Centralized Policy Intelligence Rules System for Network Conflict Resolution
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Solution Overview
Problem
Current communications networks face inefficiencies in policy management and charging functions, as they often rely on a case-by-case approach, leading to complexities in provisioning network resources and enforcing policies, which can result in conflicts and suboptimal resource allocation.
Innovation Solution
An enhanced subscription profile repository and policy intelligence rules system are introduced, which analyze subscriber data and policies to identify conflicts, determine relevant rules, and generate instructions for network nodes to enforce policies, thereby streamlining policy management and charging functions within a policy realization framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a case-by-case approach is used for policy management and charging functions, then flexibility in handling individual network resources is maintained, but system complexity and inefficiency increase
Solution Approach 1:
The patent merges multiple distributed policy decision functions and charging rules functions into a single centralized policy decision function and charging rules function. This consolidation reduces system complexity by eliminating redundant components while maintaining flexibility through centralized policy analysis that considers subscriber data, subscription profiles, and network conditions to determine appropriate actions for each network resource.
2Reliability
If each network resource has its own policy decision function and charging rules function, then resource-specific policy enforcement is achieved, but conflicts and suboptimal resource allocation occur
Solution Approach 1:
The patent introduces a centralized policy decision function that acts as an intermediary between policy definitions and network resource enforcement. This mediator analyzes subscriber data and subscription profiles to resolve conflicts and determine optimal policies, ensuring consistent policy enforcement across all network resources while improving allocation efficiency through centralized coordination rather than distributed decision-making.
3Productivity
If centralized policy management is implemented, then system efficiency and conflict resolution are improved, but the need for comprehensive subscriber data analysis increases
Solution Approach 1:
The patent implements preliminary action by pre-storing subscriber data, subscription profiles, and policy definitions in accessible formats before policy decisions are needed. The centralized policy decision function retrieves and analyzes this pre-prepared data to quickly determine appropriate policies, reducing the complexity of real-time data analysis while maintaining high management efficiency through systematic data organization and retrieval mechanisms.
Data Source
AI summary
Various systems and methods for providing a policy realization framework for a communications network are disclosed. The policy realization framework can be an application and service layer policy framework that is separate and distinct from the network layer policy framework. As such, policy decisions can be made remote from the network layer, and common policies across multiple networks are possible. A policy intelligence rules system for a policy realization framework, and methods of implementing the same, are also disclosed. The policy intelligence rules system can receive a policy request associated with a request for a network resource and policies pertaining to the policy request, which can include operator policies and subscriber specific policies. In response to determining that a policy conflict exists between the policies, the policy intelligence rules system can resolve the policy conflict and generate a rule for the communications network to use in response to the request.