Distributed Antenna KPI Collection for UE-Level Performance Tracking
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Solution Overview
Problem
Distributed antenna systems (DAS) lack the ability to track performance at the user equipment (UE) level, making it difficult to monitor and optimize network performance, especially in neutral-host deployments where multiple tenants share the system, leading to challenges in identifying the source of performance issues and compliance with service-level agreements.
Innovation Solution
A system and method for collecting base station performance statistics in a DAS by decoding messages from and to user equipment, storing key performance indicators (KPIs) in a database, and adjusting operational parameters based on these metrics to improve network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If DAS lacks access to UE-level performance information, then system complexity is reduced, but performance monitoring capability deteriorates
Solution Approach 1:
The patent introduces a measurement report message as an intermediary carrier that transports UE-level performance information from user equipment through the DAS to the network. This intermediary mechanism enables precise performance monitoring without requiring fundamental changes to the DAS architecture, thus resolving the contradiction between measurement precision and system complexity.
2Measurement precision
If DAS decodes messages from and to user equipment to collect performance statistics, then performance tracking capability is improved, but processing complexity increases
Solution Approach 1:
The patent extracts only the necessary performance statistics from decoded messages between the DAS and user equipment, rather than processing all message content. By selectively extracting relevant KPIs and performance metrics, the system achieves accurate performance tracking while minimizing processing complexity and resource consumption.
3Measurement precision
If DAS collects and stores performance parameters in a database, then performance analysis capability is improved, but information storage requirements increase
Solution Approach 1:
The patent implements local quality by storing only the specific performance parameters and KPIs that are relevant to DAS optimization in the database, rather than storing all possible message data. This selective storage approach enables effective performance analysis while minimizing information storage requirements through targeted data retention.
Data Source
AI summary
Systems and methods for base station performance statistics collection in distributed antenna systems are provided. In certain embodiment, a system includes a distributed antenna system comprising at least one processor, wherein executable code directs the at least one processor to decode messages from and to user equipment in communication with the distributed antenna system. The system also includes a database, wherein the at least one processor stores parameters identified in the decoded messages in the database. Further, performance of the distributed antenna system is adjusted based on the stored parameters.