Self-Optimization Switch Control in LTE Networks
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Solution Overview
Problem
Current 3GPP network management systems lack the ability to effectively control and monitor the enabling and disabling of self-optimization processes in LTE networks, particularly in scenarios requiring specific optimization states during commissioning, testing, or stable network operations.
Innovation Solution
A method and system for controlling a self-optimization switch, which involves obtaining and setting a target state for the switch, allowing for the enabling or disabling of self-optimization processes, and querying the current state to ensure alignment with user-defined settings, utilizing a managed unit and managing unit communication through defined IRP operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If self-optimization is automatically enabled in LTE network, then network optimization capability is improved, but ability to control enabling and disabling of optimization functions is lost
Solution Approach 1:
The patent introduces dynamic control mechanisms that allow the self-optimization system to switch between automatic and manual modes. The control apparatus can dynamically enable or disable optimization functions based on network conditions, operational scenarios, and user requirements, making the system adaptable rather than fixed in its automation level.
Solution Approach 2:
The system changes the operational parameters of self-optimization by introducing control flags, configuration parameters, and state variables that determine whether optimization functions are enabled or disabled. These parameter changes allow flexible control over the automation behavior without fundamentally altering the optimization algorithms themselves.
2Adaptability or versatility
If existing IRPs are used for network management, then most interface requirements are satisfied, but ability to control and monitor self-optimization process state is insufficient
Solution Approach 1:
The patent segments the network management interface requirements by identifying specific gaps in existing IRPs related to self-optimization control. It then introduces dedicated control interfaces and message types that specifically address self-optimization state monitoring and control, separating this functionality from general network management operations.
Solution Approach 2:
The control apparatus acts as an intermediary between the self-optimization processes and the network management system. It provides a bridge that translates between existing IRP frameworks and the specific control needs of self-optimization, enabling monitoring and control capabilities without completely replacing the existing IRP structure.
Data Source
AI summary
Embodiments of the present disclosure provide a method, an apparatus, and a system for controlling a self-optimization switch. By using technical solutions provided in embodiments of the present disclosure, enabling and disabling of self-optimization can be controlled, and a state of the self-optimization switch can be obtained. A technical solution provided in embodiments of the present disclosure is as follows: a method for controlling a self-optimization switch includes: obtaining a target state of a self-optimization switch; and sending a setting command that includes the target state to a managed unit, where the setting command instructs the managed unit to change the state of the self-optimization switch to the target state.