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
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
Jun 10, 2024 · Abstract This thesis investigates time synchronization, which is crucial in various appli-cations, such as power grid monitoring, communication systems, and in the fu-sion of
Jul 18, 2025 · Credibility monitoring of the AIS base station consists of two main components: one is the credibility assessment of the AIS base station data link to ensure the integrity of signal
Mar 19, 2022 · The ZigBee base station group is mainly responsible for communicating with the monitor through the internal ZigBee RF module; The coordinator is mainly responsible for
Jul 10, 2025 · Ensuring reliable and low-latency communication in offshore wind farms is critical for efficient monitoring and control, yet remains challenging due to the harsh environment and
Dec 1, 2024 · There is a lack of models that can fully evaluate the post-earthquake functional states of base stations with the consideration of the dependencies between different
Aug 1, 2023 · Due to channel fading and path loss, the transmission distance of electromagnetic signals is limited. To transmit the data packets counted in the monitoring area to the data
Jul 6, 2018 · The developed system collects environmental data of wireless communication base station using several sensors, analyzes the collected data using particle filters, and controls
Apr 23, 2025 · Base station analyzers are designed to test various parameters that determine the health of a base station. These include signal strength, frequency accuracy, modulation
Apr 23, 2025 · Central to ensuring these networks function efficiently are base stations, and more specifically, the tools used to monitor and maintain them—base station analyzers. A base
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 connecting to the base station equipment: enter the IP address and port information of the base station to be tested, and click the "Connect" button to test whether the connection is successful.
Some key tests include output power, output power dynamics, transmit ON / OFF power, transmit signal quality, unwanted emissions, and transmitter intermodulation. Therefore, it is essential to select testing devices that can provide robust performance, and ensure that the base station transmitters in the network perform to standards.
Characterizing mmWave signal quality: EVM EVM is the most common metric for evaluating modulation quality in digital communications. The error vector is the vector diference between the I-Q reference signal and the measured signal at a given time. The error vector is a complex quantity with a magnitude and phase component.
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