Sidelink Position Estimation via SRS-P Pool Coordination
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately estimating the position of user equipment (UEs) in sidelink communications, particularly in scenarios requiring high precision and efficiency.
Innovation Solution
A method for sidelink-assisted position estimation involves identifying a pool of UEs, determining resource configurations for sounding reference signals (SRS-P), and transmitting these signals to determine position estimates based on measurements received from multiple UEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional uplink-only positioning methods are used, then the system complexity is low, but the position estimation accuracy deteriorates in sidelink communication scenarios
Solution Approach 1:
The positioning procedure is segmented into multiple phases: network-configured resource allocation for SRS-P transmission, sidelink measurement collection from multiple UEs, and centralized position estimation. This segmentation allows the system to achieve high accuracy through multi-UE measurements while managing complexity through structured resource configuration and phased execution.
Solution Approach 2:
A location server acts as an intermediary that receives measurement information from multiple UEs via the network and computes position estimates. This intermediary approach enables accurate position estimation by aggregating measurements from multiple sources while centralizing the complex computation, thus improving accuracy without proportionally increasing overall system complexity.
2Measurement precision
If multiple UEs perform sidelink measurements for position estimation, then the position estimation accuracy improves, but the signaling overhead increases
Solution Approach 1:
The network pre-configures resource allocations for SRS-P transmission and sidelink measurements before the actual positioning procedure. By establishing resource patterns, frequency allocations, and time slots in advance, the system enables multiple UEs to perform measurements efficiently without requiring extensive real-time signaling, thus reducing signaling overhead while maintaining measurement accuracy.
Solution Approach 2:
The system dynamically adjusts positioning parameters such as SRS-P resource allocation, measurement frequency, and reporting intervals based on network conditions and UE capabilities. This parameter optimization allows the system to achieve high position estimation accuracy with minimized signaling overhead by adapting the measurement and reporting processes to actual operational requirements.
3Productivity
If SRS-P resources are allocated for sidelink positioning, then the position estimation efficiency improves, but the resource consumption increases
Solution Approach 1:
The system allocates SRS-P resources selectively to only those UEs that require positioning services, rather than configuring resources for all UEs in the network. This partial action approach maintains high position estimation efficiency for target UEs while minimizing overall resource consumption by excluding non-target UEs from the positioning resource allocation.
Solution Approach 2:
Positioning measurements and SRS-P transmissions are performed periodically at optimized intervals rather than continuously. The period is adjusted based on UE mobility, service requirements, and network conditions, enabling efficient position estimation while reducing resource consumption by avoiding unnecessary measurements and transmissions during stable conditions.
Data Source
AI summary
In an aspect, a position estimation entity (e.g., UE, gNB, LMF, etc.) identifies a pool of UEs for a SL-assisted position estimation procedure of a set of target UEs. SL SRS-Ps are communicated (e.g., transmitted and measured) between the pool of UEs (e.g., for relative SL ranging). UL SRS-Ps are communicated by at least some of the UEs in the pool of UEs. The position estimation entity obtains measurement data for both the SL SRS-P and UL-SRS-P communications. The position estimation entity determines a position estimate for each UE in the set of UEs based on the measurement information.