Neighbor-Aware Cellular Network Parameter Configuration
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Solution Overview
Problem
The complexity of wireless cellular network parameter configuration is increased by the large number of parameters that need to be adjusted and the interdependence between neighboring cells, making it difficult to optimize network performance.
Innovation Solution
A network parameter configuration method that involves obtaining operational state information, performing negotiations based on state information subsets in multiple dimensions, and sending configuration instructions to adjust parameters considering the impact between neighboring areas, using models and prediction techniques to optimize parameter sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of parameters are configured for each radio cell to optimize network performance, then the quality of service is improved, but the complexity of parameter configuration increases
Solution Approach 1:
The patent divides the network into multiple radio cells as independent network control units, each with its own parameters. This segmentation allows optimized parameter configuration for each cell while maintaining overall network control, resolving the contradiction between optimizing service quality and managing configuration complexity.
Solution Approach 2:
The patent dynamically adjusts parameters based on network conditions and user requirements. By enabling flexible parameter changes rather than static configurations, the system can optimize quality of service adaptively while simplifying the configuration process through automated parameter adjustment mechanisms.
2Ease of operation
If parameters for neighboring cells are adjusted independently, then configuration ease is improved, but the accuracy of parameter optimization deteriorates due to interdependence between cells
Solution Approach 1:
The patent integrates parameter configuration across neighboring cells by considering their interdependencies. The system combines configuration decisions for multiple cells into a unified optimization process, ensuring that parameter adjustments in one cell account for their impact on neighboring cells, thereby improving optimization accuracy while maintaining operational ease through automated coordination.
Data Source
AI summary
A network parameter configuration method includes obtaining operational state information of a network device. The operational state information includes a state information set of each of N areas covered by the network device, and the state information set includes state information subsets in D dimensions. Negotiations are performed based on the state information subsets in the D dimensions of each of the N areas to obtain target parameter subsets in the D dimensions of each of the N areas. A configuration instruction is sent to the network device covering the N areas to instruct the network device to perform parameter configuration based on a target parameter set of each of the N areas that is carried in the configuration instruction. The method can improve network parameter configuration efficiency.


