NSA Anchor Cell Prioritization for Flexible 5G Cell Residing
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Solution Overview
Problem
In the context of 5G network deployment, terminals supporting Non Stand Alone (NSA) networking face reduced flexibility in cell dwelling due to prioritizing LTE cells during startup, leading to difficulties in accessing NSA anchor cells.
Innovation Solution
A method and terminal that prioritize the search for pre-stored NSA anchor cells during initial access by performing frequency-scanning, utilizing pre-configured and historical frequency-point information, and enhancing the priority of these cells in the candidate list based on signal strength and network-specific sorting rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal prioritizes to dwell on LTE cells during startup, then the terminal can ensure basic connectivity and compatibility, but the flexibility of dwelling on cells is reduced and access to NSA anchor cells is delayed
Solution Approach 1:
The terminal performs frequency scanning to identify and pre-evaluate NSA anchor cells before final cell selection. By conducting measurements and assessments of potential NSA anchor cells in advance, the terminal prepares a list of candidate cells with their quality metrics, enabling faster and more flexible selection when NSA access is desired, thus resolving the contradiction between ensuring basic connectivity and improving cell dwelling flexibility
Solution Approach 2:
The terminal dynamically adjusts cell selection priorities based on current needs and available options. Instead of rigidly prioritizing LTE cells in all scenarios, the terminal can adaptively switch between prioritizing LTE cells for basic connectivity and prioritizing NSA anchor cells for enhanced 5G access, depending on network conditions and service requirements, thereby achieving both reliability and flexibility
2Reliability
If the terminal performs comprehensive frequency scanning to find NSA anchor cells, then the access success rate improves, but the time and complexity of the cell selection process increases
Solution Approach 1:
The terminal applies different measurement and evaluation criteria to different cell types and frequency bands. Instead of uniformly scanning all frequencies with the same depth, the terminal focuses measurement resources on frequencies and cells more likely to be NSA anchor cells based on pre-configuration and historical data, performing more comprehensive scanning where needed and faster scanning where sufficient, thus improving access success rate while controlling selection time
Solution Approach 2:
The terminal uses pre-configured frequency lists and historical cell information to guide the frequency scanning process. By having pre-identified candidate frequencies and cells from previous measurements or network provisioning, the terminal can prioritize scanning these locations first, reducing the overall time needed to find suitable NSA anchor cells while maintaining high access success rates
Data Source
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AI summary
Provided in the embodiments of the present disclosure are a cell residing method, a terminal, and a storage medium, comprising: searching for frequencies of prestored cells, determining first-type cells among the prestored cells, the prestored cells and the first-type cells being preset anchor cells used for accessing a first network, and the first-type cells being preset anchor cells determined by a frequency sweep with respect to the prestored cells; acquiring frequency sweep cells by means of a frequency sweep, adding the frequency sweep cell into a list of the candidate cells, the frequency cell comprising the first-type cells, the frequency sweep cellsin the list of the candidate cells being sorted according to a preset sorting rule; elevating the priority of the first-type cells in the list of the candidate cells, and selecting, on the basis of the priority, a target cell among the first-type cells from the list of the candidate cells for cell residing.