Grupo de investigación i2t, Universidad Icesi, Cali -Colombia ResumenLa dificultad de estimar con exactitud la influencia de los obstáculos, los edificios y el terreno en la pérdida de trayectoria de la señal hace que los modelos de propagación, generalmente utilizados para la planificación de redes inalámbricas externas, en entornos urbanos incluyan algunos elementos empíricos. Por lo tanto, la ecuación final generalmente contiene constantes y coeficientes para los diferentes términos, que se obtienen principalmente a partir del análisis estadístico de mediciones recolectadas durante actividades de drive test en grandes áreas de la ciudad. Desafortunadamente, estos resultados son realmente válidos únicamente para las áreas de la ciudad en las que se obtuvieron y, en el mejor de los casos, para áreas o ciudades similares. Sin embargo, si el nivel de similitud no es suficiente, es necesario realizar ajustes, un proceso que resulta en la formulación de nuevas constantes y nuevos coeficientes. El propósito de este artículo es discutir algunos de los hallazgos obtenidos durante el proceso de ajuste estadístico al escenario de la ciudad de Cali, de los modelos Okumura-Hata, Stanford University Interim (SUI) y Walfisch-Bertoni, usando mediciones. Palabras claveRadiocomunicaciones; modelos de propagación; calidad /confiabilidad de la comunicación; ajuste de modelos; escenario de referencia. AbstractPropagation models normally used to plan outdoor wireless networks on urban environment, tend to include a number of empirical elements. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equation usually contains constants, and coefficients for the different terms, mainly obtained by statistical analysis of measurement sets, collected during drive tests on large areas of the city. Unfortunately, such results are only truly valid for the city or parts of the city on which the measurements were taken. They may also be considered appropriate for similar areas or cities at the most. If the areas are not similar enough however, adjustments are necessary, resulting in the formulation of new constants and coefficients. The purpose of this paper is to discuss some of the findings during the process of statistically adjust the Okumura-Hata, Stanford University Interim (SUI) and Walfisch-Bertoni models to the Cali scenario, using measurements.
In this paper we present results from traditional propagation models like Hata and Walfish Bertoni, implemented in our planning tool, and compare it with results obtained from a commercial tool and also with measurements provided by a local operator. For this experiment, we use the Cost 2100 Cali Reference Scenario. INDEX TERMSReference scenarios, propagation models, andean propagation, andean scenarios.
Propagation models used to plan outdoor wireless networks on urban environment, tend to include a high degree of empirical component. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equation usually contains constants, and coefficients for the different terms, mainly obtained by statistical analysis of measurement sets, collected during drive tests on large areas of the city. Unfortunately, such results are only truly valid for the city or parts of the city on which the measurements were taken. They can also be considered appropriate for similar areas or cities at the most. If the areas are not similar enough however, a process of adjustment is necessary, leading to the finding of new constants and coefficients. The purpose of this paper is to discuss some of the findings during the process of statistically adjust the Okumura-Hata and Walfisch-Bertoni models to the Cali scenario, using measurements
ResumenEn la industria del software son mayoría las pequeñas empresas, y es importante que incorporen prácticas de gestión cuantitativa de procesos para reducirles su variabilidad. CMMI-DEV e ISO/IEC 15504-5 abordan gestión cuantitativa, pero son para grandes organizaciones. MoProSoft, COMPETISOFT y MPS. BR son para pequeñas empresas, pero no incluyen gestión cuantitativa. Mediante revisión sistemática de literatura se buscaron trabajos sobre gestión cuantitativa de procesos para pequeñas empresas desarrolladoras de software que indiquen cuáles prácticas efectuar y cómo ejecutarlas. Se concluye que no está disponible una propuesta integrada que incorpore prácticas de gestión cuantitativa de procesos software para este tipo de organizaciones. AbstractIn the software industry, small entities are majority, and is important that incorporate them quantitative processes management practices for to reduce processes variability. CMMI-DEV and ISO/IEC 15504-5 address quantitative management, but are for big organizations. MoProSoft, COMPETISOFT and MPS.BR are for the small enterprises, but not include quantitative management. Through a systematic review of literature, searched for works about quantitative process management for small software developing enterprises indicating what practices do and how to execute. As conclusion, there is not available an integrated proposal that incorporate management practices quantitative of software processes for this kind of organizations. Palabras claveGestión cuantitativa de procesos; mejora de procesos; medición y análisis; pequeñas empresas; revisión sistemática. KeywordsQuantitative process management; process improvement; measurement and analysis; small enterprises; systematic review.
. Modelado de procesos en el desarrollo global de software. Ingenium, 9(23), [17][18][19][20][21][22][23][24][25][26] Modelado de procesos en el desarrollo global de software ResumenEl modelado de procesos software es una actividad que se consolida como estrategia básica para mejorar la producción de aplicaciones software. El advenimiento del desarrollo global de software con actores disgregados alrededor de todo el mundo oferta grandes beneficios a la labor de producción de aplicaciones software; sin embargo, impone retos y dificultades a superar para lograr su cometido. El presente artículo presenta GSDModel, un marco de trabajo que pretende guiar el modelado de procesos en el contexto del desarrollo global de software. Palabras claveDesarrollo global de software; modelado de procesos; procesos software. AbstractSoftware process modeling is an activity which is becoming a basic strategy to improve the production of software applications. The advent of global software development with actors dispersed around the world offer great benefits to the work of producing software applications, however, imposes challenges and difficulties to achieve their goal. This article presents GSDModel, a framework that aims to guide the process modeling in the context of global software development.
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