Radio Unit Parameter Optimization via Causal Graph Planning
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Solution Overview
Problem
The integration of radio units and distributed units from different vendors in 5G networks is challenging due to differences in implementation, leading to inefficient and error-prone manual setting of radio unit parameters for synchronization, particularly in latency-sensitive interfaces.
Innovation Solution
A server-based optimization method that generates a constrained causal graph from observation data to determine causal variables and structure, performing finite domain representation planning to optimize radio unit parameters and output action data for improved synchronization between radio and distributed units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If radio unit parameters are set manually for multivendor integration, then interoperability between different vendors can be achieved, but the process becomes very time consuming and error prone
Solution Approach 1:
The system performs self-diagnosis and self-configuration by automatically detecting vendor types and retrieving appropriate parameter sets from a database, eliminating the need for manual parameter setting while ensuring correct multivendor interoperability
Solution Approach 2:
A parameter management server acts as an intermediary between radio units and distributed units, automatically selecting and distributing the correct parameter sets based on vendor compatibility requirements, thereby reducing manual intervention time
2Adaptability or versatility
If radio unit parameters are set manually for multivendor integration, then interoperability between different vendors can be achieved, but the process becomes error prone
Solution Approach 1:
The system automatically detects vendor types and retrieves pre-configured compatible parameter sets from a database, eliminating manual parameter setting errors while ensuring correct multivendor interoperability
Solution Approach 2:
The system implements automatic verification mechanisms that check parameter compatibility between radio units and distributed units from different vendors, providing feedback to ensure correct configuration and prevent interoperability errors
3Reliability
If control plane messages are sent in advance to ensure timing coordination, then synchronization between radio unit and distributed unit is improved, but the interface latency sensitivity requires precise parameter setting
Solution Approach 1:
The system pre-configures timing parameters including Tcp_adv_dl values in a database based on vendor compatibility, allowing control plane messages to be sent in advance with correct timing coordination without requiring complex manual parameter setting
Solution Approach 2:
The parameter management server acts as an intermediary that automatically selects and distributes pre-calculated timing parameters for control plane message scheduling, simplifying the configuration process while maintaining precise synchronization
Data Source
AI summary
An optimization method includes generating a constrained causal graph according to an observation data received from a distributed unit, performing a finite domain representation planning using the constrained causal graph to generate an action data about a plurality of radio unit parameters after optimization, and outputting the action data to the distributed unit. A number of a plurality of causal variables of the constrained causal graph and a causal structure of the constrained causal graph are determined at a time.