In recent years, the demand of train-commuting nomadic users for the Internet has been a huge challenge for train and mobile operators. Consequently, train operators have started to deploy in-train repeater systems to increase mobile users' service quality. These systems generally follow the structure of static deployments. However, in contrast to a static deployment where the system is set up once using constant parameters that are based on an initial measurement, the train will commute in dense urban city centers and sparsely populated rural areas. We propose a holistic model that helps to understand the role of each system component, namely, cabin pathloss, repeater model, window penetration loss, and outdoor pathloss, in which each individual element can be measured independently. We parametrize the model by measuring an existing in-train repeater deployment of a high-speed train. Finally, we have analyzed the operation of the complete system for two extreme cases of deployment strategy: simple rural and optimized track side. We show that the main benefit of the tested system is visible in the nonoptimized rural deployment. However, the optimized deployment also benefits from the repeater setup.


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    Title :

    Measurement Based Modelling of In-Train Repeater Deployments


    Contributors:


    Publication date :

    2019-04-01


    Size :

    844779 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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