Wireless Sensing Electromagnetic Profiling for Object Tracking
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Solution Overview
Problem
Current wireless communication networks face challenges in accurately tracking stationary and mobile objects within environments due to interference and the difficulty in monitoring low-velocity objects, which affects operational efficiency and safety, especially in crowded settings like warehouses.
Innovation Solution
A sensing system that configures network entities to perform sensing operations by transmitting scan signals, aggregating data over multiple beams, and generating reports indicating electromagnetic profiles, allowing for enhanced object tracking while conserving computational resources and power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless communication networks are used for object tracking, then basic communication services are provided, but tracking accuracy deteriorates due to interference and difficulty in monitoring low-velocity objects
Solution Approach 1:
The patent segments the tracking function into two distinct modes: communication-based tracking for mobile objects and sensing-based electromagnetic profiling for stationary or low-velocity objects. This segmentation allows each mode to be optimized independently, with sensing operations using multiple beams and aggregated data specifically for stationary objects, while communication operations handle mobile objects, thereby resolving the contradiction between tracking accuracy and reliability across different object types
Solution Approach 2:
The network entity (base station) is designed to perform multiple functions: traditional wireless communication and sensing operations for electromagnetic profiling. By integrating sensing capabilities into the base station, the system achieves multi-functionality that enables accurate tracking of both mobile and stationary objects using the same infrastructure, improving both measurement precision and reliability without requiring separate systems
2Measurement precision
If sensing operations are performed continuously to track all objects, then tracking accuracy improves, but power consumption and computational resources increase
Solution Approach 1:
The system dynamically adapts the sensing operation intensity based on object characteristics. For stationary objects, it performs aggregated sensing over multiple beams with longer integration times. For mobile objects, it relies on communication-based tracking with less intensive sensing. This dynamic adjustment of sensing intensity based on object velocity and movement patterns maintains detection accuracy while optimizing power consumption and computational resource usage
Solution Approach 2:
The patent segments the sensing workload by object type: stationary objects receive intensive aggregated sensing over multiple beams, while mobile objects are tracked using lighter communication-based methods. This segmentation prevents unnecessary intensive sensing for all objects, thereby reducing overall power consumption and computational resources while maintaining accurate detection for stationary objects where it is most needed
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively tracks objects within environments by generating accurate electromagnetic profiles, improving operational efficiency and safety while reducing power and computational resource consumption.
Implementation Method 1
initiating transmission of a plurality of transmitted scan signals... transmitting a report that indicates an electromagnetic signature of the environment based on the aggregated data
Data Source
AI summary
This disclosure provides systems, methods, and devices for wireless communication that support a sensing operation. In a first aspect, a method of wireless communication includes transmitting a configuration associated with a sensing operation. The method also includes receiving, from a network entity, a report based on the sensing operation performed by the network entity and that indicates an electromagnetic profile associated with an environment. Other aspects and features are also claimed and described.