Self-Aware Interference Measurement for UE Sensing Signals

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Solution Overview

Problem

The presence of sensing signals in wireless communication bands causes interference at other devices, leading to excessive noise and negatively impacting the efficiency and reliability of wireless communications.

Innovation Solution

A user equipment (UE) measures signals received from a potential 'victim' UE to estimate interference attributable to its own sensing signals, determines pathloss, and adjusts its transmission parameters to mitigate the interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If sensing signals are transmitted in wireless communication bands, then sensing applications can be carried out, but interference is caused to other wireless devices resulting in excessive noise

Engineering Contradiction:
Improvesensing application capabilityVSAvoidinterference and noise at victim UE
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The sensing UE measures reference signals or uplink signals from the victim UE, estimates the interference caused by its own sensing signals, and uses this feedback information to adjust its transmission parameters. This closed-loop feedback mechanism enables the sensing UE to adapt its sensing signal transmission to minimize interference while maintaining sensing application functionality.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The sensing UE dynamically changes transmission parameters such as power level, time resources, or frequency resources based on measured interference conditions. By adjusting these parameters, the sensing UE can reduce interference to the victim UE while still achieving its sensing application objectives.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If interference measurement and adjustment mechanisms are implemented, then interference management is improved, but device complexity increases

Engineering Contradiction:
Improveinterference management effectivenessVSAvoidmeasurement and processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The sensing UE performs self-measurement of interference by measuring signals from the victim UE and autonomously estimates the impact of its own sensing signals. This self-service approach eliminates the need for complex network-side interference measurement infrastructure, reducing overall system complexity while maintaining reliable interference management.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent uses reference signals or uplink signals from the victim UE as intermediaries to indirectly measure the interference caused by sensing signals. Instead of directly measuring the sensing signal interference at the victim UE, the system uses these intermediary signals to infer interference levels, simplifying the measurement process.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12500643B2Techniques for self-awareness based interference measurement of sensing signals
Publication Date: 2025.12.16 QUALCOMM INC
  • US12500643B2 patent drawing
  • US12500643B2 patent drawing
  • US12500643B2 patent drawing

AI summary

Methods, systems, and devices for wireless communications are described. A first user equipment (UE) may identify a set of interference measurement resources associated with signals received from a second UE. The first UE may perform one or more measurements on one or more signals received from the second UE within the set of interference measurement resources, and determine interference at the second UE associated with sensing signals transmitted by the first UE based on the one or more measurements. The first UE may compare the interference at the second UE to one or more thresholds, each associated with a respective sensing application at the first UE. The first UE may then transmit one or more sensing signals in accordance with respective sets of sensing signal parameters based at least in part on the comparing.