Terminal Power Consumption Estimation Using Network Output Power
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Solution Overview
Problem
Current methods for estimating terminal power consumption rely solely on service models, which fail to account for variations in network coverage and power amplifier consumption, leading to inaccurate power consumption evaluations.
Innovation Solution
Determine the probability proportion and power consumption of multiple terminals at different output powers within an operational network, calculating total power consumption by multiplying these values, and incorporating power amplifier efficiency to improve estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If terminal power consumption is estimated using only service models, then the estimation process is simple, but the accuracy is insufficient
Solution Approach 1:
The patent segments the power consumption estimation into multiple independent components: service model-based baseline consumption and network condition-based additional consumption. This allows the complex estimation problem to be divided into manageable parts, each handled by appropriate methods, thereby improving overall accuracy without creating an unmanageably complex system.
Solution Approach 2:
The patent introduces network condition parameters (such as signal strength, network load, and power amplifier efficiency) as intermediary factors that mediate between the service model and actual terminal power consumption. These intermediaries bridge the gap between theoretical service requirements and real-world consumption, enabling more accurate estimation without directly complicating the core estimation logic.
2Measurement precision
If actual network conditions and power amplifier efficiency are considered, then power consumption estimation accuracy is improved, but the complexity of data collection and processing increases
Solution Approach 1:
The patent enables the network system to self-provide the necessary measurement data for accurate power consumption estimation. Network devices automatically collect and report network conditions (signal strength, load, etc.) without requiring external measurement systems or complex user-side monitoring, thereby reducing the difficulty of data collection while maintaining high estimation accuracy.
Solution Approach 2:
The patent implements a feedback mechanism where network condition data is continuously collected, processed, and used to adjust power consumption estimates. This feedback loop allows the system to adapt to changing network conditions dynamically, improving accuracy over time while the system automatically manages the complexity of data processing through established protocols.
Data Source
AI summary
A data processing method, apparatus, device, and storage medium are provided. The method includes: determining a probability proportion of multiple terminals in an operational network at different output powers; and determining the power consumption of each terminal among the multiple terminals at the different output powers; calculating a total power consumption of each terminal based on the probability proportion and the power consumption.