Wi-Fi Sensing Sounding Device Selection for Dynamic Coverage
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Solution Overview
Problem
Existing Wi-Fi sensing systems face challenges in efficiently selecting and updating a set of sounding devices to optimize network performance and coverage in dynamic environments.
Innovation Solution
The method involves identifying and establishing a set of sensing links based on power variations and space coverage metrics, updating these links based on congestion and channel resource allocation, and adapting device selection based on network utilization and physical parameters like TD-CRI profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed set of sounding devices is used for Wi-Fi sensing, then the system implementation is simple, but the sensing coverage and accuracy deteriorate in dynamic environments
Solution Approach 1:
The patent implements dynamic selection of sounding devices based on real-time channel conditions, power variations, and sensing space coverage requirements. The system continuously monitors channel state information (CSI) and adjusts the set of sounding devices adaptively, transitioning from a static configuration to a dynamic one that responds to environmental changes, thereby improving sensing coverage without requiring complete redeployment of devices.
Solution Approach 2:
The system changes key parameters such as the set of active sounding devices, sensing links, and resource allocation based on monitored conditions including power variations, channel congestion, and coverage metrics. By modifying these parameters dynamically, the system optimizes sensing performance in response to changing environmental conditions while managing complexity through structured parameter management.
2Area of stationary object
If multiple sounding devices are deployed to improve coverage, then sensing space coverage is improved, but network congestion and resource contention increase
Solution Approach 1:
Instead of deploying all available devices simultaneously for sensing, the system selects a partial set of sounding devices based on current coverage requirements and network conditions. This partial action approach ensures sufficient sensing coverage while limiting the number of active sensing transmissions, thereby reducing network congestion and resource contention.
Solution Approach 2:
The system dynamically adjusts the number and selection of sounding devices based on real-time monitoring of network congestion levels and coverage requirements. When congestion is detected, the system reduces the number of active sounding devices or adjusts their transmission parameters, thereby maintaining adequate coverage while mitigating harmful congestion effects.
3Measurement precision
If frequent updates of sounding device selection are performed to adapt to changing conditions, then sensing accuracy is improved, but system overhead and processing complexity increase
Solution Approach 1:
The system performs periodic updates of the sounding device selection and sensing link configuration based on monitored channel conditions and power variations. By using periodic action with appropriately tuned update intervals, the system achieves sufficient sensing accuracy to track environmental changes while avoiding excessive updates that would increase processing complexity and overhead.
Solution Approach 2:
The system implements feedback mechanisms that monitor sensing performance, channel conditions, and power variations to trigger updates of the sounding device selection. This feedback-driven approach ensures sensing accuracy is maintained by updating only when necessary, thereby reducing unnecessary processing complexity while responding to actual changes in the sensing environment.
4Reliability
If comprehensive monitoring of sensing transmissions is performed to optimize link selection, then link reliability is improved, but processing time and energy consumption increase
Solution Approach 1:
The system extracts and monitors only the most critical parameters for link reliability assessment, such as power variations and channel state information, rather than performing comprehensive analysis of all transmission parameters. This selective monitoring approach maintains sensing link reliability while reducing processing time and energy consumption by focusing on the most influential factors.
Data Source
AI summary
Systems and methods for Wi-Fi sensing are provided. Wi-Fi systems include a plurality of networking devices including a plurality of sensing capable devices and an access point. The Wi-Fi systems are configured for identifying a candidate set of the plurality of networking devices, establishing a plurality of candidate sensing links between the plurality of candidate devices and the access point, monitoring sensing transmissions transmitted via the plurality of candidate sensing links, identifying a sensing link set according to the sensing transmissions, establishing the plurality of selected sensing links between selected devices of the plurality of candidate devices and the access point. Wi-Fi systems are further configured for updating sensing links according to detected sensing transmissions. Wi-Fi systems may be configured to identify sensing links according to sensing sounding information and/or a plurality of time-domain channel representation information (TD-CRI) profile sets between candidate sensing links.