Map-Aided GNSS Low-Power Mode for Adaptive Fix Timing

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Solution Overview

Problem

Existing wireless communication systems, particularly 5G NR, face challenges in optimizing power consumption of Global Navigation Satellite System (GNSS) devices by inefficient management of radio frequency (RF) usage and time between fixes (TBF), leading to suboptimal power saving and engagement times.

Innovation Solution

The implementation of a method that determines low power modes based on map data, user equipment speed, and heading to adaptively adjust RF ON/OFF durations and time between fixes (TBF) in GNSS devices, incorporating three-dimensional map data for enhanced optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If RF usage and TBF are managed with fixed parameters, then device complexity is reduced, but power consumption cannot be optimized for varying user contexts and environmental conditions

Engineering Contradiction:

Improvepower consumptionVSAvoidparameter management complexity

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The patent implements dynamic adjustment of RF usage parameters and TBF based on real-time user context (speed, heading) and environmental conditions (map data, satellite visibility). The system transitions from fixed parameter management to adaptive parameter tuning, where low power mode parameters are continuously optimized according to changing operational conditions, thereby reducing power consumption without excessive complexity increase.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes physical parameters (RF ON/OFF duration, TBF values) based on measured conditions (user speed, heading, map data). By dynamically adjusting these parameters according to the operational context, the system optimizes power consumption across different scenarios while maintaining manageable complexity through structured parameter relationships.

Inventive Principle:

Principle #35Parameter changes

2Use of energy by moving object

If low power mode parameters are optimized for specific conditions, then power saving is improved, but adaptability to varying user contexts and environments deteriorates

Engineering Contradiction:

Improvepower savingVSAvoidadaptability to user context

Core Design Contradiction:

Use of energy by moving objectVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts low power mode parameters to match varying user contexts and environmental conditions. By continuously monitoring user speed, heading, and map data, the system adjusts RF usage patterns and TBF values to optimize power saving for each specific scenario, thereby achieving both condition-specific optimization and broad adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms where user context information (speed, heading) and environmental data (map information, satellite visibility) are continuously fed into the parameter optimization process. This feedback loop enables the system to adapt low power mode parameters in real-time, achieving both targeted power saving for specific conditions and versatility across diverse operating scenarios.

Inventive Principle:

Principle #23Feedback

3Use of energy by moving object

If map-aiding is used to extend low power engagement times, then power efficiency is improved, but positioning accuracy may deteriorate due to longer intervals between fixes

Engineering Contradiction:

Improvepower efficiencyVSAvoidpositioning accuracy

Core Design Contradiction:

Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by using map data to predict future positioning needs and pre-optimizing TBF values accordingly. By leveraging map-aiding information about the user's trajectory and environment, the system can extend low power engagement times while maintaining positioning accuracy through intelligent prediction of when positioning updates will be needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically changes TBF parameters based on map-aiding data, user speed, and heading information. By adjusting these parameters according to the predicted positioning requirements, the system extends low power engagement times without sacrificing positioning accuracy, as the TBF values are optimized to match the actual positioning needs derived from map context.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260019985A1Extended low power mode engagement using map-aiding

Publication Date: 2026.01.15 QUALCOMM INC

AI summary

Aspects presented herein may enable a UE to augment map data to determine the time between fix and/or the radio frequency ON duration for a low power saving mode. In one aspect, a UE determines a first set of parameters associated with a first low power mode based on (1) information from map data, (2) a speed of the UE, and (3) a heading of the UE. The UE compares the first set of parameters associated with the first low power mode with a second set of parameters associated with a second low power mode. The UE applies (1) the first low power mode based on one or more parameters in the first set of parameters exceeding the second set of parameters, or (2) the second low power mode based on the one or more parameters in the first set of parameters not exceeding the second set of parameters.