Wi-Fi Target Sensing Scheduling Under Communication Load
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Solution Overview
Problem
Wi-Fi target sensing consumes resources intended for wireless communication, degrading performance in Wi-Fi devices.
Innovation Solution
A sensing controller schedules different groups of sensing devices and configurations based on predefined conditions, such as target status and traffic distribution, to minimize the impact on wireless communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If target sensing is performed using Wi-Fi devices, then target sensing capability is improved, but wireless communication performance deteriorates due to resource consumption
Solution Approach 1:
The patent implements dynamic scheduling of sensing devices based on real-time traffic conditions and sensing requirements. The sensing controller adjusts which devices perform sensing and with what configuration depending on current network load and target status, making the system adaptive rather than static. This resolves the contradiction by allowing sensing capability to be maintained when needed while reducing sensing activity when communication performance is prioritized.
Solution Approach 2:
The patent changes key parameters including sensing device selection, sensing configuration, and message exchange frequency based on traffic distribution and target status. By dynamically adjusting these parameters, the system can optimize between sensing accuracy and communication performance, resolving the contradiction through parameter optimization rather than fixed operation.
2Measurement precision
If more sensing devices are scheduled for target sensing, then sensing accuracy is improved, but impact on wireless communication increases
Solution Approach 1:
The patent applies local quality by selecting specific sensing devices based on their current traffic load and suitability for sensing tasks. Not all devices are used equally for sensing - instead, the system identifies and utilizes devices that are locally optimal for sensing while minimizing their communication impact. This resolves the contradiction by applying sensing resources locally where they provide maximum benefit with minimum harm.
Solution Approach 2:
The patent implements partial action by using only the necessary number of sensing devices required to achieve adequate sensing accuracy, rather than deploying all available devices. The sensing controller determines the minimum effective sensing configuration based on target status and communication conditions, avoiding excessive device utilization that would harm communication performance.
3Speed
If sensing message exchange frequency is increased, then sensing responsiveness is improved, but resource consumption increases
Solution Approach 1:
The patent implements periodic sensing message exchange with variable periods based on target status and communication conditions. Rather than continuous high-frequency exchange, the system uses periodic sensing updates that adapt their frequency - increasing responsiveness when targets are stationary or low-priority, and reducing frequency when resources are constrained or targets are high-priority. This resolves the contradiction through adaptive periodic operation.
Solution Approach 2:
The patent uses feedback mechanisms where the sensing controller monitors target status, communication conditions, and resource availability to dynamically adjust sensing message exchange frequency. This closed-loop control allows the system to maintain adequate responsiveness while optimizing resource consumption based on actual needs rather than fixed high-frequency operation.
Data Source
AI summary
The present disclosure provides a method for target sensing and a sensing controller performing the method. The method includes: scheduling a first sensing system with a first sensing configuration and a first group of sensing devices; receiving first information including first status information of a target; and in response to the first status information indicating that a status of the target meets a first predefined condition and/or that a traffic distribution of the plurality of sensing devices meeting a second predefined condition, scheduling a second sensing system with a second sensing configuration and a second group of sensing devices selected from the plurality of sensing devices, and receiving second information including second status information of the target, wherein the first group of sensing devices is different from the second group of sensing devices, and/or wherein the first sensing configuration is different from the second sensing configuration.