Context-Aware Positioning Selection for Reliable, Low-Power Navigation
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face inefficiencies in power consumption due to inappropriate selection of positioning technologies based on environmental factors, leading to battery drainage and unreliable location determination, especially in dense urban or rural environments.
Innovation Solution
Devices are provided with preconfigured positioning technology indications based on expected environments or route segments, allowing them to optimize power consumption by selecting suitable methodologies for location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices use positioning technologies without environmental context awareness, then location determination can be performed, but power consumption increases and reliability decreases in dense urban or rural environments
Solution Approach 1:
The system performs preliminary actions by pre-configuring positioning technology indications for different environmental scenarios before the device actually needs positioning. The server provides pre-determined positioning technology recommendations based on predicted environments or route segments, allowing the device to select appropriate positioning methods in advance rather than reacting after entering complex environments, thus optimizing power consumption while maintaining reliability.
Solution Approach 2:
The system implements feedback mechanisms where the server receives location information from the device and uses this feedback to determine appropriate positioning technologies for future positioning requests. The server analyzes the device's movement patterns and environmental context, providing feedback in the form of positioning technology indications that adapt to the device's actual usage conditions, thereby improving both reliability and power efficiency.
2Measurement precision
If devices continuously monitor location without considering environmental factors, then location tracking is maintained, but power consumption increases
Solution Approach 1:
The system applies dynamics by making the positioning technology selection adaptive and flexible rather than static. The server dynamically determines which positioning technologies to recommend based on real-time or historical location information, predicted environments, and route segments. This dynamic adaptation allows the system to switch between high-precision but power-intensive positioning methods and more power-efficient methods based on current operational conditions, optimizing the balance between measurement precision and power consumption.
Solution Approach 2:
The system changes parameters by adjusting positioning technology selections based on environmental context and device state. The server modifies positioning parameters such as accuracy requirements, update frequencies, and technology types according to the device's location history, predicted environment, and power consumption constraints. This parameter adjustment enables the system to maintain sufficient location precision while significantly reducing power consumption by avoiding unnecessary high-precision positioning in appropriate environments.
3Use of energy by moving object
If inappropriate positioning technologies are selected based on environmental factors, then power consumption is optimized, but location determination becomes unreliable
Solution Approach 1:
The server acts as an intermediary between the device and positioning technology selection. It receives location information from the device, analyzes environmental context and predicted environments, and mediates by providing informed positioning technology indications. This intermediary role allows the server to use its computational resources to determine optimal positioning technologies, combining reliability and power efficiency without burdening the device with complex decision-making logic.
Solution Approach 2:
The system achieves universality by creating a multi-functional positioning framework that can handle various environmental scenarios through a single integrated approach. The server provides universal positioning technology indications that work across different environments (urban canyons, rural areas, indoor locations) by analyzing location history and predicted environments. This universal solution allows the same framework to optimize both power consumption and reliability across diverse positioning scenarios without requiring environment-specific custom logic at the device level.
Data Source
AI summary
Aspects presented herein relate to methods and devices for wireless communication including an apparatus, e.g., a device, a server, or a network entity. The apparatus may obtain an indication of at least one of device information associated with the device or route information associated with one or more route segments for the device. Additionally, the apparatus may perform a ranging process with a second device based on at least one of the device information associated with the device or the route information associated with the one or more route segments, where the ranging process is associated with an identification of at least one of the device or a location of the device.