Radio Access Network Information Grouping for Near-Real-Time Optimization
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Solution Overview
Problem
Existing radio access networks face challenges in efficiently managing conflicting requirements such as low latency and quality of service due to the increasing demand for content creation and consumption, especially with technologies like autonomous driving and IoT, leading to delays in gathering near real-time information across different network functions.
Innovation Solution
An apparatus and method for interfacing with multiple radio access network functions, sending requests for specific information based on criteria, receiving and grouping this information, and providing it to optimization algorithms, particularly using machine learning, to enhance network performance and manage traffic efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate data requests are sent to each radio access network function, then individual algorithm requirements can be met, but the time to gather near real-time information increases and delays optimization
Solution Approach 1:
The patent combines multiple separate data requests into a single aggregated request that is sent to multiple radio access network functions simultaneously. This merging approach allows the optimization algorithm to receive all necessary information from different network functions (such as mobility management, session management, and user plane functions) in one consolidated data set, thereby reducing the total time required to gather near real-time information while maintaining the reliability needed to meet service level requirements.
2Loss of information
If multiple separate requests are sent to gather information from different network functions, then comprehensive data can be collected, but the complexity of data management and processing increases
Solution Approach 1:
The patent implements a universal data collection mechanism that can handle multiple types of information requests across different radio access network functions through a single standardized interface. This multi-functional approach allows the system to collect comprehensive data from various network functions (mobility management, session management, charging, etc.) using one unified request structure, thereby reducing data management complexity while ensuring complete information collection for optimization algorithms.
3Productivity
If real-time information is gathered from all network functions, then optimization can be improved, but the amount of data to be processed increases significantly
Solution Approach 1:
The patent extracts and selects only the most relevant and essential data elements from the information provided by multiple radio access network functions. Rather than processing all available data, the system identifies and extracts key parameters that are critical for optimization algorithms (such as latency metrics, throughput data, and quality of service indicators), thereby reducing the volume of data that needs to be processed while maintaining the productivity and speed of optimization operations.
Data Source
AI summary
An apparatus, method and computer program product for: interfacing with at least a first radio access network function and a second radio access network function, sending a first message to the first radio access network function and a second message to the second radio access network function, the first message and the second message comprising a request to report information based on at least one criterion, receiving the reported information from the first radio access network function and the second radio access network function, and grouping the reported information and providing the grouped information to at least one radio access network optimization algorithm.