Patricia Noriega-Vivas | Universidad Carlos III de Madrid (original) (raw)

Patricia  Noriega-Vivas

Related Authors

Nuno Garrido

Nuno Garrido

ISCTE - University Institute of Lisbon (ISCTE-IUL)

David Seamon

Justinus Andjarwirawan

Romain Rouvoy

Romain Rouvoy

Université des Sciences et Technologies de Lille (Lille-1)

George Karetsos

Fatiha  Djemili Tolba

Lahbib  Zenkouar

Mohd Amiruddin  Abd Rahman

Journal of Computer Science IJCSIS

Ashok Paranjothi

Uploads

Papers by Patricia Noriega-Vivas

Research paper thumbnail of Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

Abstract: Predicting users' next location allows to anticipate their future context, thus providi... more Abstract: Predicting users' next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices.

Research paper thumbnail of Analysis of location prediction performance of LZ algorithms using GSM Cell-based location data

Predictions about users' next locations allow bringing forward their future context, thus having ... more Predictions about users' next locations allow bringing forward their future context, thus having additional time to react. To make such predictions, algorithms capable of learning mobility patterns and estimating the next location are needed. This work is focused on making the predictions on mobile terminals, thus resource consumption being an important constraint. Among the predictors with low resource consumption, the family of LZ algorithms has been chosen to study their performance, analyzing the results drawn from processing location records of 95 users. The main contribution is to divide the algorithms into two phases, thus being possible to use the best combination to obtain better prediction accuracy or lower resource consumption.

Research paper thumbnail of MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins

Nowadays the quality of the indoor coverage on trains is not enough to offer broadband services, ... more Nowadays the quality of the indoor coverage on trains is not enough to offer broadband services, mainly due to two factors: the high penetration losses caused by Faraday cage characteristics of the railcars and the high speeds reached. In this paper we aim to enhance the 3G indoor coverage on trains by setting up femtocells inside the railcars and establishing several wireless interfaces along the roof of the train. We design an architecture to connect the train to the fixed network in a transparent manner, so that the end users do not experience service disruptions during the journey. Finally, we deploy a testbed to evaluate the performance of the mobility management system based on test results.

Research paper thumbnail of Supporting L3 Femtocell Mobility Using the MOBIKE Protocol

ACCESS 2011, The …, Jan 1, 2011

Femtocells can be used to improve the indoor coverage and bandwidth of 3G cellular networks in ho... more Femtocells can be used to improve the indoor coverage and bandwidth of 3G cellular networks in homes and buildings. They are designed to be placed in a fixed location. However, their use would also be interesting in mobile environments such as public transportation systems. This paper studies the mobility limitations at the layer 3 and suggests an approach to support mobility on femtocell networks. This solution employs the protocols already defined in the femtocell architecture, minimizing thus the impact on it.

Research paper thumbnail of Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

Abstract: Predicting users' next location allows to anticipate their future context, thus providi... more Abstract: Predicting users' next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices.

Research paper thumbnail of Analysis of location prediction performance of LZ algorithms using GSM Cell-based location data

Predictions about users' next locations allow bringing forward their future context, thus having ... more Predictions about users' next locations allow bringing forward their future context, thus having additional time to react. To make such predictions, algorithms capable of learning mobility patterns and estimating the next location are needed. This work is focused on making the predictions on mobile terminals, thus resource consumption being an important constraint. Among the predictors with low resource consumption, the family of LZ algorithms has been chosen to study their performance, analyzing the results drawn from processing location records of 95 users. The main contribution is to divide the algorithms into two phases, thus being possible to use the best combination to obtain better prediction accuracy or lower resource consumption.

Research paper thumbnail of MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins

Nowadays the quality of the indoor coverage on trains is not enough to offer broadband services, ... more Nowadays the quality of the indoor coverage on trains is not enough to offer broadband services, mainly due to two factors: the high penetration losses caused by Faraday cage characteristics of the railcars and the high speeds reached. In this paper we aim to enhance the 3G indoor coverage on trains by setting up femtocells inside the railcars and establishing several wireless interfaces along the roof of the train. We design an architecture to connect the train to the fixed network in a transparent manner, so that the end users do not experience service disruptions during the journey. Finally, we deploy a testbed to evaluate the performance of the mobility management system based on test results.

Research paper thumbnail of Supporting L3 Femtocell Mobility Using the MOBIKE Protocol

ACCESS 2011, The …, Jan 1, 2011

Femtocells can be used to improve the indoor coverage and bandwidth of 3G cellular networks in ho... more Femtocells can be used to improve the indoor coverage and bandwidth of 3G cellular networks in homes and buildings. They are designed to be placed in a fixed location. However, their use would also be interesting in mobile environments such as public transportation systems. This paper studies the mobility limitations at the layer 3 and suggests an approach to support mobility on femtocell networks. This solution employs the protocols already defined in the femtocell architecture, minimizing thus the impact on it.

Log In