Ranging-Assisted Pedestrian Localization with Shared UE Measurements
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Solution Overview
Problem
Existing pedestrian localization methods in wireless communication systems face challenges in efficiently determining the position of pedestrians, particularly due to the need for individual ranging operations from vehicle user equipment (VUE) to multiple pedestrian user equipment (PUE), which can drain battery life and increase signaling congestion.
Innovation Solution
A method where a pedestrian user equipment (PUE) performs ranging operations to a subset of user equipment (UEs) and provides the ranging data to a vehicle user equipment (VUE) or a road-side unit (RSU), allowing for more efficient localization of pedestrians by reducing the number of ranging operations required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual ranging operations are performed from VUE to multiple PUEs, then pedestrian localization can be achieved, but battery consumption increases and signaling congestion occurs
Solution Approach 1:
Multiple PUEs perform ranging operations simultaneously to a common target VUE, merging their measurements into a shared localization result. This combines the computational and measurement burden across multiple devices rather than requiring the VUE to individually range to each PUE, reducing overall battery consumption while maintaining localization accuracy.
Solution Approach 2:
The ranging operation is designed to serve multiple purposes: each PUE's ranging measurement contributes not only to its own localization but also to the localization of other PUEs through shared processing at the VUE or RSU. This multi-functional approach reduces redundant measurements and signaling overhead.
2Measurement precision
If individual ranging operations are performed from VUE to multiple PUEs, then pedestrian localization can be achieved, but signaling congestion increases
Solution Approach 1:
Multiple PUEs combine their ranging measurements and share results through a common communication channel to the VUE or RSU, reducing the total number of separate signaling transactions. This merging approach consolidates the signaling load compared to individual VUE-to-PUE ranging operations.
Solution Approach 2:
PUEs autonomously perform ranging operations and generate measurements without requiring individual request-response cycles from the VUE. This self-service approach reduces signaling overhead by eliminating redundant control messages while still achieving accurate localization through shared processing.
3Use of energy by moving object
If PUE performs ranging operations to a subset of UEs, then battery consumption is reduced, but localization accuracy must be maintained
Solution Approach 1:
Each PUE performs ranging operations to only a subset of other UEs rather than all possible targets, implementing partial action that reduces battery consumption. The system compensates for this reduced individual effort by aggregating measurements from multiple PUEs, each contributing partial data that collectively achieves complete and accurate localization for all participants.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a method of wireless communication performed by a first pedestrian user equipment (PUE) includes performing a ranging operation to a set of UEs, the set including at least a second PUE, and providing ranging data to a third entity, the third entity comprising a vehicle user equipment (VUE) or a road-side unit (RSU). The set of UEs may be randomly selected or selected using a selection algorithm. The set of UEs may be selected by the PUE or by the third entity. The ranging data may include the location of the first PUE, and may include a report on the battery status of the first PUE. The third entity may use the ranging data to update estimated positions of the first PUE and the set of UEs.