Radio Frequency Signal Prioritization Using Multi-Criteria Cell Selection
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Solution Overview
Problem
Existing radio access network (RAN) systems primarily prioritize signals based on signal strength, leading to inefficient use of network resources and undesirable user experiences, especially when users move between coverage areas or when cost-effective alternatives are available.
Innovation Solution
The system manages prioritization and selection of signals and associated cells by considering characteristics beyond signal strength, such as cost, predicted user movement, environmental conditions, and available resources, using a core module and radio access network modules to determine optimal cell connections for communication sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal strength is used as the primary criterion for cell selection, then connection reliability is improved, but network resource utilization deteriorates and user costs increase
Solution Approach 1:
The patent changes the selection parameters from solely signal strength to a multi-dimensional evaluation including cost, signal strength, and environmental conditions. This allows the system to select cells that optimize overall network efficiency rather than just maximizing signal strength, thereby improving resource utilization while maintaining connection reliability.
Solution Approach 2:
The cell selection mechanism is enhanced to perform multiple functions simultaneously: evaluating signal quality, assessing cost implications, predicting user movement, and considering environmental factors. This multi-functional approach enables the system to balance multiple objectives and improve overall network resource utilization.
2Stability of the object's composition
If signal strength is the sole criterion for cell selection, then connection stability is improved, but user experience deteriorates when users move between coverage areas
Solution Approach 1:
The system performs preliminary actions by predicting user movement patterns and proactively selecting cells that will maintain stable connections as users move. This anticipatory approach prevents connection drops and handover issues, thereby improving user experience while maintaining connection stability.
Solution Approach 2:
The cell selection mechanism becomes dynamic by continuously adapting to predicted user movement and changing environmental conditions. This dynamic adjustment allows the system to maintain stable connections during user movement, improving both connection stability and user experience.
3Device complexity
If traditional cell selection methods are used, then system complexity is minimized, but network efficiency and cost-effectiveness deteriorate
Solution Approach 1:
The cell selection process is segmented into distinct evaluation components: signal strength assessment, cost evaluation, environmental condition analysis, and movement prediction. This modular segmentation manages system complexity by breaking down the complex decision-making process into manageable, independent modules that can be processed systematically.
Data Source
AI summary
Prioritization and selection of signals and associated cells can be managed. User equipment module (UEM) of user equipment (UE) can determine a context associated with a communication session based on analyzing usage behavior information relating to usage behavior, and profile information relating to a profile, associated with the UE. The profile information can be determined by a core module based on information relating to the network or previous communication sessions. Based on analysis results, including context, UEM can determine a characteristic, other than signal strength, that can be more heavily weighted over other characteristics associated with UE or network to facilitate determining which cell, of a cell group, the UE is to connect to for the communication session. UEM can determine and select the cell of the cell group to which the UE is to connect, based on the context and the highest weighted characteristic.