Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm

Tingkun Huang; Tianwai Bo; Zhongwei Tan; Yi Dong

doi:10.1109/OECC54135.2024.10975540

Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm

Tingkun Huang^*, Tianwai Bo, Zhongwei Tan, Yi Dong

^*Corresponding author for this work

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose an adaptive simulated annealing (ASA) algorithm for optimizing the power of each channel to maximize the total channel capacity in ultra-wideband wavelength division multiplexing systems. Its speed is much faster compared with mainstream heuristic algorithms with the same maximum channel capacity.

Original language	English
Title of host publication	Proceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Edition	2024
ISBN (Electronic)	9798350308396
DOIs	https://doi.org/10.1109/OECC54135.2024.10975540
Publication status	Published - 2024
Externally published	Yes
Event	29th Opto-Electronics and Communications Conference, OECC 2024 - Melbourne, Australia Duration: 30 Jun 2024 → 4 Jul 2024

Conference

Conference	29th Opto-Electronics and Communications Conference, OECC 2024
Country/Territory	Australia
City	Melbourne
Period	30/06/24 → 4/07/24

Keywords

adaptive simulated annealing algorithm
channel power optimization
inter-channel stimulated Raman scattering

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10.1109/OECC54135.2024.10975540

Cite this

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title = "Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm",

abstract = "We propose an adaptive simulated annealing (ASA) algorithm for optimizing the power of each channel to maximize the total channel capacity in ultra-wideband wavelength division multiplexing systems. Its speed is much faster compared with mainstream heuristic algorithms with the same maximum channel capacity.",

keywords = "adaptive simulated annealing algorithm, channel power optimization, inter-channel stimulated Raman scattering",

author = "Tingkun Huang and Tianwai Bo and Zhongwei Tan and Yi Dong",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 29th Opto-Electronics and Communications Conference, OECC 2024 ; Conference date: 30-06-2024 Through 04-07-2024",

year = "2024",

doi = "10.1109/OECC54135.2024.10975540",

language = "English",

booktitle = "Proceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

edition = "2024",

}

Huang, T, Bo, T, Tan, Z & Dong, Y 2024, Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm. in Proceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024. 2024 edn, Institute of Electrical and Electronics Engineers Inc., 29th Opto-Electronics and Communications Conference, OECC 2024, Melbourne, Australia, 30/06/24. https://doi.org/10.1109/OECC54135.2024.10975540

Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm. / Huang, Tingkun; Bo, Tianwai; Tan, Zhongwei et al.
Proceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024. 2024. ed. Institute of Electrical and Electronics Engineers Inc., 2024.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm

AU - Huang, Tingkun

AU - Bo, Tianwai

AU - Tan, Zhongwei

AU - Dong, Yi

PY - 2024

Y1 - 2024

N2 - We propose an adaptive simulated annealing (ASA) algorithm for optimizing the power of each channel to maximize the total channel capacity in ultra-wideband wavelength division multiplexing systems. Its speed is much faster compared with mainstream heuristic algorithms with the same maximum channel capacity.

AB - We propose an adaptive simulated annealing (ASA) algorithm for optimizing the power of each channel to maximize the total channel capacity in ultra-wideband wavelength division multiplexing systems. Its speed is much faster compared with mainstream heuristic algorithms with the same maximum channel capacity.

KW - adaptive simulated annealing algorithm

KW - channel power optimization

KW - inter-channel stimulated Raman scattering

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U2 - 10.1109/OECC54135.2024.10975540

DO - 10.1109/OECC54135.2024.10975540

M3 - Conference contribution

AN - SCOPUS:105005755132

BT - Proceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th Opto-Electronics and Communications Conference, OECC 2024

Y2 - 30 June 2024 through 4 July 2024

ER -

Channel Power Optimization of WDM Systems Using an Adaptive Simulated Annealing Algorithm

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Keywords

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