5G Positioning Assistance Data Segmentation for Accuracy and Complexity
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Solution Overview
Problem
In 5G mobile communication systems, existing technologies face challenges in accurately performing positioning based on various assistance data, particularly in IoT networks and machine communication services, where precise terminal positioning is crucial but not adequately supported by current techniques.
Innovation Solution
The solution involves receiving and processing different types of assistance data from a base station, including type1, type2, and type3 assistance data, which contain specific information elements and validity information, to determine the validity of positioning data and configure signaling radio bearers for accurate positioning in both RRC_CONNECTED and RRC_INACTIVE states, utilizing NR Cell Global Identifier and SuspendConfig for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning is performed using multiple types of assistance data in 5G systems, then positioning accuracy is improved, but device complexity and data processing overhead increase
Solution Approach 1:
The patent segments assistance data into three distinct types (type1, type2, type3) with different validity conditions and transmission mechanisms. Type1 assistance data is always valid, type2 requires condition matching, and type3 requires both validity information and condition matching. This segmentation allows the system to process only relevant data types based on current positioning needs, reducing overall processing complexity while maintaining high positioning accuracy through selective use of appropriate data types.
Solution Approach 2:
The patent implements dynamic validity checking mechanisms where assistance data validity is determined based on current system state (RRC_CONNECTED or RRC_INACTIVE), serving cell conditions, and data-specific validity information. The terminal dynamically selects which assistance data to use based on real-time conditions rather than processing all available data continuously, thereby improving positioning accuracy when needed while reducing processing overhead during normal operation.
2Measurement precision
If assistance data is transmitted frequently to maintain positioning accuracy, then positioning precision is improved, but network signaling overhead and energy consumption increase
Solution Approach 1:
The patent implements periodic transmission of assistance data with different validity periods for different data types. Type1 assistance data has indefinite validity, type2 has conditional validity, and type3 has explicit validity information with time or event-based expiration. This periodic action mechanism allows the network to transmit assistance data only when necessary and for the minimum required duration, maintaining positioning precision while significantly reducing signaling overhead and terminal energy consumption compared to continuous transmission.
Solution Approach 2:
The patent changes the validity parameters of assistance data based on terminal state (connected or inactive) and service requirements. The network configures different validity durations and renewal conditions for assistance data depending on whether the terminal is in RRC_CONNECTED or RRC_INACTIVE state. This parameter adaptation allows the system to extend data validity periods during inactive states to reduce signaling frequency, while maintaining shorter periods during connected states for higher precision requirements, thereby optimizing the trade-off between positioning precision and energy consumption.
3Adaptability or versatility
If the system supports positioning in both RRC_CONNECTED and RRC_INACTIVE states, then service versatility is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal assistance data framework that functions across both RRC_CONNECTED and RRC_INACTIVE states through a single set of type1, type2, and type3 data definitions. The same assistance data types and validity checking mechanisms are used in both states, with state-specific configuration parameters rather than separate data structures. This universality allows the system to support positioning services in both states without duplicating the entire positioning stack, thereby improving service versatility while controlling system complexity through code reuse and unified architecture.
Data Source
AI summary
A method for positioning in a mobile communication system is provided. A method for positioning includes receiving from a base station a first type1 assistance data including a type1 identifier and a one or more PRS resource set information receiving from a base station a type2 assistance data including a type2 identifier and a one or more PRS resource set information the type1 identifier and the type2 identifier correspond to different Information Elements receiving from a base station a type3 assistance data including a validity information and a second type1 assistance data determining based on the validity information and New Radio Cell Global Identifier of serving cell whether the second type1 data is valid receiving from the base station a RRCRelease including a SuspendConfig including a information indicating small data transmission is configured for Signaling Radio Bearer2 and transmitting in RRC_INACTIVE via Dedicated Control Channel a ProvideLocationInformation.