Flexible Virtual Optical Network Provisioning via Distance-Adaptive Modulation
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Solution Overview
Problem
Current optical network provisioning methods do not fully leverage spectrum utilization efficiency due to fixed node mapping, limiting the effectiveness of distance-adaptive modulation and resulting in suboptimal resource usage and increased service provisioning costs.
Innovation Solution
A method for flexible virtual optical network provisioning that involves calculating and evaluating mapping patterns for virtual nodes to physical nodes in distance-adaptive flex-grid optical networks, optimizing spectral slot usage through flexible node mapping and distance-adaptive modulation, allowing for efficient resource allocation and reduced costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed node mapping is used in optical network provisioning, then network provisioning simplicity is improved, but spectrum utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic node mapping that adapts to distance requirements. The system calculates multiple mapping patterns and selects the optimal one based on the specific distance constraints of each virtual optical network request, rather than using a static fixed mapping approach. This dynamic adaptation enables better spectrum utilization while maintaining operational simplicity through automated selection.
Solution Approach 2:
The system changes the mapping parameters (which physical nodes are assigned to which virtual nodes) based on the distance requirements of the service request. By adjusting the node mapping configuration according to specific distance constraints, the system achieves optimal spectrum utilization without compromising provisioning simplicity, as the parameter changes are automatically managed.
2Device complexity
If distance-adaptive modulation is not fully leveraged, then network provisioning complexity is reduced, but network capacity deteriorates
Solution Approach 1:
The system performs preliminary calculation of multiple mapping patterns before final provisioning decisions are made. By pre-evaluating different node mapping configurations and their impact on distance-adaptive modulation effectiveness, the system identifies optimal patterns that maximize network capacity while keeping provisioning complexity manageable through structured evaluation criteria.
Solution Approach 2:
The patent introduces an intermediary evaluation mechanism that assesses mapping patterns against distance requirements and spectrum utilization criteria. This intermediary layer translates complex distance-adaptive modulation requirements into actionable provisioning decisions, enabling the system to leverage distance-adaptive modulation for enhanced capacity without proportionally increasing provisioning complexity.
3Ease of manufacture
If suboptimal resource allocation occurs, then service provisioning costs increase, but implementation simplicity is improved
Solution Approach 1:
The system incorporates feedback mechanisms that evaluate the quality of mapping patterns based on spectrum utilization metrics and distance requirements. By providing feedback on allocation efficiency, the system automatically adjusts and selects mapping patterns that optimize resource allocation, reducing service provisioning costs while maintaining implementation simplicity through automated optimization rather than manual intervention.
Solution Approach 2:
The patent implements self-service optimization where the system automatically evaluates and selects optimal mapping patterns without requiring complex manual configuration. The automated evaluation process identifies cost-effective resource allocation decisions, enabling the network to optimize its own resource usage and reduce provisioning costs while keeping implementation simple through rule-based automatic selection.
Data Source
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Figure 3A~3B
AI summary
Flexible VON provisioning may include calculating a candidate mapping pattern to satisfy a virtual optical network (VON) demand based on virtual-to-physical node mapping choices. A distance-adaptive routing and spectral slot assignment evaluation of the candidate mapping pattern may be performed. When the VON demand is satisfied by the candidate mapping pattern, the candidate mapping pattern may be added to a valid mapping patterns list. A final mapping pattern may be selected from the valid mapping patterns list, the final mapping pattern having one of a lowest slot layer and a smallest overall slot usage on the valid mapping patterns list. Then, network resources may be reserved based on the final mapping pattern selected to service the VON demand.