Dynamic 5G NR Configuration for Dual RAT User Equipment
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Solution Overview
Problem
Conventional systems fail to dynamically assign user equipment (UE) to either nonstandalone (NSA) 5G or standalone (SA) 5G nodes based on application types, leading to inefficient resource utilization and suboptimal user experience in 5G networks with dual Radio Access Technology (RAT) capabilities.
Innovation Solution
An eNodeB requests historical or geotagged data for a UE upon connection, determining signal quality for both NSA and SA nodes and dynamically assigns the UE based on a delta threshold, prioritizing NSA for non-guaranteed bit rate (non-GBR) QCIs above a threshold and SA for below thresholds, thereby optimizing 5G NR configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems assign UEs to 5G nodes without dynamic evaluation, then system complexity is reduced, but resource utilization efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting historical information and geotagged data about UE behavior patterns before making assignment decisions. This advance preparation enables faster, more informed dynamic assignments without adding complex real-time evaluation mechanisms
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring application information, signal quality metrics, and UE performance data. This feedback loop allows the system to adaptively adjust assignments based on actual performance, improving resource utilization while maintaining manageable complexity through data-driven decisions
2Reliability
If dynamic assignment based on application types is implemented, then user experience is improved, but processing complexity increases
Solution Approach 1:
The system applies local quality by making assignments specific to each UE's application requirements and local conditions rather than using uniform rules. Different UEs receive different assignments based on their specific needs (e.g., latency-sensitive vs. bandwidth-intensive applications), improving user experience while keeping processing focused on relevant factors
Solution Approach 2:
The system changes parameters dynamically by adjusting assignment decisions based on varying application information, signal quality thresholds, and historical performance data. This parameter-based approach allows flexible adaptation to different scenarios without requiring complex rule sets, managing processing complexity through configurable thresholds and metrics
3Measurement precision
If historical information collection is performed for all UEs, then assignment accuracy is improved, but information processing load increases
Solution Approach 1:
The system applies partial action by collecting and processing historical information selectively rather than comprehensively for all UEs. It focuses on relevant application information and key performance metrics needed for assignment decisions, avoiding unnecessary data collection and processing while maintaining sufficient accuracy for effective dynamic assignment
Data Source
AI summary
Systems and methods are provided for dynamically determining optimal 5G New Radio (NR) configuration for dual Radio Access Technology (RAT) technology capable user equipment (UE). After receiving an indication a UE has connected to a particular sector, an eNodeB having a nonstandalone (NSA) 5G node and a standalone (SA) 5G node requests historical information or geotagged data corresponding to the UE. The eNodeB determines a NSA signal quality for a 5G node of the eNodeB and a SA signal quality of the 5G SA node. Based on a delta of the NSA signal quality and the SA signal quality being below a predetermined threshold, the eNodeB uses the historical information or the geotagged data to dynamically assign the UE to the NSA 5G node or the SA 5G node.