Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Salvador Luna-Ramírez"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2017, Iss 1, Pp 1-12 (2017)
Abstract For cellular operators, estimating the end-user experience from network measurements is a challenging task. For video-streaming service, several analytical models have been proposed to estimate user opinion from buffering metrics. However, t
Externí odkaz:
https://doaj.org/article/c6469ab6cbe848bbbe5cb01af1c03a8f
Autor:
Isabel de-la-Bandera, Matías Toril, Salvador Luna-Ramírez, Víctor Buenestado, José María Ruiz-Avilés
Publikováno v:
Sensors, Vol 20, Iss 7, p 1937 (2020)
In a cellular network, signaling and data messages exchanged between network elements are an extremely valuable information for network optimization. The consideration of different types of information allows to improve the optimization results. Howe
Externí odkaz:
https://doaj.org/article/0e189603fcbd441581a3d3960b6d445d
Autor:
Marta Solera, Salvador Luna-Ramírez, Luis Roberto Jimenez, Juan L. Bejarano-Luque, Matías Toril
Publikováno v:
IEEE Access. 9:123245-123259
Live video streaming services are gaining momentum as network and terminal capabilities improve. However, 360° live video streaming services pose new challenges due to its high bandwidth and computational requirements both on the user and service pr
Autor:
Volker Wille, Mariano Fernández-Navarro, Matías Toril, Fernando Ruiz-Vega, Salvador Luna-Ramírez
Publikováno v:
IEEE Access, Vol 9, Pp 33120-33131 (2021)
Road coverage will be a key issue for the success of connected car applications. In this work, a comprehensive analysis of radio signal strength fluctuations on roads in a Long Term Evolution (LTE) system is presented. For this purpose, a measurement
Autor:
Carolina Gijón, María Luisa Marí-Altozano, Juan L. Bejarano-Luque, Matías Toril, Salvador Luna-Ramírez
Publikováno v:
IEEE Transactions on Network and Service Management. 17:2090-2101
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 tools require accurate cell
Publikováno v:
IEEE Access, Vol 8, Pp 167252-167263 (2020)
Traffic classification will be a key aspect in the operation of future 5G cellular networks, where services of very different nature will coexist. Unfortunately, data encryption makes this task very difficult. To overcome this issue, flow-based schem
Publikováno v:
IEEE Access, Vol 8, Pp 197005-197016 (2020)
In future mobile communications systems, network management procedures must be upgraded to consider user quality of experience (QoE) to deal with service diversity. In this work, a computationally efficient centralized method for determining the best
Autor:
Luis Roberto Jimenez, Matías Toril, Mariano Fernández-Navarro, Juan L. Bejarano-Luque, Salvador Luna-Ramírez
Publikováno v:
Electronics
Volume 10
Issue 15
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Electronics, Vol 10, Iss 1782, p 1782 (2021)
Volume 10
Issue 15
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Electronics, Vol 10, Iss 1782, p 1782 (2021)
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 registered. At the same time
Publikováno v:
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
instname
Due to the diversity of mobile services and raising user expectations, mobile network management has changed its focus from Quality of Service (QoS) to Quality of Experience (QoE). As a consequence, classical network optimization procedures must be u
Publikováno v:
IEEE Transactions on Vehicular Technology. 68:9414-9424
Multi-tier cellular networks are a cost-effective solution for capacity enhancement in urban scenarios. In these networks, effective mobility strategies are required to assign users to the most adequate layer. In this paper, a data-driven self-tuning