![]() We use two types of data to demonstrate the methodology of the assessment-connectivity and positioning data to assess the connectivity and localization performance provided by the infrastructure and image data for road signage detection using a Convolutional Neural Network (CNN). Moreover, we demonstrate how the proposed framework can be applied using data collected on a public transport route in the city of Zilina, Slovakia. We discuss the equipment and methodology applied for the collection and analysis of required data to score the infrastructure segments in an automated way. In this paper, we present an assessment framework that can be used to score segments of physical and digital infrastructure based on their features and readiness to expedite the deployment of Connected and Automated Vehicles (CAVs). In addition, we have confirmed that all three NB-IoT scenarios coexist perfectly on 2G/4G networks and satisfy the original requirements of 3GPP's in deep coverage and robust quality of network service. The research shown that exact the standalone mode provide the best performance for these parameters. The following parameters chosen as an assessment measure: radio coverage, network capacity and user experience. ![]() ![]() The choice of NB-IoT deployment scenario has a significant impact on the quality and performance of the network.In this article, presented the results of an experimental study of the performance of all three scenarios for NB-IoT deploying in a real working cellular network under equal operating conditions for consideration. The technology can be deployed in three different operational modes: (1) in-band, (2) guard-band, or (3) standalone in dedicated spectrum. The technology provides improved indoor coverage, support of massive number of low data rate devices, low delay sensitivity, ultra-low device cost, low device power consumption and optimized network architecture. ![]() Narrow-band Internet of Things is a new promising radio technology standard that addresses the requirements of the IoT. ![]()
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