DWDM Modem Pair Matching for Spectrum Optimization

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Solution Overview

Problem

Conventional optical networking systems fail to optimize path computation by assuming uniform operating parameters across transmitter and receiver components, leading to inefficient resource utilization and inability to meet specific service requests due to inaccurate assumptions about component variability.

Innovation Solution

The system calculates and stores individual transmitter and receiver component characteristics during production, enabling personalized matching and optimization of modem pairs based on user-defined service requests, SNR, and jitter specifications to improve network resource allocation and spectrum management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional systems assume uniform operating parameters for all transmitters and receivers, then system complexity is reduced and ease of operation is improved, but resource utilization efficiency deteriorates and service request fulfillment capability worsens

Engineering Contradiction:
Improveease of operationVSAvoidresource utilization efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system segments transmitters and receivers into distinct components with individually measured characteristics, creating separate profiles for each component. This segmentation allows the path computation engine to match specific transmitter-receiver pairs based on their unique characteristics rather than assuming uniformity, thereby improving resource utilization while maintaining operational simplicity through automated matching processes.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the operating parameters from assumed uniform values to individually measured characteristics for each transmitter and receiver. By storing and utilizing specific parameters such as OSNR requirements, power levels, and sensitivity values for each component, the system optimizes path computation and resource allocation to meet service requests more effectively.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If conventional systems use simplified path computation algorithms, then computational speed is improved and device complexity is reduced, but path computation accuracy deteriorates and service request fulfillment capability worsens

Engineering Contradiction:
Improvedevice complexityVSAvoidpath computation accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system performs preliminary measurements of transmitter and receiver characteristics during production and stores these values in databases before actual network operation. This preliminary action allows the path computation engine to access accurate component-specific parameters during path computation, improving accuracy without requiring complex real-time measurements or increasing operational device complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary database that stores measured characteristics of transmitters and receivers, acting as a mediator between the path computation engine and the physical components. This intermediary structure allows accurate component matching without directly increasing the complexity of the path computation algorithm itself, as the engine simply queries pre-stored values.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If conventional systems do not perform transmitter-receiver matching, then system complexity is reduced and processing time is shortened, but resource waste increases and network capacity utilization deteriorates

Engineering Contradiction:
Improveprocessing timeVSAvoidresource waste
Core Design Contradiction:
Loss of timeVSLoss of substance

Solution Approach 1:

The system implements self-service through automated transmitter-receiver matching where the path computation engine automatically selects optimal component pairs based on stored characteristics and service requirements. This automation eliminates the need for manual matching while improving resource utilization, and the process is integrated into the existing path computation workflow to minimize additional processing time.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11770203B2Matching transmitters with receivers for making network-level assignments
Publication Date: 2023.09.26 CIENA CORP
  • US11770203B2 patent drawing
  • US11770203B2 patent drawing
  • US11770203B2 patent drawing

AI summary

Systems and methods for controlling network configurations or assignments are provided. A method, according to one implementation, includes a step of calculating transmission characteristics between each pair of a plurality of pairs of modems at opposite ends of a Dense Wavelength-Division Multiplexing (DWDM) transport link using specifications of the modems measured during production. The method also includes the step of selecting a pair of modems from the plurality of pairs of modems based on results obtained by calculating the transmission characteristics and based on one or more user-defined service requests.