Digital Twin Node Activation for Wireless Sensing Coverage

Solution Overview

Problem

Existing wireless sensing technologies lack efficient methods to optimize resource utilization by activating sensing nodes that can receive reflections from target objects, leading to suboptimal performance and resource waste.

Innovation Solution

Utilizing digital twin models to provide assistance data indicating modeled signal quality metrics for reflections from target objects, enabling sensing nodes to selectively activate and optimize resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If all sensing nodes are activated to ensure comprehensive coverage, then sensing reliability is improved, but energy consumption and resource utilization deteriorate

Engineering Contradiction:

Improvesensing reliabilityVSAvoidenergy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by using digital twin models to simulate and predict signal quality metrics before actual sensing operations. The assistance data is pre-computed based on digital twin representations of the environment, allowing sensing nodes to be selectively activated only when and where reflections are expected to occur, rather than activating all nodes continuously.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a digital twin copy of the physical environment to simulate and predict sensing outcomes. This virtual replica allows the system to evaluate potential sensing scenarios without physically activating all nodes, enabling intelligent selection of active nodes based on predicted signal quality from the digital twin model.

Inventive Principle:

Principle #26Copying

2Reliability

If all sensing nodes are activated to ensure comprehensive coverage, then sensing reliability is improved, but resource utilization deteriorates

Engineering Contradiction:

Improvesensing reliabilityVSAvoidresource utilization

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by using digital twin models to simulate and predict signal quality metrics before actual sensing operations. The assistance data is pre-computed based on digital twin representations of the environment, allowing sensing nodes to be selectively activated only when and where reflections are expected to occur, rather than activating all nodes continuously.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a digital twin copy of the physical environment to simulate and predict sensing outcomes. This virtual replica allows the system to evaluate potential sensing scenarios without physically activating all nodes, enabling intelligent selection of active nodes based on predicted signal quality from the digital twin model.

Inventive Principle:

Principle #26Copying

3Productivity

If sensing nodes are selectively activated based on digital twin assistance data, then resource utilization is improved, but system complexity increases

Engineering Contradiction:

Improveresource utilizationVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The digital twin model acts as an intermediary between the physical sensing environment and the node activation decision-making process. It provides assistance data that bridges the gap between available environmental information and sensing node selection, simplifying the complexity by centralizing the simulation and prediction functionality in a dedicated digital twin layer.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The sensing server performs multiple functions including digital twin model management, signal quality metric computation, assistance data generation, and node activation coordination. By consolidating these diverse functions in a single universal platform, the system manages complexity through functional integration rather than distributing complexity across multiple independent components.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260074747A1Digital twin-assisted sensing node activation for wireless sensing

Publication Date: 2026.03.12 QUALCOMM INC

AI summary

Disclosed are techniques for wireless sensing. In an aspect, a sensing node receives, from a sensing server, a configuration for a sensing session to detect one or more target objects, the configuration including one or more parameters defining the sensing session. The sensing node receives assistance data for the sensing session, wherein the assistance data is determined from a digital twin model of an environment of the sensing node, and wherein the assistance data indicates one or more modeled signal quality metrics of reflections from the one or more target objects of one or more sensing signals to be transmitted by one or more transmitter sensing nodes during the sensing session and received at one or more receiver sensing nodes.