Jan 1, 2023 · With the rapid popularization of the network, under the increasingly complex network security situation and the increasingly prominent network security problems, network security
Nov 26, 2019 · A promising approach is to adopt unmanned aerial vehicles (UAVs) as aerial user equipments (UEs) or flying base stations (BSs). In particular, UAV-based communications can
Jan 1, 2023 · In the experiment, using the supervised machine learning algorithm, the program of the wireless communication base station monitoring system is designed by setting the working
Jul 16, 2023 · With the arrival of 5G era and the vigorous development and construction of smart city infrastructure, the coverage of a single base station becomes smaller, so it needs to be
Nov 30, 2019 · Aiming at improving the efficiency and the accuracy of the base station antenna inspection, a new method is proposed to use the deep learning algorithm YOLO v3 algorithm
Aug 1, 2023 · Moreover, dedicated UAVs could be deployed as aerial base stations (BSs), access points (APs) or relays, to assist terrestrial wireless communications from the sky, leading to
Dec 16, 2020 · In recent years, with the rapid deployment of fifth-generation base stations, mobile communication signals are becoming more and more complex. How to identify and classify
Dec 31, 2012 · The Mobile Communication Base Station Inspection is one type of basic work to ensure safe operation of the base station equipment. By using the mobile application
Research on Wireless Communication Base Station Monitoring System Based on Artificial Intelligence and Network Security 2.1 Research on Key Technologies of Wireless Communication The communication of network is the fundamental of wireless communication .
In view of the improvement and challenges of wireless communication technology, it is necessary to establish an efficient and stable wireless communication base station monitoring system to solve the serious drawbacks of "monitoring without control and low reliability" in the traditional staffed computer room for monitoring.
In the experiment, using the supervised machine learning algorithm, the program of the wireless communication base station monitoring system is designed by setting the working frequency of the GSM-based wireless communication system to the wireless communication base station monitoring system.
Test method for the equipment of the base station: select the corresponding equipment, check the status of the selected equipment, change the status of the equipment, check the status update of the equipment, and test whether the software can meet the control function of the base station equipment.
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