The cross layer RMPA handover: a reliable mobility pattern aware handover strategy for broadband wireless communication in a high-speed railway domain

Enhancing the handover process in broadband wireless communication deployment has traditionally motivated many research initiatives. In a high-speed railway domain, the challenge is even greater. Owing to the long distances covered, the mobile node gets involved in a compulsory sequence of handover processes. Consequently, poor performance during the execution of these handover processes significantly degrades the global end-to-end performance. This article proposes a new handover strategy for the railway domain: the RMPA handover, a Reliable Mobility Pattern Aware IEEE 802.16 handover strategy "customized" for a high-speed mobility scenario. The stringent high mobility feature is balanced with three other positive features in a high-speed context: mobility pattern awareness, different sources for location discovery techniques, and a previously known traffic data profile. To the best of the authors' knowledge, there is no IEEE 802.16 handover scheme that simultaneously covers the optimization of the handover process itself and the efficient timing of the handover process. Our strategy covers both areas of research while providing a cost-effective and standards-based solution. To schedule the handover process efficiently, the RMPA strategy makes use of a context aware handover policy; that is, a handover policy based on the mobile node mobility pattern, the time required to perform the handover, the neighboring network conditions, the data traffic profile, the received power signal, and current location and speed information of the train. Our proposal merges all these variables in a cross layer interaction in the handover policy engine. It also enhances the handover process itself by establishing the values for the set of handover configuration parameters and mechanisms of the handover process. RMPA is a cost-effective strategy because compatibility with standards-based equipment is guaranteed. The major contributions of the RMPA handover are in areas that have been left open to the handover designer's discretion. Our simulation analysis validates the RMPA handover decision rules and design choices. Our results supporting a high-demand video application in the uplink stream show a significant improvement in the end-to-end quality of service parameters, including end-to-end delay (22%) and jitter (80%), when compared with a policy based on signal-to-noise-ratio information.

Extracción de servicios TS en receptor profesional de DVB-T2.

[Es]Este documento explica el procedimiento seguido para desarrollar la última etapa de un decodificador de DVB-T2, que consiste en la extracción de un archivo de vídeo desde un archivo binario resultante del resto del decodificador. Este decodificador se trata del software de un receptor desarrollado por el departamento de TSR (Tratamiento de Señal y Radiocomunicaciones) de la Escuela de Ingenieros de Bilbao en el año 2010. Dicho software es capaz de analizar la señal recibida de DVB-T2 para calcular la tasa de errores y conocer otros parámetros relevantes como el tipo de modulación utilizado. No obstante, para analizar de manera subjetiva las mejoras de DVB-T2 e incluso para determinar de qué manera afectan los errores a la calidad de la imagen es necesario visualizar el video transmitido. Por esta razón se ha comenzado un proyecto en el que el objetivo es programar un nuevo software que proporcione un archivo que contenga el video en cuestión. Este software se ha programado en lenguaje del programa Matlab, y toma el fichero resultante del receptor como entrada, para procesarlo y obtener uno nuevo con el vídeo. De modo que una vez programado y probado para su corrección, se aplica a continuación del receptor del departamento TSR. Una vez obtenido el vídeo es posible comparar la calidad de la imagen con diferentes tasas de error en la comunicación, simulando transmisiones en diferentes ámbitos cada uno con su correspondiente ruido. De esta manera, se estima con muy alta precisión el comportamiento de una transmisión real dependiendo de la climatología y otros factores que afecten a la relación señal a ruido.

Analysis of multivariate stochastic signals sampled by on-line particle analyzers: Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS)

In multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzers in industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed