5G DU/RU Performance Checks with Parallel Execution and Cleanup
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Solution Overview
Problem
Existing 5G networks face challenges in efficiently performing regular health checks on Distributed Units (DUs) and Radio Units (RUs) to detect and resolve performance issues in a timely manner.
Innovation Solution
A system utilizing a jump server and performance server to execute a wrapper script that simultaneously runs performance checks on multiple DUs and RUs, with memory cleanup mechanisms to optimize server performance by deleting unnecessary files after checks are completed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If performance checks are performed on multiple DUs and RUs simultaneously, then the speed of performance checking is improved, but the memory space consumption on servers increases
Solution Approach 1:
The patent segments the performance checking process into distinct phases: execution phase where performance scripts run on multiple DUs and RUs simultaneously consuming memory, and cleanup phase where intermediate files are deleted. The wrapper script manages multiple performance script copies independently for each target, allowing parallel execution while controlling resource usage through systematic file management.
Solution Approach 2:
The system performs preliminary actions by creating performance script copies in advance on the server before distributing them to multiple targets. The wrapper script prepares the environment by copying necessary performance checking scripts to temporary locations, ensuring that when simultaneous checks are executed, all necessary resources are already in place and can run in parallel without additional overhead.
2Reliability
If performance check files are retained on servers, then data integrity is improved, but server performance deteriorates due to memory space occupation
Solution Approach 1:
The patent implements a discarding and recovering mechanism where intermediate files (performance script copies and log files) are systematically deleted after their purpose is fulfilled. The wrapper script monitors the completion of performance checks and automatically removes temporary files from server memory, thereby recovering space while maintaining the reliability of the performance checking process through proper file management.
Solution Approach 2:
The system extracts and removes unnecessary intermediate files from the server environment after performance checks are completed. By separating the essential performance data (which needs to be retained) from temporary working files (which can be discarded), the system maintains data integrity while freeing up server memory space for continued operations.
3Reliability
If regular health checks are performed on DUs and RUs, then network reliability is improved, but the time required for checking increases
Solution Approach 1:
The patent enables continuous performance monitoring by allowing simultaneous execution of multiple performance checks across different DUs and RUs. Rather than performing checks sequentially which would consume more time, the system runs multiple performance script copies in parallel, maintaining continuous monitoring coverage while reducing total checking time through concurrent operation.
Solution Approach 2:
The system performs partial actions by running performance checks on selected subsets of DUs and RUs simultaneously rather than requiring all checks to complete before moving forward. The wrapper script manages multiple independent check operations that can proceed in parallel, providing sufficient monitoring coverage without requiring exhaustive sequential checking of every component.
Data Source
AI summary
A jump server receives a command to check performance of one or more Distributed Units (DUs) or one or more Radio Units (RUs) at one or more cell sites. In response, the jump server executes a wrapper script that logs into a performance server, copies at least one input file that identifies the one or more DUs or the one or more RUs and a performance script to a user-specific directory at the performance server and initiates execution of the performance script at the performance server. The execution of the performance script causes the performance server to run a set of performance checking procedures on the one or more DUs or the one or more RUs identified in the input file, generate an output log file that comprises results of running the set of performance procedures, and store the output log file in the user specific directory.