Tailoring Positioning Assistance Data to Mobile Device Capabilities
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Solution Overview
Problem
Existing indoor navigation systems face challenges in efficiently providing positioning assistance data to mobile devices with varying processing capabilities, leading to wasteful data transmission and resource consumption, as current methods do not adequately tailor data based on the device's capabilities, resulting in inefficient use of bandwidth and processing resources.
Innovation Solution
A method where mobile devices classify their processing platforms and request positioning assistance data tailored to their capabilities, with servers responding with appropriate data levels, such as fully computed radio heatmaps for low-end devices and raw data for advanced devices capable of inference, optimizing data transmission and processing loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If positioning assistance data is provided uniformly to all mobile devices regardless of capability, then all devices can receive positioning data, but data transmission bandwidth is wasted and processing resources are inefficiently consumed
Solution Approach 1:
The patent applies local quality by tailoring the positioning assistance data to match the specific processing capabilities of each mobile device. Low-end devices receive fully computed radio heatmaps, while advanced devices receive raw data for local inference. This customized approach ensures each device receives data at the appropriate detail level, optimizing bandwidth usage while maintaining positioning accuracy for each device class.
Solution Approach 2:
The patent changes the parameter of data processing completeness based on device capability. The server modifies the level of computation performed on positioning data before transmission - ranging from fully processed radio heatmaps for capability-constrained devices to minimally processed raw data for high-capability devices. This parameter adjustment resolves the contradiction by adapting data delivery to device-specific requirements.
2Measurement precision
If fully computed radio heatmap data is provided to all devices, then positioning accuracy is maintained, but data transmission volume increases and network bandwidth is consumed
Solution Approach 1:
The patent delivers different qualities of positioning data to different device classes. Advanced devices with high processing capability receive raw data with minimal processing, enabling them to achieve positioning accuracy through local inference while consuming less bandwidth. Low-end devices receive fully computed radio heatmaps to ensure positioning accuracy despite limited processing capability. This resolves the contradiction by matching data quality to device capability.
Solution Approach 2:
The patent extracts only the essential elements needed for positioning from fully computed radio heatmaps and provides them to advanced devices in raw form. By removing unnecessary pre-computation for capable devices, the system reduces data transmission volume while maintaining positioning accuracy through device-side inference. This extraction approach eliminates redundant data transmission for high-capability devices.
3Productivity
If raw data is provided to advanced devices for local inference, then data transmission is reduced, but device processing load increases
Solution Approach 1:
The patent dynamically assigns processing responsibilities based on device capability. Advanced devices are dynamically configured to perform local inference on received raw data, while low-end devices receive pre-computed results requiring minimal processing. This dynamic allocation optimizes the balance between network transmission efficiency and device processing load, matching computational tasks to available device resources.
Solution Approach 2:
The patent inverts the traditional approach by having advanced devices perform inference locally rather than receiving pre-computed results from the server. Instead of the server doing all the computation and sending results, capable devices reverse the processing flow by receiving raw data and performing inference themselves, thereby reducing network load while utilizing their superior processing capabilities.
4Loss of energy
If positioning data is customized according to device capability, then resource efficiency improves, but system complexity increases due to capability assessment and data differentiation
Solution Approach 1:
The patent performs preliminary assessment of device capability when the positioning request is first received. The server evaluates device characteristics in advance and determines the appropriate data format before generating and transmitting positioning assistance data. This preliminary classification simplifies the overall system by making a single determination that guides subsequent data processing, avoiding the need for complex runtime adjustments or multiple data generation pipelines.
Data Source
AI summary
Disclosed are processes, systems and apparatuses for providing positioning data, such as assistance data, to a mobile device for use in performing positioning or navigation operations. In particular implementations, the positioning data is based, at least in part, on particular capabilities of the mobile device, for example a processing platform of the mobile device. In other implementations, positioning data provided to a mobile device may be tailored according to a cost function.