Wireless Sensing Signal Privacy Protection via Randomization
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Solution Overview
Problem
Existing wireless sensing technologies in 6G mobile communication expose user privacy due to publicly known signal structures, allowing unauthorized users to infer sensitive information, compromising privacy while maintaining sensing performance.
Innovation Solution
Generate and output at least two sensing signal flows, including a random signal flow and a second signal flow determined by a lowpass function, ensuring only authorized users can determine the wireless sensing result by sharing a group of random numbers, thus protecting privacy and maintaining sensing precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If publicly known signal structures are used for wireless sensing, then sensing performance is maintained, but user privacy is exposed allowing unauthorized users to infer sensitive information
Solution Approach 1:
The sensing signal is segmented into two distinct flows: a random signal flow that provides privacy protection and a lowpass-filtered signal flow that maintains sensing performance. This segmentation allows each signal component to serve its specific function independently, resolving the contradiction between privacy protection and sensing reliability
Solution Approach 2:
A lowpass function acts as an intermediary between the random signal and the sensing process. The lowpass function filters the random signal to extract useful sensing information while removing high-frequency components that would expose privacy, thereby mediating between privacy protection and sensing performance requirements
2Object-affected harmful factors
If random signals are used to protect privacy, then unauthorized users cannot determine sensing results, but sensing precision may be compromised
Solution Approach 1:
The system dynamically adjusts signal characteristics by applying different processing to different signal components. The random signal maintains its full randomness for privacy protection, while the lowpass-filtered component provides stable, precise sensing information. This dynamic differentiation resolves the contradiction between privacy protection and measurement precision
3Object-affected harmful factors
If complex signal processing is applied to protect privacy, then user privacy is protected, but implementation complexity increases
Solution Approach 1:
Instead of applying complex processing to the entire sensing signal, the system applies lowpass filtering only to the extent necessary to protect privacy while maintaining sensing performance. This partial action approach achieves privacy protection without unnecessarily increasing implementation complexity
Data Source
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AI summary
A wireless sensing method and an apparatus are disclosed, to protect user privacy while obtaining a wireless sensing result. The method includes: generating at least two sensing signal flows, where the at least two sensing signal flows include a first sensing signal flow and a second sensing signal flow, the first sensing signal flow is a random signal flow, and the second sensing signal flow is determined based on the first sensing signal flow and a lowpass function; and outputting the at least two sensing signal flows in each of a plurality of time units. The solution provided in embodiments of this application can protect privacy of authorized users, and has low implementation complexity.