Sidelink PRS Sequence Selection for Collision Avoidance
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Solution Overview
Problem
Current wireless communication systems, particularly in the context of 5G, face challenges in efficiently managing sidelink positioning reference signals (PRS) for accurate positioning in vehicular environments, leading to potential collisions and inefficiencies in resource allocation.
Innovation Solution
The method involves determining a sidelink zone identifier and selecting an appropriate positioning reference signal (PRS) sequence for transmission, which can be network-configured or randomly selected, and includes mechanisms for detecting collisions and retransmitting on a different sequence to ensure efficient sidelink PRS transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sidelink PRS sequences are transmitted on a common frequency layer without zone-based differentiation, then resource allocation is simplified, but signal collisions increase and positioning accuracy deteriorates
Solution Approach 1:
The service area is segmented into multiple sidelink zones, each assigned unique zone identifiers. UEs in different zones transmit PRS sequences with different zone-based sequence identifiers, enabling spatial differentiation and collision avoidance while maintaining simplified resource allocation within each zone.
Solution Approach 2:
Different PRS sequence characteristics are assigned to different sidelink zones based on local conditions. Each zone uses PRS sequences tailored to its specific geographic area, allowing optimal positioning performance in each local region while maintaining overall system coordination.
2Reliability
If zone-based PRS sequence identification is implemented, then collision avoidance improves, but determination complexity increases
Solution Approach 1:
Zone identifiers and associated PRS sequence parameters are pre-configured and stored in UE memory before operation. When a UE enters a sidelink zone, it retrieves the appropriate zone identifier from pre-stored information based on simple zone ID comparison, avoiding complex real-time determination and reducing processing complexity.
Solution Approach 2:
A position estimation entity acts as an intermediary that receives zone identifier information from UEs and performs centralized PRS sequence identification and collision detection. This intermediary handles the complex determination logic centrally, reducing the burden on individual UEs and improving overall system reliability.
3Productivity
If fixed PRS resource pools are allocated to specific zones, then resource allocation efficiency improves, but adaptability to dynamic traffic conditions decreases
Solution Approach 1:
PRS resource pool assignments are made dynamic rather than fixed. The position estimation entity can dynamically allocate and reassign PRS resource pools to different sidelink zones based on real-time traffic conditions, UE density, and positioning requirements, allowing the system to adapt to changing conditions while maintaining efficient resource utilization.
Solution Approach 2:
The system allows dynamic modification of PRS resource pool parameters including time-frequency resource allocation, sequence identifiers, and zone assignments. These parameters can be changed in response to varying traffic conditions, enabling the system to optimize resource allocation efficiency while maintaining adaptability to different operational scenarios.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a PRS sequence is determined based in part on a sidelink zone where a transmitting UE is located. A receiving UE may perform a blind search based on PRS sequence(s) associated with its own sidelink zone and/or neighboring sidelink zones. In other aspects, measurement reports may be conveyed to a position estimation entity with positioning measurements being associated with respective PRS sequences, which can then be correlated to the respective transmitting UEs at the position estimation entity so as to facilitate position estimation of a target UE.