Wireless Network Human Presence Detection RF Exposure
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Solution Overview
Problem
Current wireless networks do not dynamically adjust RF energy emission based on human presence, leading to potential biological exposure to high-frequency electromagnetic fields, which is a concern despite the generally considered harmless nature of RF exposure.
Innovation Solution
Incorporating network devices with components to detect human presence using various criteria and modify transmission parameters, such as switching to optical communication or reducing RF energy, to minimize exposure when a biological entity is detected within a certain proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless network devices transmit data using RF energy to achieve highest data rates, then network connectivity and data transmission performance are improved, but RF energy exposure to humans increases
Solution Approach 1:
The system dynamically adjusts transmission parameters based on detected human presence. When a human is detected within a threshold distance, the system transitions from high-power RF transmission to low-power or alternative transmission modes, and when no human is present, it returns to high-power transmission for optimal performance.
Solution Approach 2:
The system changes transmission parameters such as power level, transmission mode, and communication protocol based on the detected presence of humans. This includes switching between different modulation schemes, adjusting transmit power levels, or selecting alternative communication paths to minimize RF exposure while maintaining connectivity.
2Reliability
If network devices continuously transmit at high power to maintain connectivity, then network reliability is improved, but biological safety is worsened
Solution Approach 1:
The system uses periodic detection cycles to monitor human presence and adjusts transmission accordingly. It alternates between periods of high-power transmission for optimal connectivity and low-power or silent periods when humans are detected, maintaining network reliability through continuous monitoring and adaptive response.
Solution Approach 2:
The system incorporates feedback from human presence detection to control transmission power levels. Detection results are fed back to the transmission system, which automatically adjusts power output in real-time, creating a closed-loop control system that balances connectivity and safety.
3Object-affected harmful factors
If the system detects human presence and reduces RF energy transmission, then biological safety is improved, but data transmission rate decreases
Solution Approach 1:
The system introduces an intermediary detection mechanism that monitors human presence and mediates between the transmission system and the environment. This intermediary layer enables the system to detect when to reduce power and when to maintain high transmission rates, coordinating the conflicting requirements of safety and performance.
Solution Approach 2:
The system segments the transmission timeline into different periods based on human presence detection. During periods when humans are detected, it uses low-power or alternative transmission modes, while during periods without human presence, it employs high-power transmission for optimal performance, thereby segmenting the overall transmission strategy to address both safety and productivity requirements.
Data Source
AI summary
An apparatus including a wireless component configured for wireless communication in view of a set of wireless parameters and one or more processors configured to determine whether a biological presence is within a proximity based on a set of predetermined criteria and modify the set of wireless parameters in response to the biological presence being detected within the proximity.