Circular Directed Graph for Wireless Sensing Measurement
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Solution Overview
Problem
Current wireless communication systems face challenges in performing accurate radio-based sensing operations due to limitations in existing measurement techniques, particularly in resolving time and frequency differences between sensing signals.
Innovation Solution
The implementation of a method that utilizes a circular directed graph to perform sensing signal transmissions and measurements, where radio nodes form a directional circular graph to transmit and receive sensing signals, allowing for the determination of time and frequency differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensing measurement techniques are used, then the sensing operation can be performed, but the measurement accuracy is limited due to constant mismatches in time, frequency, and array orientation
Solution Approach 1:
The patent segments the sensing measurement process into multiple independent measurements taken from different radio nodes positioned at different locations. By dividing the overall sensing task into multiple partial measurements and combining them through the circular directed graph framework, the system achieves higher accuracy while compensating for individual node mismatches in time, frequency, and array orientation.
Solution Approach 2:
The patent merges multiple sensing measurements from different radio nodes by establishing a circular directed graph where measurements are combined through weighted aggregation. This combining process allows constant mismatches in individual measurements to be canceled out, improving overall measurement accuracy and reliability.
2Measurement precision
If multiple radio nodes perform sensing signal transmission and measurement, then measurement accuracy improves through error cancellation, but system complexity increases due to graph construction and coordination
Solution Approach 1:
The patent creates a universal framework where multiple radio nodes can simultaneously perform both sensing signal transmission and measurement functions. Each node in the circular directed graph serves multiple purposes: transmitting sensing signals, receiving signals from other nodes, and performing measurements. This multi-functionality reduces overall system complexity despite involving multiple nodes.
Solution Approach 2:
The circular directed graph structure establishes feedback loops where measurement results from one node inform the sensing operations of other nodes. The system uses the combined measurement values to refine and adjust sensing operations, creating a self-correcting mechanism that improves accuracy while managing complexity through iterative optimization.
Data Source
AI summary
Various aspects of the present disclosure relate to receiving a sensing configuration for performing a sensing signal transmission and at least one sensing measurement; performing at least one sensing measurement based on a first sensing signal; transmitting a second sensing signal in accordance with the sensing configuration, wherein the sensing configuration indicates a time difference between a reception of the first sensing signal and a time of transmission of the second sensing signal or a time reference, or a frequency difference between the reception of the first sensing signal and a transmission frequency of the second sensing signal or a frequency reference, or both; and transmitting a measurement report based at least in part on the at least one sensing measurement.