Proactive UE Service Control via Access Node RF Circuitry Quality
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Solution Overview
Problem
In wireless communication systems, access nodes operating on multiple frequency bands face challenges in maintaining optimal RF circuitry quality across different zones of coverage, leading to varying signal degradation and coverage areas, which affects the quality of service for user equipment (UE) as it moves between zones.
Innovation Solution
The system predicts the UE's path through multiple zones of coverage and proactively controls the frequency band connections based on the RF circuitry quality of the access node's frequency bands in those zones, using a computing system to determine an aggregate RF circuitry-quality score and decide whether to maintain or switch connections to ensure higher quality service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an access node operates on multiple frequency bands across different zones of coverage, then the coverage area and service capability are improved, but the RF circuitry quality varies across zones leading to signal degradation
Solution Approach 1:
The system proactively predicts the UE's movement path through multiple zones and determines the sequence of frequency bands that will be traversed. Before the UE actually moves through these zones, the system pre-determines the optimal frequency band connections and proactively controls the transitions, ensuring high-quality service is maintained throughout the predicted path rather than reactively responding to quality degradation after it occurs.
Solution Approach 2:
The system dynamically adjusts the frequency band connections based on the predicted UE movement path. Instead of using a static frequency band configuration, the system modifies the active frequency bands and connections in real-time according to the UE's predicted location and movement, optimizing RF circuitry quality for each zone the UE is expected to traverse.
2Reliability
If the access node maintains RF circuitry quality across all zones, then service quality is improved, but the system complexity increases due to need for proactive path prediction and dynamic control
Solution Approach 1:
The system utilizes the UE's own measured signal qualities and reported locations to predict its future movement path and determine optimal frequency band connections. Rather than requiring complex external monitoring and control infrastructure, the system leverages data already generated by the UE's normal operation, allowing proactive control with minimal additional complexity.
Solution Approach 2:
The system continuously monitors the UE's measured signal qualities on different frequency bands and uses this feedback to refine predictions of the UE's movement path. This feedback loop allows the system to adapt its proactive control decisions based on actual UE behavior, improving service quality while keeping the control mechanism manageable through data-driven adjustments.
3Reliability
If the system proactively controls frequency band connections based on predicted UE path, then signal degradation is minimized, but the time required for path prediction and quality assessment increases
Solution Approach 1:
The system focuses its path prediction and quality assessment efforts on only the most probable zones the UE will traverse, rather than evaluating all possible zones. By identifying and concentrating resources on the critical sequence of zones along the predicted path, the system achieves proactive control with reduced computational time and resource requirements.
Data Source
AI summary
A mechanism for controlling service of a user equipment device (UE), including (i) predicting that the UE will move sequentially through multiple zones of coverage of an access node that operates on a different respective set of one or more frequency bands in each zone of coverage and that has a respective radio-frequency (RF) circuitry quality as to each frequency band, (ii) based on the predicting, determining an RF-circuitry-quality score of the access node as an aggregate of the RF-circuitry-qualities of the access node as to the frequency bands on which the access node operates in the multiple zones of coverage through which the UE is predicted to move, and (iii) before the predicted movement of the UE through the multiple zones of coverage occurs, proactively using the determined RF-circuitry-quality score of the access node as a basis to control whether the UE is served by the access node.