Browsing by Author "Fajardo Portillo, José Oscar"
Now showing items 1-9 of 9
-
A Robust Optimization Based Energy-Aware Virtual Network Function Placement Proposal for Small Cell 5G Networks with Mobile Edge Computing Capabilities
Blanco Jauregui, Begoña ; Taboada Puente, Ianire ; Fajardo Portillo, José Oscar; Liberal Malaina, Fidel (Hindawi, 2017)In the context of cloud-enabled 5G radio access networks with network function virtualization capabilities, we focus on the virtual network function placement problem for a multitenant cluster of small cells that provide ... -
Analysis of channel quality reporting mechanisms and their impact into 4G and beyond technologies
Fajardo Portillo, José Oscar (Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2016-01-14)Modern broadband mobile networks such as 4G LTE are designed to cope with stringent performance levels, i.e. considerable peak data rates and low latencies. With the wide-spreading of LTE networks all over the world, the ... -
Dealing with Energy-QoE Trade-Offs in Mobile Video
Liberal Malaina, Fidel; Taboada Puente, Ianire ; Fajardo Portillo, José Oscar (Hindawi Publishing Corporation, 2013)Scalable video coding allows an efficient provision of video services at different quality levels with different energy demands. According to the specific type of service and network scenario, end users and/or operators ... -
Improving Content Delivery Efficiency through Multi-Layer Mobile Edge Adaptation
This paper presents a novel architecture for optimizing the HTTP-based multimedia delivery in multi-user mobile networks. This proposal combines the usual client-driven dynamic adaptation scheme DASH-3GPP with network-assisted ... -
Introducing mobile edge computing capabilities through distributed 5G Cloud Enabled Small Cells
Fajardo Portillo, José Oscar; Liberal Malaina, Fidel; Giannoulakis, Ioannis; Kafetzakis, Emmanouil; Pii, Vincenzo; Trajkovska, Irena; Bohnert, Thomas Michael; Goratti, Leonardo; Riggio, Roberto; García Lloreda, Javier; Khodashenas, Pouria Sayyad; Paolino, Michele; Bliznakov, Pavel; Perez-Romero, Jordi; Meani, Claudio; Chochliouros, Ioannis; Belesioti, Maria (2016)Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing ... -
QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV
Peng, Shuping; Fajardo Portillo, José Oscar; Khodashenas, Pouria Sayyad; Blanco Jauregui, Begoña ; Liberal Malaina, Fidel; Ruiz, Cristina; Turyagyenda, Charles; Wilson, Mick; Vadgama, Sunil (Hindawi, 2017)5G envisages a "hyperconnected society" where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as ... -
Radio-aware service-level scheduling to minimize downlink traffic delay through Mobile Edge Computing
One of the most challenging problems in mobile broadband networks is how to assign the available radio resources among the different mobile users. Traditionally, research proposals are either speci c to some type of traffic ... -
System architecture and deployment scenarios for SESAME: Small cEllS coordinAtion for Multi-tenancy and Edge services
Giannoulakis, Ioannis; Xylouris, George; Kafetzakis, Emmanouil; Kourtis, Anastasios; Fajardo Portillo, José Oscar; Khodashenas, Pouria Sayyad; Albanese, Antonino; Mouratidis, Haralambos (2016-05-17)The surge of the Internet traffic with exabytes of data flowing over operators mobile networks has created the need to rethink the paradigms behind the design of the mobile network architecture. The inadequacy of the 4G ... -
Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks
Khan, Asiya; Sun, Lingfen; Ifeachor, Emmanuel; Fajardo Portillo, José Oscar; Liberal Malaina, Fidel (Hindawi Publishing Corporation, 2010)The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over ...