Intent-Based Wireless Network Resource Conflict Resolution
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Solution Overview
Problem
Intent-based radio access networks (IB-RANs) face conflicts due to the dynamic allocation and scheduling of multi-dimensional resources like communication and computation resources, leading to performance degradation, as existing solutions primarily focus on communication performance without addressing these conflicts effectively.
Innovation Solution
A method and apparatus for resolving intent-based wireless network resource conflicts by periodically acquiring resource information, pre-allocating resources for new intents, and redeploying resources based on historical data and intent requirements, using game theory models for intent-level and user-level resource deployment to ensure compatibility and satisfaction thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If resources are dynamically allocated and scheduled across different dimensions in IB-RANs, then network adaptability to diverse intent requirements is improved, but resource conflicts occur leading to network performance degradation
Solution Approach 1:
The patent performs preliminary conflict detection before resource allocation by comparing the acted network area range and executed lifecycle of the pre-allocation policy with existing network configuration policies. This proactive approach identifies potential conflicts in advance, allowing the system to adjust resource allocation to prevent performance degradation while maintaining adaptability to diverse intent requirements
Solution Approach 2:
The patent implements a feedback mechanism where the system collects execution states and performance data, then uses this information to dynamically adjust resource allocation. The satisfaction degree function provides continuous feedback on whether resource allocation meets intent requirements, enabling the system to resolve conflicts by reallocating resources based on actual network performance and intent satisfaction levels
2Ease of operation
If pre-allocation policy is issued for newly-added intent, then intent satisfaction degree is improved, but resource conflicts with existing policies occur
Solution Approach 1:
The patent performs preliminary compatibility checking by comparing the pre-allocation policy's acted network area range and executed lifecycle with existing network configuration policies before issuance. This advance detection of conflicts allows the system to adjust or reject pre-allocation requests that would create complexity, while still satisfying intent requirements through alternative resource allocation strategies
Solution Approach 2:
The patent dynamically adjusts resource allocation based on real-time network conditions and conflict detection results. When conflicts are detected, the system modifies the pre-allocation policy parameters such as network area range or lifecycle timing to resolve conflicts, maintaining intent satisfaction while reducing configuration complexity through adaptive parameter adjustment
3Productivity
If game theory models are used for intent-level and user-level resource deployment, then resource allocation optimization is improved, but computational complexity increases
Solution Approach 1:
The patent segments the resource allocation problem into two distinct levels: intent-level coarse-grained deployment and user-level fine-grained deployment. This segmentation allows game theory models to be applied separately at each level, reducing overall computational complexity while maintaining allocation optimization. The intent-level allocation handles macro resource distribution, while user-level allocation optimizes specific resource assignments
Data Source
AI summary
Disclosed are a resolution method for intent-based wireless network resource conflicts and an apparatus thereof. The method includes the following steps: periodically acquiring configured resource information about a current wireless network; pre-allocating resources required for a newly-added intent; and determining whether a pre-allocated resource configuration policy is incompatible with a resource configuration policy being executed in a current network. The apparatus includes: an interface module; a solution module; a feedback module; and a storage module. Through the relative priority of intent requirements, a bias of an implementation satisfaction degree of a network configuration policy is determined, and network resource conflicts of intent requirements with different priorities are solved.