Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks
A possible solution to address the enormous increase in traffic demands faced by network operators is to rely on multi-fiber optical backbone networks. These networks use multiple optical fibers between adjacent nodes, and, when properly designed, they are capable of handling petabits of data per se...
Saved in:
| Main Authors: | Alexandre Freitas, João Pires |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/11/12/1110 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Role of Topological Parameters in Wavelength Requirements for Survivable Optical Backbone Networks
by: Filipe Carmo, et al.
Published: (2025-06-01) -
Image Reconstruction Through Multimode Polymer Optical Fiber for Potential Optical Recording of Neural Activity
by: Fengling Chen, et al.
Published: (2025-04-01) -
All-Passive Optical Fiber Sensor Network With Self-Healing Functionality
by: Ching-Hung Chang, et al.
Published: (2018-01-01) -
Convolutional Neural Network-Based Fiber Optic Channel Emulator and Its Application to Fiber-Longitudinal Power Profile Estimation
by: Daobin Wang, et al.
Published: (2025-03-01) -
Using Artificial Neural Network Modeling in Predicting the Amount of Methyl Violet Dye Absorption by Modified Palm Fiber
by: Rashin Andayesh, et al.
Published: (2020-09-01)