Frequency Prioritization for Slice Group-Based Cell Reselection
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Solution Overview
Problem
Inefficient frequency prioritization and high power consumption in certain wireless communication systems, which hinder effective cell reselection and network slicing operations.
Innovation Solution
The method involves receiving slice group information from a network device and determining cell reselection priorities for multiple frequencies, allowing for prioritization and efficient slice group-based cell reselection, utilizing a processor and memory in user equipment to manage frequency prioritization and measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional frequency prioritization methods are used in wireless communication systems, then cell reselection can be performed, but the process becomes inefficient and consumes excessive power
Solution Approach 1:
The patent segments the frequency prioritization process by introducing slice group information that divides frequencies into different priority groups. Instead of treating all frequencies equally, the system segments them based on slice requirements, allowing UEs to efficiently determine which frequencies to measure first. This segmentation resolves the contradiction by making cell reselection more targeted and less power-consuming while maintaining efficiency.
Solution Approach 2:
The patent changes the parameter of frequency prioritization by introducing slice group-based priority levels. Frequencies are assigned different reselection priorities (e.g., high priority, normal priority, low priority) based on slice group information received from the network. This parameter change enables efficient cell reselection by guiding UEs to prioritize measurements on specific frequencies, thereby reducing overall power consumption while improving reselection efficiency.
2Measurement precision
If comprehensive frequency measurements are performed for cell reselection, then accurate cell selection is achieved, but unnecessary measurements increase power consumption
Solution Approach 1:
The patent extracts only the necessary frequency measurements by using slice group information to identify which frequencies are relevant for the UE's current slice requirements. Instead of measuring all available frequencies, the system extracts and prioritizes measurements on frequencies that support the required slice groups. This extraction principle resolves the contradiction by maintaining measurement precision for relevant frequencies while eliminating energy waste on unnecessary measurements.
Solution Approach 2:
The patent applies partial action by performing measurements only on a subset of frequencies that are prioritized based on slice group information. Rather than exhaustively measuring all frequencies, the system performs partial measurements on high-priority frequencies first. This approach maintains sufficient cell selection accuracy while significantly reducing the energy consumed by unnecessary measurements.
3Productivity
If slice group-based cell reselection is implemented, then frequency prioritization is enhanced, but system complexity increases
Solution Approach 1:
The patent implements universality by designing the slice group-based frequency prioritization mechanism to work across different network configurations and UE types. The same core mechanism (receiving slice group information, determining priorities, and performing selective measurements) applies universally regardless of the specific network deployment. This universal approach enhances frequency prioritization efficiency while avoiding excessive complexity by using a standardized multi-functional framework.
Solution Approach 2:
The patent applies preliminary action by having the network provide slice group information to UEs in advance, before cell reselection is needed. This preliminary provision of priority information allows UEs to pre-determine which frequencies to measure, eliminating the need for complex real-time decision-making during cell reselection. This resolves the contradiction by enhancing prioritization efficiency through advance preparation while keeping the actual reselection process simple.
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for determining frequency prioritization in wireless communication. One method (500) includes receiving (500), at a user equipment (“UE”), slice group information from a network device. The method (500) includes determining (504) a cell reselection priority of a plurality of frequencies including a first frequency and a second frequency. The method (500) includes determining (506) reselection priorities of a plurality of frequencies for performing slice group-based cell reselection.