Environment Learning Server for RF Sensing and Positioning Accuracy

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Solution Overview

Problem

Existing wireless communication systems, particularly in the context of 5G networks, face challenges in efficiently utilizing environment information from network nodes to enhance RF sensing and positioning, leading to suboptimal performance in RF sensing and positioning accuracy.

Innovation Solution

An environment learning server (ELS) is introduced to transmit requests to network nodes for environment information, receive reports, and update an environment database, enabling improved RF sensing and positioning by integrating environment-specific data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If environment information is collected from network nodes, then RF sensing and positioning accuracy is improved, but system complexity increases

Engineering Contradiction:

ImproveRF sensing and positioning accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

An environment learning server is introduced as an intermediary component between network nodes and the RF sensing system. This server collects environment information from multiple network nodes, processes the data, and provides enhanced environment models to improve positioning accuracy without increasing the complexity at individual network nodes

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system is segmented into distinct functional components: network nodes that collect basic environment data, an environment learning server that processes and analyzes this data, and a positioning system that utilizes the processed information. This segmentation allows each component to remain relatively simple while the overall system achieves high accuracy

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If environment database is updated with realistic representations, then positioning performance is improved, but data processing time increases

Engineering Contradiction:

Improvepositioning performanceVSAvoiddata processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The environment learning server performs preliminary processing of environment information by collecting and pre-processing data from multiple network nodes before the actual positioning operations. This advance preparation reduces the processing burden during real-time positioning, thereby reducing overall data processing time while maintaining high positioning performance

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously updates the environment database with the latest environment information from network nodes. This continuous update mechanism ensures that the database always contains current and accurate environment representations, improving positioning performance without requiring periodic reprocessing of historical data

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20260046834A1Environment learning network functionality

Publication Date: 2026.02.12 QUALCOMM INC

AI summary

Disclosed are techniques for wireless communication. In some aspects, an environment learning server (ELS) may transmit, to one or more network nodes, a request to obtain environment information of an environment of the one or more network nodes. The ELS may receive, from each of the one or more network nodes, an environment report including environment information of the environment obtained by each of the one or more network nodes. The ELS may update an environment database based on the environment information.