5G NR Cell Selection With Frequency Database Prioritization
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Solution Overview
Problem
Existing wireless communication devices face challenges in efficiently selecting cells that support the latest generation radio access technologies (RATs) and frequency bands, particularly in 5G NR standalone (SA) and non-standalone (NSA) modes, leading to suboptimal network connectivity.
Innovation Solution
The UE prioritizes cell selection based on the latest generation RATs and frequency bands by maintaining a frequency database and fingerprint database, updating them periodically, and performing idle measurements to select a serving cell that supports 5G NR, ensuring optimal network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE selects cells based on traditional criteria without prioritizing latest generation RATs, then device compatibility and coverage are maintained, but network connectivity performance and access to advanced 5G NR services are suboptimal
Solution Approach 1:
The UE performs preliminary actions by maintaining updated frequency databases and fingerprint databases before cell selection. The frequency database stores frequency information for cells supporting latest generation RATs, while the fingerprint database stores measurement results. This preliminary preparation enables the UE to quickly identify and prioritize cells supporting 5G NR when selecting a serving cell, thus improving network connectivity without compromising device compatibility
Solution Approach 2:
The invention changes the cell selection parameters by introducing priority-based selection criteria that favor latest generation RATs. The UE modifies the traditional cell selection process by incorporating database lookup mechanisms that identify cells supporting 5G NR, FR1, and FR2 frequency ranges. This parameter change enables the UE to adapt to advanced network technologies while maintaining reliable connectivity
2Reliability
If the UE performs comprehensive measurements and database updates to prioritize 5G NR cells, then access to advanced networks is improved, but device complexity and processing overhead increase
Solution Approach 1:
The UE creates simplified copies of cell information in database structures (frequency database and fingerprint database) that can be quickly queried during cell selection. Instead of performing complex real-time analysis of all available cells, the UE stores pre-processed frequency information and measurement fingerprints in structured databases, enabling faster and simpler cell selection decisions while maintaining reliable access to 5G NR networks
Solution Approach 2:
The UE performs measurements and database updates in advance during idle periods or when conditions permit, preparing selection criteria before they are needed. This preliminary action reduces the complexity of real-time cell selection by having measurement results and frequency information already processed and stored, thus improving access to 5G NR without proportionally increasing device complexity
Data Source
AI summary
Aspects of the disclosure relate to mechanisms for enhancement in UE cell selection to prioritize cells supporting 5G New Radio (NR) in standalone mode (SA) and in non-standalone (NSA) mode. In some examples, a UE may identify a plurality of cells within an area including a location of the UE. Each cell supports at least one radio access technology (RAT) and at least one frequency. The UE may determine a selection order of the plurality of cells based on the supported RATs and frequency bands to prioritize cells supporting the latest RAT (e.g., 5G NR) and select a serving cell based on the selection order.