Statistical Multiplexing for OTN and DWDM Bandwidth Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing optical networking technologies, such as OTN and WDM, struggle to adapt to demand uncertainties and provide over-subscription, leading to inefficiencies in bandwidth allocation and congestion management, particularly at Layers 0 and 1.
Innovation Solution
Implementing statistical multiplexing techniques using Flexible Grid optical spectrum and Time Division Multiplexed (TDM) bandwidth, with monitoring and adjustment mechanisms based on statistical parameters like High Water Marks, Low Water Marks, Oversubscription, and Differential Peak Variance, to dynamically resize and reallocate bandwidth through a control plane and Software Defined Networking (SDN) controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If static bandwidth allocation is used in OTN and WDM networks, then network stability is maintained, but adaptability to demand uncertainties deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth allocation in OTN and WDM networks by introducing statistical multiplexing mechanisms that allow bandwidth to be adjusted based on real-time traffic demands. The system monitors traffic patterns and dynamically reallocates bandwidth resources, transforming the traditionally static TDM and wavelength allocation into adaptive, demand-responsive configurations that maintain stability while improving adaptability.
Solution Approach 2:
The patent changes the allocation parameters from fixed static values to dynamic statistical parameters. By using historical traffic data and statistical analysis, the system determines optimal bandwidth allocation parameters that adapt to changing demand patterns while maintaining network stability through controlled adjustment mechanisms.
2Device complexity
If fixed bandwidth allocation is implemented, then network simplicity is maintained, but productivity deteriorates due to inefficiencies in bandwidth utilization
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor bandwidth utilization and traffic patterns in the network. This feedback information is used to automatically adjust bandwidth allocation, improving utilization efficiency without requiring complex manual intervention. The feedback loop enables the system to respond to changing conditions while maintaining operational simplicity.
Solution Approach 2:
The system enables self-service bandwidth allocation where the network automatically adjusts its own resource distribution based on monitored traffic patterns. This eliminates the need for complex external management while improving bandwidth utilization efficiency through automated statistical multiplexing and dynamic resource reallocation.
3Reliability
If over-subscription is not allowed, then network reliability is maintained, but loss of time occurs due to inability to handle peak demands
Solution Approach 1:
The patent applies preliminary action by pre-calculating statistical parameters and bandwidth allocation strategies based on historical traffic patterns. This allows the network to be pre-prepared for peak demands while maintaining reliability through statistically-grounded allocation limits. The system proactively adjusts bandwidth before peak periods occur, reducing response time while preserving network stability.
Data Source
AI summary
A method of statistical multiplexing with one of Layer 0 Flexible Grid optical spectrum and Layer 1 Time Division Multiplexed (TDM) bandwidth in a multi-layer network includes obtaining a sampling of bandwidth usage over time on ports and links in the multi-layer network for one of Layer 0 and Layer 1 traffic using a plurality of statistical parameters, wherein the plurality of statistical parameters are defined for the one of Layer 0 and Layer 1 traffic; monitoring the plurality of statistical parameters; and triggering based on the monitoring one of i) adjustments to the one of Layer 0 and Layer 1 traffic and ii) adjustments to routing parameters on the links for new traffic, wherein the triggering is one of through a control plane and a Software Defined Networking (SDN) controller.