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Multi-path communications access decision scheme

机译:多路径通信访问决策方案

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Resolution of seamless switching within a set of available wireless access solutions applied in Intelligent Transport Systems (ITS) is presented. CALM based system or specifically designed and configured L3/L2 switching can be relevant solution for multi-path access communication system. These systems meet requirements of the seamless secure communications functionality within even extensive cluster of moving objects. Competent decision processes based on precisely quantified system requirements and each performance indicator tolerance range must be implemented to keep service up and running with no influence of continuously changing conditions in time and served space. Method of different paths service quality evaluation and selection of the best possible active communications access path is introduced. Proposed approach is based on Kalman filtering, which separates reasonable part of noise and also allows prediction of the individual parameters near future behavior. Presented classification algorithm applied on filtered measured data combined with deterministic parameters is trained using training data, i.e. combination of parameters vectors line and relevant decisions. Quality of classification is dependent on the size and quality of the training sets. This method is studied within projects e-Ident, DOTEK and SRATVU which are elaborating results of project CAMNA.
机译:提出了一组可用的无线接入解决方案中的无缝切换解决方案的解决方案。基于镇静的系统或专门设计和配置的L3 / L2交换可以是多路径访问通信系统的相关解决方案。这些系统满足了甚至广泛的移动物体集群中无缝安全通信功能的要求。基于精确量化的系统要求和各项性能指标公差范围主管决策过程必须实施,以保持服务并在时间和空间的供应没有不断变化的条件下运行的影响。介绍了不同路径服务质量评估的方法和选择最佳的活动通信访问路径。提出的方法是基于卡尔曼滤波,其分离合理部分的噪声,并且还允许预测未来行为附近的各个参数。应用于滤波测量数据的呈现算法与确定性参数结合使用训练数据训练,即参数向量线和相关决策的组合。分类质量取决于培训集的规模和质量。在项目E-IDENT,DOTEK和SRATVU中研究了该方法,这些方法正在详细说明项目CAMNA的结果。

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