Flexible Technologies to Increase Optical Network Capacity

被引:19
作者
Lord, Andrew [1 ]
Savory, Seb J. [2 ]
Tornatore, Massimo [3 ]
Mitra, Abhijit [4 ]
机构
[1] British Telecommun PLC, Opt Networks Res, Ipswich IP53RE, Suffolk, England
[2] Univ Cambridge, Dept Engn, Cambridge CB3 0FA, England
[3] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy
[4] Indraprastha Inst Informat Technol Delhi, Dept Elect & Commun Engn, New Delhi 110020, India
基金
英国工程与自然科学研究理事会;
关键词
Optical fiber networks; Transponders; Modulation; Symbols; Bandwidth; Biomedical optical imaging; Quadrature amplitude modulation; Bit rate variable transceivers; flexgrid; network optimization; optical networks; CHROMATIC DISPERSION ESTIMATION; SPECTRUM ASSIGNMENT; PERFORMANCE; ARCHITECTURE; ALGORITHM;
D O I
10.1109/JPROC.2022.3188337
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Increased global traffic puts tough requirements not just on fiber communications links but on the entire network. This manifests itself in multiple ways, including how to optimize wavelength routing around the network, how to maximize the benefits arising from fine-control DSP with increasingly accurate real-time monitoring, and how to best deploy multiband or multiple fiber connectivity. This article will summarize research into all these areas to present a full picture of how future optical networks will play their role in supporting the continuing traffic demands of broadband, 5G, and associated applications.
引用
收藏
页码:1714 / 1724
页数:11
相关论文
共 58 条
[1]   C plus L-band upgrade strategies to sustain traffic growth in optical backbone networks [J].
Ahmed, Tanjila ;
Mitra, Abhijit ;
Rahman, Sabidur ;
Tornatore, Massimo ;
Lord, Andrew ;
Mukherjee, Biswanath .
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2021, 13 (07) :193-203
[2]  
Ahuja R. K., 1993, Network Flows: Theory, Algorithms, and Applications
[3]   Simulated Annealing Algorithm for Optimization of Elastic Optical Networks with Unicast and Anycast Traffic [J].
Aibin, Michal ;
Walkowiak, Krzysztof .
2014 16TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), 2014,
[4]  
[Anonymous], 2020, ITU-T G.694.1
[5]  
[Anonymous], 2014, P OFC
[6]   Machine learning for combinatorial optimization: A methodological tour d'horizon [J].
Bengio, Yoshua ;
Lodi, Andrea ;
Prouvost, Antoine .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 290 (02) :405-421
[7]   Machine Learning Based Linear and Nonlinear Noise Estimation [J].
Caballero, F. J. Vaquero ;
Ives, D. J. ;
Laperle, C. ;
Charlton, D. ;
Zhuge, Q. ;
O'Sullivan, M. ;
Savory, Seb J. .
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2018, 10 (10) :D42-D51
[8]   Opportunities and Challenges of C plus L Transmission Systems [J].
Cantono, Mattia ;
Schmogrow, Rene ;
Newland, Matt ;
Vusirikala, Vijay ;
Hofmeister, Tad .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (05) :1050-1060
[9]   Fragmentation Problems and Management Approaches in Elastic Optical Networks: A Survey [J].
Chatterjee, Bijoy Chand ;
Ba, Seydou ;
Oki, Eiji .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (01) :183-210
[10]   DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks [J].
Chen, Xiaoliang ;
Li, Baojia ;
Proietti, Roberto ;
Lu, Hongbo ;
Zhu, Zuqing ;
Yoo, S. J. Ben .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2019, 37 (16) :4155-4163