UL-OFDMA Wi-Fi Sensing with Dynamic Resource Allocation
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Solution Overview
Problem
Existing Wi-Fi sensing systems lack efficient and flexible mechanisms for soliciting remote device transmissions optimized for motion detection, presence detection, and other sensing requirements, leading to suboptimal performance and inefficiencies in channel sounding protocols.
Innovation Solution
Configuring Wi-Fi systems to perform Wi-Fi sensing using uplink orthogonal frequency division multiple access (UL-OFDMA) by allocating channel resources to sensing transmitters, generating sensing measurements, and optimizing transmission modes for feature detection, including scanning and detection modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional Wi-Fi sensing protocols are used, then motion detection and presence detection can be performed, but the channel resource allocation is inefficient and lacks flexibility for different sensing requirements
Solution Approach 1:
The patent implements dynamic channel resource allocation where the sensing receiver adjusts the number of resource units allocated to each sensing transmitter based on real-time sensing requirements. The system transitions from static allocation to dynamic allocation, allowing the channel resources to be flexibly adjusted according to different sensing modes (scanning vs. detection) and features of interest, thereby resolving the contradiction between adaptability and productivity.
Solution Approach 2:
The patent changes the parameter of channel resource allocation by varying the number of resource units assigned to different sensing transmitters. The sensing receiver modifies allocation parameters dynamically - allocating more resources during scanning mode to cover more transmitters, and concentrating resources on specific transmitters during detection mode, thus achieving both flexibility and efficiency.
2Measurement precision
If channel resources are allocated to all sensing transmitters, then comprehensive sensing coverage is achieved, but energy consumption increases and redundant measurements occur
Solution Approach 1:
The patent applies local quality by allocating channel resources non-uniformly across different sensing transmitters. Instead of giving equal resources to all transmitters, the system identifies features of interest and allocates more resources to transmitters associated with those features, while reducing or eliminating resources for transmitters not contributing to current sensing goals, thereby reducing redundant measurements and energy consumption while maintaining detection accuracy.
Solution Approach 2:
The patent implements partial action by allocating channel resources only to the subset of sensing transmitters that are currently needed for specific sensing tasks. Rather than activating all transmitters continuously, the system selectively engages only those transmitters relevant to the current feature of interest, reducing overall energy consumption while maintaining necessary measurement precision.
3Productivity
If scanning mode uses equal resource allocation, then all areas are covered, but detection mode requires optimized allocation to improve measurement precision
Solution Approach 1:
The patent implements dynamic switching between two allocation strategies: during scanning mode, it uses equal resource allocation to ensure comprehensive area coverage and high productivity; during detection mode, it transitions to optimized non-uniform allocation to improve measurement precision for specific features of interest. This dynamic adaptation resolves the contradiction between productivity and precision.
Data Source
AI summary
Systems and methods for Wi-Fi sensing using UL-OFDMA are provided. Wi-Fi sensing systems include sensing devices and sensing transmitters configured to communicate through radio-frequency signals. Initially, first channel resources are allocated to first expected transmissions from the sensing transmitters and first sensing trigger message to trigger first series of sensing transmissions from the sensing transmitters is transmitted. Further, a first series of sensing transmissions is received, and the first series of sensing measurements are generated. Thereafter, identification of feature of interest is obtained and a selection of sensing transmitters is determined. Second channel resources are allocated to second expected transmissions from the selection of sensing transmitters. A second sensing trigger message to trigger a second series of sensing transmissions from the selection of the sensing transmitters is provided. A series of sensing transmissions is received, and a second series of sensing measurements is generated based on the second series of sensing transmissions.