Wireless Device Energy-Based Time Averaging Control
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Solution Overview
Problem
Current wireless communication devices face challenges in managing radio frequency power to comply with exposure limits, as they need to balance data throughput with potential environmental impact, requiring a method to predict and manage energy accumulation over time to avoid exceeding operational guidelines.
Innovation Solution
A method and device that detect operating conditions, calculate normalized energy accumulation, and compute allowed power for future sub-periods to ensure compliance with energy limits by duty-cycling transmit power between high and low states, using a time-averaging algorithm to maintain energy within predefined limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless communication devices transmit signals at high power to support greater data throughput, then productivity is improved, but the energy accumulation over time may exceed exposure limits causing harmful effects
Solution Approach 1:
The patent implements periodic action through duty-cycling the transmitter, alternating between high-power transmission states and low-power or idle states. This periodic operation allows the device to achieve high data throughput during active transmission periods while ensuring that the time-averaged energy accumulation remains within exposure limits, thus resolving the contradiction between productivity and harmful effects
Solution Approach 2:
The system dynamically adjusts transmit power levels based on real-time monitoring of energy accumulation and predicted future accumulation. By making the power level variable rather than static, the system can optimize data throughput when conditions permit while automatically reducing power when approaching exposure limits, thereby balancing productivity against harmful effects
2Object-affected harmful factors
If the device continuously monitors and controls energy accumulation to comply with exposure limits, then harmful effects are minimized, but the complexity of the power management system increases
Solution Approach 1:
The system performs preliminary action by predicting future energy accumulation before actually transmitting at high power levels. By calculating the predicted energy accumulation and comparing it against exposure limits in advance, the system can proactively adjust power levels to ensure compliance, avoiding the need for complex real-time control mechanisms while still minimizing harmful effects
Solution Approach 2:
The power management system utilizes self-service by automatically monitoring its own energy accumulation, predicting future levels, and adjusting transmit power accordingly without external intervention. This autonomous operation simplifies the overall system architecture by integrating monitoring and control functions within the existing transmitter control logic, minimizing additional complexity while ensuring exposure compliance
3Object-affected harmful factors
If the transmitter power is reduced to maintain compliance with exposure limits, then harmful effects are minimized, but the data throughput and network performance deteriorate
Solution Approach 1:
The system employs periodic high-power transmission bursts separated by lower-power intervals, allowing maximum data throughput to be achieved during high-power periods while the average energy exposure remains compliant. This periodic action resolves the contradiction by decoupling instantaneous throughput capability from time-averaged exposure limits
Solution Approach 2:
The system dynamically changes the power level parameter based on predicted energy accumulation, transitioning between high-power and low-power states. By adjusting this critical parameter in response to system state, the transmitter can optimize throughput when possible while automatically complying with exposure limits, thereby resolving the contradiction between harmful effects and productivity
Data Source
AI summary
The present application provides a method and a wireless communication device, which includes detecting one or more operating conditions of the wireless communication device, and determining a normalized energy relative to a monitored energy accumulation over time for each of one or more detected device operating conditions. An amount of already accumulated normalized energy for the detected device operating conditions is compared over an immediately prior window of time. An amount of allowed power to be used during a future sub-period of an upcoming window of time is computed, so as not to exceed an associated limit relative to the overall amount of allowed monitored energy accumulation in each current and upcoming window of time.