RAN Feature Consolidation for Adaptive Uplink Coverage Gaps
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Solution Overview
Problem
Existing mobile communication systems face challenges in enhancing uplink coverage due to poor PUSCH reception near cell edges and indoor scenarios, with existing solutions lacking flexibility and efficiency in managing feature interconnections and adapting to changing network conditions.
Innovation Solution
A system utilizing artificial intelligence and machine learning to consolidate feature interconnections in a Radio Access Network (RAN), analyzing uplink metrics to identify coverage deficiencies and dynamically apply feature combinations in real-time for improved coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple RAN features are combined to enhance uplink coverage, then coverage performance is improved, but system complexity and difficulty in managing feature interconnections increase
Solution Approach 1:
The patent segments the complex feature combination problem into distinct components: a feature consolidator module that manages feature interconnections, an uplink metric analyzer that evaluates coverage performance, and a feature combination identifier that selects optimal feature sets. This modular segmentation reduces management complexity while maintaining coverage enhancement benefits.
Solution Approach 2:
The patent introduces an intermediary system (the feature consolidator and analyzer combination) that mediates between the multiple RAN features and the uplink coverage objective. This intermediary consolidates feature interconnection knowledge, evaluates uplink metrics, and determines optimal feature combinations, thereby simplifying the overall system management while improving coverage.
2Adaptability or versatility
If fixed feature configurations are used to improve coverage, then implementation simplicity is maintained, but adaptability to changing network conditions deteriorates
Solution Approach 1:
The patent implements dynamic feature management where the system continuously monitors uplink metrics (such as PUSCH reception performance, block error rates, and signal strength) and adapts feature combinations in real-time based on current network conditions. This dynamic approach allows the system to respond to changing conditions while the automated management reduces the perceived complexity.
Solution Approach 2:
The patent incorporates feedback mechanisms where uplink performance metrics are continuously measured and fed back to the feature consolidator and analyzer. This feedback loop enables the system to learn from past performance and automatically adjust feature combinations to optimize coverage under varying network conditions, enhancing adaptability without requiring manual intervention.
3Reliability
If comprehensive feature analysis is performed to identify optimal combinations, then coverage optimization is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary consolidation of feature interconnection knowledge and pre-analysis of feature compatibility relationships. By pre-processing and organizing feature information in advance, the system reduces the computational burden during real-time operation, enabling faster identification of optimal feature combinations when coverage optimization is needed.
Solution Approach 2:
The patent changes the approach from exhaustive analysis of all possible feature combinations to a more efficient parameter-based selection method. The system analyzes key uplink metrics and uses this information to directly identify relevant feature combinations, rather than evaluating all possible combinations. This parameter-driven approach significantly reduces processing time while maintaining optimization effectiveness.
Data Source
AI summary
A system to enhance coverage using features of a Radio Access Network (RAN) includes a feature consolidator configured to consolidate feature interconnections among the features of the RAN, receive uplink metrics and features capability from User Equipment (UE) to a Radio Unit (RU), determine a coverage deficiency, and identifying a feature combination based on the feature interconnections, the UE's features capability, and the coverage deficiency. A feature applicator is configured to apply the feature combination to a transmission of the uplink. Features of the RAN are related as not combinable, constrained, independent, synergistic, or synergistic with constraints, with the feature combination maximizing the synergy benefit to an uplink transmission.