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Hardware alarms reduction in Radio Base Stations by forecasting Power

Based on the prediction of PSU usage by an advanced generalized additive model for time series forecasting called Prophet, the PSU power headroom is derived and the

CN113178925A

The invention relates to the technical field of power supply management of a communication base station, in particular to an intelligent power supply state detection method and system...

Recurrent Neural Network-based Base Transceiver Station Power Supply

Eleven power-supply system related features and alarms were collected from a real-time power and environmental monitoring system installed in each BTS.

Recurrent Neural Network-based Base Transceiver

In mobile telecom networks, Base Transceiver Station (BTS) is a key

Prediction of Base Transceiver Station Power Supply System

This study is dedicated to predicting potential failure indicators in BTS power systems using deep neural network architectures, such as recurrent and convolutional neural networks.

A Green Base Station Dual Power Supply Strategy

To address the issue of how to maximize renewable power utilization, a dual power supply strategy for green base station is proposed in this article. The strate.

Hardware alarms reduction in Radio Base Stations by forecasting

Based on the prediction of PSU usage by an advanced generalized additive model for time series forecasting called Prophet, the PSU power headroom is derived and the

Machine learning for base transceiver stations power failure

Leveraging redundant BTS power supply with predictive analytics allows network operators to anticipate outages, crucial for maintaining service reliability and minimizing

Recurrent Neural Network-based Base Transceiver Station

Eleven power-supply system related features and alarms were collected from a real-time power and environmental monitoring system installed in each BTS.

Base station power supply detection

Base Transceiver Stations (BTSs), are foundational to mobile networks but are vulnerable to power failures, disrupting service delivery and causing user inconvenience. What is a

Predictive maintenance of base transceiver station power system

ECONET Zimbabwe has been experiencing unprecedented BTS power system failures for the past five years. Team Data Science Process was the pillar of the study methodology. The

Envelope Tracking Power Supply for Energy Saving of Mobile

The power consumption of the RF PA in wireless communication base stations are too large and the efficiency of RF PA is too low. In this paper, a new hybrid ET power supply with a multi

Recurrent Neural Network-based Base Transceiver Station Power Supply

In mobile telecom networks, Base Transceiver Station (BTS) is a key infrastructure that connects customers with the mobile network. BTSs are geographically scattered across the networks

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