Autonomous Network Parameter Configuration via Local Measurement Processing
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Solution Overview
Problem
Existing network parameter setting methods face challenges with high signaling overhead and delays, which can lead to late decision implementation and increased processing load, making them inefficient for network optimization.
Innovation Solution
A communication device is configured to autonomously set parameters based on local measurement values using a predetermined model, independent of a management node, reducing the need for frequent feedback and enabling real-time adjustments within the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing approaches (Openflow, Netconf, OpenDaylight) are used for network parameter configuration, then configuration capability is provided, but signaling overhead grows with the number of parameters and feedback requirements
Solution Approach 1:
The communication device autonomously determines and applies parameter values by processing local measurement values against stored reference profiles, eliminating the need for continuous management node intervention and reducing signaling overhead while maintaining configuration capability
Solution Approach 2:
Reference profiles containing parameter values and associated measurement thresholds are pre-stored in the communication device, enabling immediate local decision-making without waiting for management node responses or feedback loops
2Measurement precision
If feedback mechanisms are implemented for parameter configuration, then parameter setting accuracy is improved, but round trip delay increases causing late decision implementation
Solution Approach 1:
Reference profiles with pre-determined parameter values and measurement criteria are stored locally in advance, enabling the communication device to immediately determine appropriate parameter settings without waiting for management node feedback, thus eliminating round trip delays while maintaining accuracy
Solution Approach 2:
The device autonomously evaluates local measurements against stored reference profiles and self-determines parameter values, eliminating the feedback loop dependency and achieving real-time parameter adjustment without management node intervention
3Measurement precision
If detailed parameter specification is provided for network optimization, then optimization precision is improved, but processing load increases at the configurer
Solution Approach 1:
Complex parameter determination logic is pre-encapsulated in reference profiles stored at the communication device, transforming complex processing requirements into simple local lookup operations that reduce real-time processing load while maintaining optimization precision
Solution Approach 2:
The management node's complex parameter determination logic is copied into simplified reference profiles at the communication device, allowing the device to perform simple local matching operations instead of complex real-time processing while achieving the same optimization results
Data Source
AI summary
Apparatuses and methods are disclosed for parameter setting. In one embodiment, a method includes receiving a first signaling from the management node at the second hierarchical level, the first signaling corresponding to a first predetermined model; obtaining at least one local measurement value, the at least one local measurement value indicative of a local state of the wireless communication network; processing the at least one local measurement value based on the received first predetermined model to identify at least one parameter value independent of the management node; and managing local state of the wireless communication network by performing at least one predetermined action associated with the identified at least one parameter value.


