Reference Signal AoD Mapping for Accurate UE Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in accurately determining angles of departure (AoDs) for reference signals, which are crucial for precise positioning of user equipment (UEs), leading to inefficiencies in spectral efficiency and increased latency.
Innovation Solution
A method is introduced where user equipment (UEs) receive configurations of reference signals and transmit codebooks, determining measurements and mappings to angles of departure (AoDs) based on field testing or crowd-sourcing, and transmitting these mappings to position estimation entities, utilizing various types of reference signals and measurements like PMIs, RSRP, and TOA, to enhance positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference signals are transmitted without precise AoD mapping, then device complexity is reduced, but positioning accuracy deteriorates
Solution Approach 1:
The patent pre-establishes mapping relationships between reference signal measurements and angles of departure through field testing and crowd-sourcing before actual positioning operations. This preliminary action allows the UE to use pre-computed mapping tables rather than performing complex real-time calculations, thereby achieving high positioning accuracy without increasing operational complexity
Solution Approach 2:
The patent creates a simplified copy of the complex AoD estimation process by using pre-computed mapping relationships. Instead of requiring the UE to perform complex signal processing to determine AoD, the system uses pre-established mapping tables that translate reference signal measurements directly into AoD values, reducing computational complexity while maintaining accuracy
2Measurement precision
If multiple reference signals are measured to improve positioning accuracy, then measurement precision improves, but device complexity and processing time increase
Solution Approach 1:
The patent segments the complex task of determining AoD into separate, manageable components by measuring multiple reference signals independently and then combining their results through pre-established mapping relationships. This segmentation allows the UE to process each reference signal separately using simple measurement procedures, avoiding the need for complex joint processing of multiple signals
3Measurement precision
If field testing and crowd-sourcing are used to establish mappings, then positioning accuracy improves, but time and resources required for mapping creation increase
Solution Approach 1:
The patent performs extensive field testing and crowd-sourcing activities during the development phase to pre-establish accurate mapping relationships between reference signal measurements and AoD values. This preliminary action concentrates the time-consuming mapping creation work before the system is deployed, allowing the actual positioning operations to proceed quickly using the pre-computed mappings
Solution Approach 2:
The patent leverages crowd-sourcing to enable the system to self-improve its mapping accuracy by collecting data from multiple users and environments. This self-service approach allows the mapping relationships to be automatically refined through aggregated real-world measurements without requiring continuous manual calibration or re-testing
Data Source
AI summary
In an aspect, a UE determines a mapping a mapping between (i) one or more measurements of one or more reference signals based on one or more transmit codebooks and (ii) one or more angles of departure (AoDs) associated with transmission of the one or more reference signals. The UE transmits an indication of the mapping to a position estimation entity. The position estimation entity determines a positioning estimate of the UE based at least in part upon the one or more AoDs.