Fast Energy Counter Algorithm for Wireless Transceiver Power Monitoring
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Solution Overview
Problem
Conventional methods for tracking energy consumption in wireless communication transceivers, particularly in IoT devices, are inefficient due to the need for dedicated hardware that increases size and power consumption, and are unable to accurately monitor power usage in real-time.
Innovation Solution
A method and system that calculates power consumption using a linear function of the exponential of the radio frequency (RF) power output, incorporating parameters and time intervals, allowing for real-time monitoring and adjustment of power levels based on a lookup table, enabling local computation and reducing processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a specialized battery fuel gauge integrated circuit is inserted to track consumed energy, then energy consumption monitoring is improved, but device size increases and power consumption increases
Solution Approach 1:
The patent combines the energy consumption monitoring function with the existing transceiver processor by implementing a fast energy counter algorithm in software/firmware. This merges the fuel gauge functionality into the existing communication processor, eliminating the need for a separate dedicated IC and thereby reducing device volume while maintaining monitoring capability.
Solution Approach 2:
The transceiver processor is made multi-functional by enabling it to perform both its primary communication processing tasks and energy consumption monitoring through the fast energy counter algorithm. This universal approach allows one component to serve multiple purposes, eliminating dedicated hardware for monitoring.
2Measurement precision
If a specialized battery fuel gauge integrated circuit is inserted to track consumed energy, then energy consumption monitoring is improved, but power consumption increases
Solution Approach 1:
The monitoring function is merged into the existing transceiver processor that is already consuming power for communication operations. By implementing the fast energy counter in software, the additional power consumption is minimal compared to running a separate dedicated IC, thus improving monitoring while minimizing extra power usage.
Solution Approach 2:
The transceiver processor monitors its own energy consumption by implementing the fast energy counter algorithm internally. This self-service approach eliminates the need for external monitoring hardware and its associated power consumption, as the processor tracks its own power usage during transmission and reception operations.
3Device complexity
If conventional energy tracking methods are used, then device structure is simple, but real-time power monitoring accuracy is insufficient
Solution Approach 1:
The patent changes the computational parameters by implementing an optimized algorithm that uses exponential power levels and lookup tables to achieve accurate real-time energy tracking. This mathematical approach transforms the monitoring process to deliver high precision without requiring complex hardware structures, maintaining simplicity while improving measurement accuracy.
4Measurement precision
If complex hardware and remote server computations are used for power monitoring, then processing accuracy is improved, but processing power requirements increase
Solution Approach 1:
The patent extracts the energy monitoring computation from remote servers and implements it locally within the transceiver through the fast energy counter algorithm. This local computation approach eliminates the need for continuous remote server processing while maintaining accuracy, thereby reducing the processing power requirements compared to cloud-based solutions.
Solution Approach 2:
The patent uses pre-computed lookup tables containing exponential power level values that are stored in memory. During operation, the fast energy counter simply retrieves and sums these pre-calculated values based on measured power levels, avoiding complex real-time computations. This preliminary preparation of data reduces processing power requirements while maintaining monitoring accuracy.
Data Source
AI summary
A device, system and method is provided for managing battery power of a telecommunications device within a remote wireless device. An amount of power is determined that is consumed by the telecommunications device of the remote wireless device during an operation of the telecommunication device based on a linear function of an exponential of a power level measuring a radio frequency (RF) power output by the telecommunications device utilized during operation one or more parameters associated with the remote device, and an amount of time that each power level is utilized during operation. The determined amount of power consumed by the telecommunications device, or a derivation thereof, may be wirelessly transmitted to a wirelessly connected device.