Mobility-Specific Configuration for Low-Mobility User Equipment
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Solution Overview
Problem
Current mobility information systems for user equipment (UEs) in wireless communication networks are inefficient for low-mobility devices, requiring long observation times, assuming UE capabilities that may not be present, and lacking flexibility in configuration, especially for stationary or quasi-stationary devices like smart meters.
Innovation Solution
A method to obtain and verify mobility information for UEs, determining a mobility-specific configuration based on their state, and providing configuration information for optimal network settings, including power control, measurement configurations, and paging area settings, using network entities like RAN intelligent controllers and UE profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current mobility information systems are used for all UEs, then network coverage and basic connectivity are maintained, but network efficiency and resource management deteriorate for low-mobility devices due to long observation times and unnecessary configurations
Solution Approach 1:
The patent introduces mobility-specific configuration parameters that change based on the UE's mobility state. For low-mobility UEs, the system applies relaxed measurement configurations, extended time alignment timers, and modified paging parameters, thereby adapting the network parameters to match the actual mobility characteristics and eliminate unnecessary observation overhead.
Solution Approach 2:
The system dynamically adjusts configuration parameters based on the UE's mobility state classification. By categorizing UEs into different mobility states (e.g., normal, low-mobility, stationary) and applying state-specific configurations, the system achieves dynamic optimization of network resources without sacrificing coverage for any device type.
2Adaptability or versatility
If standard mobility configurations are applied to all UEs, then compatibility and basic functionality are ensured, but device complexity and configuration overhead increase for low-mobility UEs with unnecessary capabilities
Solution Approach 1:
The patent applies the principle of local quality by tailoring configuration parameters to the specific mobility characteristics of each UE category. Instead of uniform configurations, the system implements localized optimization where low-mobility UEs receive simplified measurement configurations, adjusted power control parameters, and modified handover thresholds, thereby reducing configuration overhead while maintaining necessary functionality.
Solution Approach 2:
The system segments the UE population into distinct mobility states and applies differentiated configuration sets to each segment. This segmentation allows the network to manage low-mobility UEs with simplified procedures while maintaining standard configurations for high-mobility devices, thereby reducing overall configuration complexity without compromising adaptability.
3Reliability
If conservative configurations are used for all UEs to ensure reliability, then connection stability is maintained, but resource utilization and network performance deteriorate for stationary and low-mobility devices
Solution Approach 1:
The patent enables low-mobility and stationary UEs to benefit from self-service mechanisms through relaxed configurations. These devices can maintain connections with extended time alignment timers without frequent re-synchronization, use simplified measurement procedures that consume less power, and rely on optimized paging mechanisms, thereby reducing their power consumption while maintaining connection reliability through state-appropriate parameters.
Solution Approach 2:
The system changes key parameters such as time alignment timer values, measurement reporting intervals, and power control adjustments based on mobility state. For low-mobility UEs, longer timers and reduced measurement frequencies maintain connection stability while significantly reducing the energy required for maintaining the connection compared to conservative universal configurations.
4Measurement precision
If detailed cell-level mobility information is collected, then precise mobility state detection is achieved, but information processing overhead and system complexity increase unnecessarily
Solution Approach 1:
The patent extracts only the essential mobility indicators needed for state classification, such as cell reselection counts and basic location change patterns, rather than processing detailed cell-level measurement data. This extraction approach achieves sufficient mobility state detection accuracy while significantly reducing information processing overhead by focusing on key metrics that differentiate mobility states.
Solution Approach 2:
The system applies partial action by implementing mobility state detection and configuration optimization only for low-mobility and stationary UEs, rather than applying complex cell-level analysis to all devices. This selective approach achieves the necessary measurement precision for the target devices while avoiding excessive processing overhead that would result from universal detailed analysis.
Data Source
AI summary
A method performed by a first network entity including RAN equipment (5) in a communication system is disclosed. The method includes obtaining information relating to a mobility state of a UE (3), determining a mobility specific configuration for the UE (3) based on the mobility state, and providing configuration information for configuring the UE (3) with the mobility specific configuration.