ROADM Placement via Traffic Simulation
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Solution Overview
Problem
The high cost of installing fiber spans and complex optics for longer-distance data communication in distributed data networks, along with the prohibitively expensive nature of reconfigurable optical add/drop multiplexers (ROADMs), poses a challenge in effectively meeting network design objectives.
Innovation Solution
A method involving the simulation of data traffic routing to identify candidate locations for ROADM placement, where ROADMs are strategically positioned to optimize network design criteria such as spare capacity and optics usage, thereby reducing the need for costly upgrades or additional fiber installations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fiber optic spans and complex optics are used for longer-distance data communication, then data communication capability is improved, but installation cost increases
Solution Approach 1:
The system performs preliminary simulation of data traffic routing before actual network deployment to identify optimal ROADM placement locations. This preliminary analysis allows planners to strategically position ROADMs that will handle longer-distance communication needs, avoiding costly fiber installations in areas where ROADMs can more efficiently manage traffic.
Solution Approach 2:
ROADMs serve as intermediary devices between fiber optic spans, enabling wavelength-selective switching and adding/dropping channels. This intermediary capability allows the network to manage data traffic more flexibly without requiring continuous fiber expansion, thereby reducing installation costs while maintaining communication capabilities.
2Adaptability or versatility
If ROADMs are deployed to meet network design objectives, then network flexibility and capacity are improved, but device cost increases
Solution Approach 1:
The system applies local quality by analyzing specific network locations and identifying only those areas where ROADMs are most needed based on simulated traffic patterns. Rather than uniformly deploying ROADMs throughout the network, the system places them strategically at locations where they provide maximum flexibility and capacity benefits, thereby reducing overall device cost.
Solution Approach 2:
The system changes the parameter of network configuration by simulating different routing scenarios and traffic patterns to determine optimal ROADM placement. This parameter analysis allows the network to achieve high flexibility and capacity where needed while avoiding unnecessary ROADMs in areas where existing infrastructure suffices, thus controlling device cost.
3Length of stationary object
If fiber spans are installed to expand network coverage, then network reach is improved, but installation cost increases
Solution Approach 1:
The system performs preliminary simulation of data traffic routing before actual network deployment to identify optimal ROADM placement locations. This preliminary analysis allows planners to strategically position ROADMs that will handle longer-distance communication needs, avoiding costly fiber installations in areas where ROADMs can more efficiently manage traffic.
Data Source
AI summary
A distributed network including at least two Reconfigurable Optical Add/Drop Multiplexers (ROADMs) may be designed by a method including simulating routing of data traffic in a distributed network. The method may also include identifying a first location for placement of a first ROADM based at least partially on the simulated routing of the data traffic. The method may also include simulating rerouting of data traffic in the distributed network including the first ROADM at the first location. The method may further include identifying a second location for placement of a second ROADM based at least partially on the simulated rerouting of the data traffic.