Criteria Classes Library for SON Function Coordination
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Solution Overview
Problem
Existing mobile communication systems face inefficiencies and high operational expenses due to coarse-grained optimization of self-optimizing network (SON) functions, leading to conflicts and reduced performance, particularly in heterogeneous networks where multiple SON functions are applied simultaneously.
Innovation Solution
A fine-grained, policy-based SON function coordination system using a Criteria Classes library to select and control the application of SON functions, such as mobility robustness optimization, mobility load balancing, and coverage and capacity optimization, through a rules-based function selector and cost-weighting mechanism, ensuring optimal performance by identifying disjoint target areas and minimizing conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple SON functions are applied simultaneously to optimize network performance, then optimization effectiveness is improved, but parameter conflicts and network degradation occur
Solution Approach 1:
The patent segments the network into distinct target areas (cells, nodeBs, eNodeBs) and applies different SON functions to different segments simultaneously. The criteria classes library enables selective application of SON functions to specific network elements based on their characteristics and performance needs, allowing multiple functions to operate without mutual interference while maintaining overall network stability.
2Reliability
If coarse-grained geographic isolation is used to prevent SON function conflicts, then network stability is maintained, but optimization efficiency and resource utilization are reduced
Solution Approach 1:
The patent implements local quality by applying different SON functions to different local network elements (cells, nodeBs, eNodeBs) based on their specific characteristics and performance requirements. Instead of coarse-grained geographic isolation, the system evaluates individual network elements and applies appropriate SON functions locally, maximizing optimization efficiency while maintaining stability through targeted rather than blanket applications.
3Device complexity
If strict priority-based policies are used to manage SON function conflicts, then implementation complexity is reduced, but fine-grained optimization and alignment between functions are lost
Solution Approach 1:
The patent introduces dynamic evaluation and selection of SON functions based on real-time network conditions and predefined criteria classes. Instead of static priority-based policies, the system dynamically determines which SON functions to apply to which network elements based on current performance metrics and criteria matching, enabling fine-grained optimization while managing complexity through automated decision-making.
4Speed
If SON functions are applied without coordinated selection, then deployment speed is increased, but operational expenses and maintenance complexity increase
Solution Approach 1:
The patent implements self-service through automated selection and application of SON functions based on criteria classes. The system automatically evaluates network elements against predefined criteria and selects appropriate SON functions without requiring manual configuration or complex operational intervention. This automation maintains rapid deployment speed while significantly reducing operational expenses and maintenance complexity through self-managed optimization.
Data Source
AI summary
The present disclosure is directed to a self-optimizing network (SON) and ways of designing and operating the SON to achieve maximum efficiency and best subscriber experience metrics. Aspects of the invention use criteria classes and class-based self-optimizing network functions in a SON of a wireless communication architecture, apply filtering criteria to said criteria classes and determine worst-performing network objects or relations by coordination of multiple SON functions and function rules.