UL-OFDMA Wi-Fi Sensing With Adaptive Uplink Resource Allocation
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Solution Overview
Problem
Existing Wi-Fi sensing systems lack efficient and flexible mechanisms for soliciting sensing transmissions from remote devices, leading to suboptimal performance and inefficiencies in motion detection and other applications.
Innovation Solution
Implementing uplink orthogonal frequency division multiple access (UL-OFDMA) to allocate channel resources dynamically based on the identification of features of interest, allowing for optimized sensing transmissions and improved detection capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional Wi-Fi sensing systems use fixed channel resource allocation, then system simplicity is maintained, but sensing efficiency and adaptability deteriorate
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 measurements and identified features of interest. This dynamic adjustment optimizes sensing efficiency by allocating more resources to transmitters providing valuable sensing data while reducing resources for others, resolving the contradiction between productivity and device complexity.
Solution Approach 2:
The system changes the parameter of channel resource allocation from fixed to variable based on sensing performance. The sensing receiver modifies allocation parameters (number of resource units) according to the quality of sensing measurements and the importance of different transmitters for detected features, thereby improving sensing efficiency without requiring fundamentally complex allocation mechanisms.
2Measurement precision
If Wi-Fi sensing systems perform comprehensive measurements from all transmitters, then detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by allocating channel resources selectively rather than uniformly to all sensing transmitters. The sensing receiver identifies which transmitters provide the most valuable measurements for features of interest and allocates resources accordingly, achieving high detection accuracy with reduced total energy consumption by not fully utilizing all available transmitters at all times.
Solution Approach 2:
Different channel resource allocations are applied to different sensing transmitters based on their individual contribution to sensing measurements. Transmitters that provide more valuable data receive more resources while others receive fewer or no resources, creating a non-uniform local quality distribution that optimizes the balance between detection accuracy and energy consumption.
3Reliability
If channel resources are allocated uniformly to all sensing transmitters, then fairness is maintained, but sensing performance deteriorates
Solution Approach 1:
The system changes the allocation parameter from uniform to differentiated based on sensing performance requirements. The sensing receiver adjusts the number of resource units allocated to each transmitter according to the quality of measurements received and the importance of each transmitter for detecting features of interest, thereby improving sensing performance while introducing necessary flexibility.
Solution Approach 2:
The resource allocation is made dynamic rather than static, allowing the sensing receiver to adapt allocations in response to changing sensing conditions and identified features. This dynamic approach enables the system to optimize sensing performance by reallocating resources to the most valuable transmitters while maintaining the ability to respond to different sensing scenarios.
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.