Mobile Device Positioning Accuracy via Dynamic State Selection
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Solution Overview
Problem
Current wireless communication systems are inefficient in terms of bandwidth utilization and complexity due to the need for multiple state transitions and excessive assistance data requests during mobile device positioning, especially in Narrow Band IoT systems, where positioning measurements are performed in the idle state, leading to suboptimal accuracy and increased power consumption.
Innovation Solution
The proposed solution involves the mobile device selecting a reduced list of cells based on signal quality for positioning, requesting and receiving only updated assistance data, and performing positioning measurements in a connected state when capable, thereby reducing state transitions and data volume, and utilizing network nodes to store and manage assistance data changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If positioning measurements are performed in idle state, then power consumption is reduced, but positioning accuracy deteriorates
Solution Approach 1:
The patent implements dynamic state transitions between idle and connected states based on positioning requirements. The mobile device transitions to connected state only when positioning accuracy is needed, maintaining idle state otherwise. This dynamic adaptation resolves the contradiction by allowing the system to optimize between power consumption and positioning accuracy depending on operational context.
Solution Approach 2:
The patent changes the operational parameter (connection state) based on positioning needs. By controlling whether the device is in idle or connected state, the system can adjust between power efficiency and measurement precision. The network node controls this parameter change by sending messages to transition the device state appropriately.
2Reliability
If multiple state transitions are performed for positioning, then positioning capability is improved, but device complexity increases
Solution Approach 1:
The patent extracts the positioning function from the general device operation, allowing it to be performed independently in idle state when possible. By separating the positioning measurement capability from the connected state requirement, the system reduces overall complexity while maintaining positioning capability through selective extraction of this specific function.
Solution Approach 2:
The patent segments the positioning process into distinct phases: capability indication, assistance data exchange, and measurement execution. This segmentation allows each phase to be handled independently with appropriate state transitions, reducing complexity by breaking down the overall positioning task into manageable, isolated segments.
3Measurement precision
If assistance data is requested for all cells, then positioning accuracy is improved, but bandwidth utilization deteriorates
Solution Approach 1:
The patent applies local quality by providing assistance data selectively for specific cells rather than universally for all cells. The network node determines which cells are relevant for positioning and provides assistance data only for those local areas, optimizing the balance between positioning accuracy and bandwidth utilization through localized data provision.
Solution Approach 2:
The patent uses partial action by requesting and providing assistance data for only the necessary subset of cells rather than all cells in the network. This partial approach is sufficient to achieve positioning accuracy while significantly reducing the data volume and bandwidth consumption compared to providing complete cell information.
4Measurement precision
If positioning measurements are performed in connected state, then positioning accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic state selection where the mobile device operates in connected state only when positioning measurements are required, and transitions to idle state otherwise. This dynamic behavior allows the system to achieve high positioning accuracy when needed while minimizing power consumption during normal operation, resolving the contradiction through adaptive state management.
Data Source
AI summary
Methods, systems, and devices related to data transmission and accuracy for positioning User Equipment (UE) in a network are described. In one exemplary aspect, a method for wireless communication includes selecting, by a mobile device, one or more cells in a wireless network for facilitating a positioning of the mobile device in the wireless network. The method also includes transmitting, from the mobile device to a network node, a message to request assistance data corresponding to the one or more selected cells.