Crowdsourced Beam Relation Database for Wireless Positioning
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Solution Overview
Problem
Current positioning systems in wireless networks, particularly those using beamforming, lack efficient methods to determine the location of user equipment (UE) with consideration for UE preferences and do not effectively utilize beam-related data for improved positioning accuracy.
Innovation Solution
A crowdsourced beam relation database is created by collecting and associating beam information, including cell identifiers and signal parameters, from user equipment (UE) to determine positions and assist in positioning services, allowing for the use of this data to refine positioning methods and generate assistance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods are used without beam relation data, then the positioning system is simpler to implement, but positioning accuracy is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-establishing beam relation databases that map beam identifiers to geographical positions before actual positioning occurs. These databases are built by collecting beam information from multiple UEs and associating it with known positions, enabling rapid and accurate positioning without complex real-time calculations during actual location determination.
Solution Approach 2:
The patent uses beam relation databases as intermediary structures that mediate between raw beam measurements and final position calculations. The databases serve as pre-processed reference data that translates beam identifier measurements into position information, reducing the complexity of real-time positioning algorithms while improving accuracy through comprehensive beam-position mapping.
2Measurement precision
If beam relation crowdsourcing is implemented, then positioning accuracy is enhanced, but data collection and processing complexity increases
Solution Approach 1:
The patent implements self-service by enabling UEs to autonomously contribute to the beam relation database using their own measurements and known positions. Each UE automatically collects beam information, determines its own position, and provides this data to the database without requiring centralized coordination or manual data entry, thereby scaling data collection efficiently across the network.
Solution Approach 2:
The patent employs feedback mechanisms where the beam relation database continuously updates with new UE position and beam information, improving the positioning accuracy over time. The system leverages the collective feedback from multiple UEs to refine the database mappings, creating a self-improving positioning system that adapts to network conditions and enhances accuracy without requiring reconfiguration.
3Measurement precision
If multiple beam measurements are collected from UEs, then position fix quality improves, but the amount of data to be processed increases
Solution Approach 1:
The patent extracts only the essential beam identification information and associated position data from the full set of measurements. By focusing on beam identifiers and their corresponding positions rather than processing all raw measurement signals, the system reduces data volume while maintaining position fix quality. The extraction of key features (beam ID and position) from comprehensive measurements enables efficient storage and processing.
Solution Approach 2:
The patent segments the positioning data into discrete beam relation records, where each record associates a specific beam identifier with a geographical position. This segmentation allows the system to manage large amounts of data through structured, atomic records that can be efficiently queried and processed. The segmentation of beam information into manageable units enables scalable data handling while maintaining high position fix quality through comprehensive coverage.
Data Source
AI summary
In a wireless network in which beams are transmitted by base stations, a beam relation database may be produced by crowdsourcing known positions of UEs and associated information related to beams received by the UEs at these positions. The beam information, for example, may include a beam identifier and cell identifier, and may further include measured signal parameters, such as Reference Signal Received Power (RSRP) or Reference Signal Received Quality (RSRQ). The beam relation database may be used by a network or the UE to determine a position of a UE based on beams that are detected by the UE. The position fix may be an initial position fix that may be used to generate assistance data for the UE. Additionally, the beam relation database may be used to identify relevant measurement objects in the assistance data based on beams that are detected by the UE.