Application-Aware Radio Exposure Control for Multi-Radio Transmission
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Solution Overview
Problem
Designing electronic devices with wireless capabilities to meet regulatory limits on radio-frequency exposure without sacrificing performance is challenging.
Innovation Solution
Implementing an RF exposure metric manager that dynamically allocates radio-frequency exposure budgets to radios based on application data classification, prediction, and environmental factors, ensuring compliance with regulatory limits while optimizing wireless performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regulatory limits on radio-frequency exposure are strictly enforced, then compliance with safety regulations is achieved, but wireless performance is sacrificed
Solution Approach 1:
The patent implements dynamic RFE budget allocation that adjusts transmit power limits in real-time based on classified data patterns (continuous, periodic burst, single burst). This allows the system to optimize wireless performance within regulatory constraints by adapting power levels to actual transmission needs rather than applying static limits.
Solution Approach 2:
The system changes the parameter of transmit power dynamically by classifying data types and assigning different RFE budgets accordingly. Continuous data receives different power allocation than periodic or single-burst data, enabling the system to maximize performance while maintaining compliance through parameter optimization.
2Reliability
If transmit power is reduced to meet RF exposure limits, then regulatory compliance is achieved, but transmission reliability and speed deteriorate
Solution Approach 1:
The system performs preliminary classification of data patterns before transmission to determine the appropriate RFE budget. By predicting whether data will be continuous, periodic burst, or single burst beforehand, the system can pre-calculate optimal power levels that maintain transmission speed while ensuring regulatory compliance.
Solution Approach 2:
The patent implements dynamic adjustment of transmit power based on real-time data classification. The system continuously monitors data patterns and adjusts power levels dynamically, allowing high-speed transmission when appropriate (e.g., single burst) while maintaining compliance during sustained transmissions.
3Ease of operation
If uniform RFE budget allocation is applied to all radios, then simplicity of management is maintained, but optimization of wireless performance is lost
Solution Approach 1:
The patent segments the RFE budget allocation by dividing it into radio-specific budgets based on individual radio characteristics, data patterns, and transmission requirements. This segmentation enables optimized performance for each radio while maintaining centralized management through the RF exposure metric manager that automatically performs the segmentation.
Solution Approach 2:
The system implements self-service through automatic data classification and RFE budget assignment. The RF exposure metric manager autonomously classifies data patterns, predicts transmission characteristics, and allocates appropriate budgets to each radio without manual intervention, maintaining ease of operation while achieving optimization.
4Reliability
If transmit power backoffs are increased to ensure compliance, then regulatory limits are met, but power efficiency and transmission reliability worsen
Solution Approach 1:
The patent optimizes power parameters by changing transmit power levels dynamically based on classified data patterns. Instead of applying uniform backoffs, the system adjusts power parameters precisely according to actual transmission needs, minimizing energy losses while ensuring compliance.
Solution Approach 2:
The system dynamically adjusts transmit power to match actual transmission requirements classified by data type. This dynamic approach prevents excessive power backoffs by allocating appropriate RFE budgets that allow maximum power usage within regulatory limits, thereby reducing energy losses.
Data Source
AI summary
An electronic device may include radios that transmit signals using antennas. Control circuitry may assign radio-frequency exposure (RFE) budgets to the radios. The control circuitry may classify and predict attributes of application data for transmission over the radios, may generate a per-radio data prediction based on the classified attributes, and may generate the RFE budgets based on the classified attributes. Each radio may transmit application data based on its data prediction and according to its RFE budget. A dynamic portion of the RFE budget may be reserved for control signaling. RFE planning in this way may ensure that the device optimally utilizes its RFE budget, increasing overall RFE during some time periods so sufficient transmit power is available, and ensuring that RFE is distributed across the radios depending on the amount and criticality of the data to be transmitted by each radio.