Cloud Wireless Network Analysis Using Device and Base Station Logs
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Solution Overview
Problem
Determining event information associated with wireless network events, such as errors or failures, is challenging due to limited log information collection capabilities by base stations, which only capture network-side data, making it difficult to recreate and analyze user device-side events effectively.
Innovation Solution
User devices are configured to collect and provide log information across various protocol layers, including PHY, RLC, MAC, and RRC layers, to an analytics device, which analyzes this information along with base station-collected data to automatically detect, identify, and diagnose events, enabling comprehensive wireless network analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If base stations collect log information for network analysis, then network analysis capability is improved, but the completeness of event information deteriorates because base stations only capture network-side data and cannot obtain user device-side data
Solution Approach 1:
The system segments the log collection function between two entities: base stations collect network-side logs while user devices collect device-side logs. This segmentation allows each component to gather the specific data it can access, and the analytics device combines these segmented data sources to achieve complete event information without requiring one entity to have all capabilities.
Solution Approach 2:
The analytics device serves as an intermediary that receives and correlates log information from both base stations and user devices. It acts as the mediator that combines network-side and device-side data, enabling comprehensive event analysis by integrating information from multiple sources that neither source could provide alone.
2Measurement precision
If base stations collect comprehensive log information, then event analysis capability is improved, but storage requirements and system complexity increase due to limited base station storage capacity
Solution Approach 1:
The system extracts the storage function from the base station and relocates it to the analytics device. Base stations generate and send only essential log information to the analytics device, which then performs the storage and correlation functions. This extraction allows base stations to maintain simple storage capacity while achieving comprehensive event analysis through the external analytics device.
3Measurement precision
If user devices provide detailed log information to analytics devices, then event detection accuracy is improved, but data transmission overhead and processing load increase
Solution Approach 1:
User devices perform partial action by collecting and providing only the specific log information relevant to event detection rather than all possible device data. The analytics device supplements this partial information with network-side logs from base stations, achieving complete event detection accuracy without requiring excessive data transmission from individual devices.
Data Source
AI summary
A device may determine log information, collected by a user device, that may include information associated with communications between the user device and a base station. The user device and the base station may be associated with a wireless network. The device may analyze the log information to determine event information associated with the user device. The event information may include information associated with an event experienced by the user device during the communications between the user device and the base station. The device may generate action information based on the event information. The action information may include information associated with organizing, categorizing, classifying, or diagnosing the event experienced by the user device. The device may provide the action information.