 2018-01-12)
Within Self-Organizing Networks (SON), the Cell Outage Compensation (COC) functionality is one of the most important use cases in Self-Healing in mobile communication networks. The state-of-the-art has proposed different ... -
Análisis de rendimiento de estrategias de asignación de recursos para servicios con tráficos a ráfagas.
Romero, Ana Rosa; De la Bandera Cascales, Isabel; Outes-Carnero, José; Mendo, Adriano; Ramiro, Juan; Barco-Moreno, Raquel[et al.] (2023)
The percentage of bursty traffic in the network is currently increasing. To avoid problems derived from this, such as occasional overloads in the network or inefficiency in the allocation of resources, the role of the ... -
Aplicación de la tecnología 5G a entornos de emergencias mediante el uso de Network Slicing.
En una situación de emergencias, la red debe ser capaz de proporcionar diversos servicios con requisitos de calidad diferentes. La categoría de servicio URLLC proporcionará servicios de mínima latencia, mientras que eMBB ... -
Automatic Feature Selection Technique for Next Generation Self-Organizing Networks
Palacios, David; De la Bandera Cascales, Isabel; Gómez-Andrades, Ana; Flores, Lydia; Barco-Moreno, Raquel (IEEE, 2018)
Despite self-organizing networks (SONs) pursue the automation of management tasks in current cellular networks, the selection of the most useful performance indicators (PIs), used as inputs for SON functions, is still ... -
Autonomous monitoring framework for cellular networks
Trujillo, José Antonio; De la Bandera Cascales, Isabel; Burgueño Romero, Jesús; Palacios, David; Barco-Moreno, Raquel (2022-07)
The arrival of a new generation of mobile networks as 5G (5th Generation), brings with it greater complexity in the management of the network due to new services and scenarios. In this context, SON (Self-Organizing Networks) ... -
Detection and compensation methods for self-healing in self-organizing networks
(UMA Editorial, 2017)Uno de los elementos clave en la definición de los recientes estándares de comunicaciones móviles del 3rd Generation Partnership Project (3GPP), LTE (Long Term Evolution) y LTEAdvanced, es la consideración de funciones ... -
Diagnosis automática con 5G para entornos de emergencia
Emergency communications are a fundamental aspect for any community, becoming more necessary year after year. This fact, together with the continuous advance of mobile network technologies, enables increasingly more reliable ... -
Distributed deep reinforcement learning resource allocation scheme for industry 4.0 Device-To-Device scenarios
Burgueño Romero, Jesús; Adeogun, Ramoni; Liborius Bruun, Rasmus; Morejón García, C. Santiago; De la Bandera Cascales, Isabel; Barco-Moreno, Raquel[et al.] (2021)
This paper proposes a distributed deep reinforcement learning (DRL) methodology for autonomous mobile robots (AMRs) to manage radio resources in an indoor factory with no network infrastructure. Hence, deep neural networks ... -
Federated deep reinforcement Learning for ENDC optimization
Martin, Adrian; De la Bandera Cascales, Isabel; Mendo, Adriano; Outes, Jose; Ramiro, Juan; Barco-Moreno, Raquel[et al.] (IEEE, 2025-05-07)
5G New Radio (NR) network deployment in Non-Stand Alone (NSA) mode means that 5G networks rely on the control plane of existing Long Term Evolution (LTE) modules for control functions, while 5G modules are only dedicated ... -
Gestión de la activación de celdas secundarias en un escenario Dual Connectivity entre 4G y 5G
Gómez Belmonte, José María; De la Bandera Cascales, Isabel; Outes, José; Mendo, Adriano; Ramiro, Juan; Barco-Moreno, Raquel[et al.] (2021-09)
A major roll-out of 5G networks is currently underway around the world. In the first instance, users will connect to the 5G network in a non stand-alone mode. This paper presents a study on the optimization of the event ... -
Impacto de la configuración de parámetros de antena en un escenario de multiconectividad
De la Bandera Cascales, Isabel; Toril-Genovés, Matías; Pastor Guerrero, Carmen; Barco-Moreno, Raquel (2021-09-20)
New mobile network generation has brought a significant increase in the complexity of the management tasks due to the variety and heterogeneity of services and scenarios. In this new context, network optimization in terms ... -
Improving Cell Outage Management Through Data Analysis
De la Bandera Cascales, Isabel; Muñoz, Pablo; Serrano, Inmaculada; Barco-Moreno, Raquel (IEEE, 2017-02-13)
Self-Organizing Networks (SON) is an important feature for network management automation in the new generation of mobile communications. While SON have been considered as part of the recent 3rd Generation Partnership ... -
Methodology for the Design and Evaluation of Self-Healing LTE Networks.
Gómez-Andrades, Ana; Muñoz, Pablo; Khatib, Emil Jatib; De la Bandera Cascales, Isabel; Serrano, Inmaculada; Barco-Moreno, Raquel[et al.] (IEEE, 2015)
Self-healing networks aim to detect cells with service degradation, identify the fault cause of their problem, and execute compensation and repair actions. The development of this type of automatic system presents several ... -
Método de posicionamiento de drones LTE-5G para compensación de fallos en situaciones de emergencia
Romero, Ana Rosa; Burgueño Romero, Jesús; De la Bandera Cascales, Isabel; Barco-Moreno, Raquel (2022-09)
The failures resulting from cells outages or the partial loss of communications infrastructures make it impossible to serve users in the affected area. Such services would allow them to establish communication in order to ... -
Metodología de monitorización autónoma de redes móviles
Trujillo Saborido, José Antonio; De la Bandera Cascales, Isabel; Burgueño Romero, Jesús; Palacios, David; Barco-Moreno, Raquel (2021-09)
The fifth generation (5G) of mobile networks leads to novel services and heterogeneous scenarios that increase the complexity of management and orchestration tasks. In this context, Self-Organizing Networks (SON) are highly ... -
Modelado de TCP en un entorno celular con dual connectivity
Burgueño Romero, Jesús; Palacios, David; De la Bandera Cascales, Isabel; Barco-Moreno, Raquel (2018-10-03)
This paper proposes a TCP implementation in a system-level simulator. This LTE-Advanced simulator provides Dual Connectivity (DC), which allows user equipments (UEs) to receive data simultaneously from two evolved NodeBs ... -
Multinode component carrier management: multiconnectivity in 5G
De la Bandera Cascales, Isabel; Palacios, David; Barco-Moreno, Raquel (IEEE, 2021)
From its conception, 5G has been designed to support a wide variety of service types, ranging from enhanced mobile broadband (eMBB) to ultra-reliable low-latency communications (URLLC). To overcome the disparity of their ...