Base Station Power Control Algorithm for Regulatory Compliance
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Solution Overview
Problem
Current methods for controlling the average power transmitted by base radio stations are inefficient, as they rely on manual adjustments and provide delayed responses to power exceedances, leading to potential regulatory issues and high operational loads, especially in complex 4G and 5G networks.
Innovation Solution
A predictive method using machine learning and artificial intelligence, implemented through the 'Power Watcher' algorithm, continuously monitors and adjusts the power transmitted by base radio stations in real-time to ensure compliance with daily average power thresholds, automatically limiting power when thresholds are anticipated to be exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and reporting of base radio station power is used, then regulatory compliance can be achieved, but operational load and time consumption increase significantly
Solution Approach 1:
The system enables self-service by automatically monitoring, analyzing, and adjusting base radio station power levels without manual intervention. The automated system collects power data, predicts threshold exceedances, and executes power reduction actions independently, eliminating the need for manual operational tasks while ensuring regulatory compliance.
Solution Approach 2:
The system implements continuous feedback loops where power transmission data is collected, analyzed against regulatory thresholds, and used to automatically adjust power levels. The feedback mechanism includes real-time monitoring of cumulative power and predictive analysis that triggers automatic corrective actions when thresholds are approached or exceeded.
2Reliability
If manual power adjustment is performed periodically, then some compliance can be maintained, but real-time compliance cannot be ensured
Solution Approach 1:
The system performs preliminary actions by continuously monitoring cumulative power transmission and predicting potential threshold exceedances before they occur. When the system forecasts that the daily power threshold will be exceeded, it proactively reduces power levels in advance, preventing compliance violations rather than reacting after they occur.
Solution Approach 2:
The system ensures continuous compliance monitoring and adjustment rather than periodic checks. Power data is collected continuously, analyzed in real-time, and adjustments are made as needed throughout operational periods, ensuring uninterrupted compliance assurance without gaps between manual intervention cycles.
3Productivity
If automated SON procedures are implemented for network optimization, then productivity increases, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining data collection, predictive analysis, decision-making, and power control functions into a single automated platform. The same system infrastructure handles multiple tasks including regulatory compliance monitoring, network optimization, and real-time power adjustment, reducing the need for separate specialized systems.
Solution Approach 2:
The system introduces an intermediary layer between raw power data and control actions. This intermediary includes predictive algorithms and analysis modules that process data, forecast threshold violations, and generate control decisions, simplifying the overall system architecture by creating a structured intermediate processing stage rather than direct manual or simple automated control.
Data Source
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AI summary
A method for controlling the average power transmitted by a base radio station in a mobile network, comprising the steps of: a) acquiring and processing the power value actually transmitted by the base radio station (Ptxavg_24hour_transmitted) and data relating to the traffic of the base radio station, to generate and store historical data; b) providing a maximum threshold value of average daily power (P24_threshold) that can be transmitted by the base radio station; c) providing a control algorithm for the transmitted power called "Power Watcher"; d) detecting by means of the Power Watcher algorithm the value of average and cumulative power actually transmitted by the base radio station (Ptxavg_24 hours_transmitted) in real time from the beginning of the day; e) processing by means of the Power Watcher algorithm the historical data and the value of the average and cumulative power actually transmitted by the base radio station (Ptxavg_24ore_transmitted) in real time, in order to calculate an estimated value of the average and cumulative power that will be transmitted by the base radio station during the rest of the day (Ptx_estimated); g) using the Power Watcher algorithm to limit the power transmitted by the base radio station during the rest of the day when the sum of the estimated value of the average and cumulative power that will be transmitted by the base radio station during the rest of the day (Ptxestimated) with the value of the average and cumulative power actually transmitted by the base radio station (Ptxavg_24hours_transmitted) up to the real-time detection time instant exceeds the maximum threshold value of daily average power (P24_threshold).