“…In previous studies, we described some methods to better exploit existing radio measurements [2] [3]. The obtained results were very encouraging: using statistical tools, we extracted useful information of the state of the mobile (indoor, outdoor, incar, pedestrian, unmoving).…”
Section: Study Approachmentioning
confidence: 90%
“…the wavelet transform with the multiresolution representation [2] and the likelihood ratio function associated with the Neyman-Pearson test [3].…”
<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">Radio measurements play a crucial role in mobile wireless networks as they are input of Radio Resource Management (RRM) mechanisms, needed to assess mobile network reliability and to supervise the planned coverage area. Nevertheless, these measurements are used in their crude state without any additional intelligent treatment whereas they are a rich and unexploited source of information for the network. In this paper, we propose a new approach for the manipulation of existing radio measurements in wireless mobile networks. The goal is to optimize the use of these measurements with new approaches of exploitation in different locations of the network, basing on advanced signal processing tools. This new approach is based on nonparametric regression and smoothing methods. Interesting results are inferred from this analysis, based on real measurement traces collected in different environments and situations. Main results are the elaboration of a dynamic estimator of the attenuations components (pathloss, shadowing and fast fading), a method for the determination of the mobile user situation (incar, pedestrian and unmoving) as well as ameliorations in the handover procedure. We conclude that integrating advanced radio signal processing in RRM mechanisms is an efficient and easy-toimplement way for a better use of radio measurements.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p>
“…In previous studies, we described some methods to better exploit existing radio measurements [2] [3]. The obtained results were very encouraging: using statistical tools, we extracted useful information of the state of the mobile (indoor, outdoor, incar, pedestrian, unmoving).…”
Section: Study Approachmentioning
confidence: 90%
“…the wavelet transform with the multiresolution representation [2] and the likelihood ratio function associated with the Neyman-Pearson test [3].…”
<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">Radio measurements play a crucial role in mobile wireless networks as they are input of Radio Resource Management (RRM) mechanisms, needed to assess mobile network reliability and to supervise the planned coverage area. Nevertheless, these measurements are used in their crude state without any additional intelligent treatment whereas they are a rich and unexploited source of information for the network. In this paper, we propose a new approach for the manipulation of existing radio measurements in wireless mobile networks. The goal is to optimize the use of these measurements with new approaches of exploitation in different locations of the network, basing on advanced signal processing tools. This new approach is based on nonparametric regression and smoothing methods. Interesting results are inferred from this analysis, based on real measurement traces collected in different environments and situations. Main results are the elaboration of a dynamic estimator of the attenuations components (pathloss, shadowing and fast fading), a method for the determination of the mobile user situation (incar, pedestrian and unmoving) as well as ameliorations in the handover procedure. We conclude that integrating advanced radio signal processing in RRM mechanisms is an efficient and easy-toimplement way for a better use of radio measurements.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p>
“…Both geometrical and variability checks [17] are made in order to classify the call as static and finally generate a single-point output. • Triangulation-based Localization Algorithm (TLA).…”
Section: Error Mitigation Mechanisms For Triangulationbased Localizationmentioning
User localization is one of the key service-enablers in broadband mobile communications. Moreover, from a different point of view, next steps towards automatic network optimization also depend upon the capability of the system to perform real-time user localization, in order to obtain the traffic distribution. The aim of this paper is to get deeper into the feasibility and accuracy of different localization mechanisms ranging from triangulation to database correlation. Call tracing data extracted from a real operating mobile network have been used to assess these algorithms after the execution of an extensive measurements campaign. Results show that enhanced triangulation offers the best performance even outperforming other more sophisticated mechanisms like fingerprinting, without introducing any change in the network and without requiring any special characteristic of the user equipment. Indeed, the lack of precision of channel estimates, which for the same position could differ up to 10 dB, introduces a large uncertainty that harms localization mechanisms based on database correlation. Finally, this paper identifies the areas for improvement in triangulation to reach its maximum potential, provides details for its implementation and analyzes the performance of the different proposed enhancements.
“…Por lo tanto, es necesario algún tipo de procesado posterior para identificar este tipo de llamadas. Realizando tanto comprobaciones geométricas como de variabilidad de la RSS [80] es posible detectar llamadas estáticas y generar como salida unúnico punto de localización en lugar de una trayectoria. Así, se detecta que una llamada es estática si se cumple cualquiera de las siguientes condiciones.…”
Currently, wireless mobile communications are immersed in a process of evolution. 3G technologies give way to 4G, in a context of tremendous growth in traffic demand by users of mobile broadband, and the introduction of LTE technology is starting to spread.In this process of improvement, which is a major financial outlay for mobile operators, there is a growing interest in reducing operational expenditures of planning and network optimization, for which automatic mechanisms that perform these functions emerge as the ideal solution.This PhD Thesis proposes various automatic mechanisms for planning and optimization of LTE networks and provides a detailed study of its performance. The content is structured in three sections, preceded by a description of the followed methodology, which is based on simulations, and the different assumptions made.The first part focuses on the treatment of available information and describes a set of tools designed to assist in the proposed processes. Of great relevance to the rest of the thesis is the designed location algorithm, which is a fundamental tool in all automatic planning and optimisation mechanisms due to the ability of geo-referencing the information used. The great advantage of the algorithm is that it is possible to use it without introducing any new elements in the network which enable it, as it is based on measurements made during normal operation of the network, acquired through call tracing tools. It is also worth mentioning the use of expert systems based on neural networks for obtaining feedback for specific recommendations given by the designed optimization tool.Secondly, the planning and optimization of LTE radio access network using heuristic search methods of the optimal solution are treated. The use of realistic traffic maps, enabled by the location algorithm, and the estimation of the load in each cell allows accurate assessment of the performance of the different candidate solutions in an acceptable time, thanks to the linearization of the models used among other methods proposed for efficient execution of the process. It also assesses the impact of the localization algorithm error on the planning and optimization solutions obtained.Finally, because of radio spectrum resources are limited and need to be managed properly, the best options are analysed when it comes to the reuse of available resources and the migration of base stations of legacy technologies. Furthermore, in order to mitigate the shortage of available resources in frequency, the usage of opportunistic spectrum access mechanisms are proposed to make use of underutilized resources in other wireless systems. This opportunistic access applies to macrocellular environments, where again the location algorithm is an essential tool, and femtocellular environments. Additionally, implementation details of the necessary coordination mechanisms and performance evaluation results are provided. El estándar Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) representa la evoluci...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.