Advanced optical transceiver and switching solutions for next-generation optical networks

被引:5
作者
Nadal, L. [1 ]
Martinez, R. [1 ]
Ali, M. [1 ]
Vilchez, F. J. [1 ]
Fabrega, J. M. [1 ]
Moreolo, M. Svaluto [1 ]
Casellas, R. [1 ]
机构
[1] Ctr Tecnol Telecomunicac Catalunya CTTC CERCA, Castelldefels, Spain
关键词
Transceivers; Optical switches; Optical transmitters; Optical fiber networks; 6G mobile communication; Optical signal processing; Next generation networking; MULTIBAND;
D O I
10.1364/JOCN.522102
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Innovative transceiver and switching approaches should be explored with special focus on flexibility, energy efficiency, sustainability, and interoperability to be adopted on next-generation 6G optical networks driven by the diverse landscape of emerging applications and services and increasing traffic demand. In this regard, multiband (MB) and spatial division multiplexing (SDM) technologies arise as promising technologies for providing suitable network capacity scaling while fulfilling the stringent requirements of the incoming 6G era. In this paper, innovative MB over SDM (MBoSDM) switching node and sliceable bandwidth/bit rate variable transceiver (S-BVT) architectures with enhanced capabilities and features are proposed and experimentally validated. Different network scenarios have been identified and assessed, enabling up to 180.9 Gb/s S+C+L transmission in back-to-back (B2B) configuration. A MBoSDM scenario including both transceiver and switching solutions is demonstrated, including a 19-core multi-core fiber (MCF) of 25.4 km. Thanks to the transceiver modular and scalable approach, higher capacities can be envisioned by enabling multiple slices working in the different bands beyond the C-band. A power efficiency analysis of the proposed transceiver is also presented, including a pathway towards the integration with a software defined networking (SDN) control plane assisted by energy-aware artificial intelligence (AI)/machine learning (ML) trained models.
引用
收藏
页码:D64 / D75
页数:12
相关论文
共 38 条
[1]  
6GSNS, 2023, EU-US-beyond 5G/6G roadmap
[2]  
Andrae A, 2015, Challenges, V6, P117, DOI [10.3390/challe6010117, 10.3390/challe6010117, DOI 10.3390/CHALLE6010117]
[3]  
[Anonymous], 2023, ONF TR-547 TAPI Reference Implementation Agreement, v3.1
[4]  
Casellas R., 2023, 23 INT IFIP C OPT NE, P452
[5]  
Curri V, 2023, 2023 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELING, ONDM
[6]  
Dris S, 2015, INT C TRANS OPT NETW
[7]   Experimental Demonstration of Extended 5G Digital Fronthaul Over a Partially-Disaggregated WDM/SDM Network [J].
Fabrega, Josep M. ;
Munoz, Raul ;
Nadal, Laia ;
Manso, Carlos ;
Moreolo, Michela Svaluto ;
Vilalta, Ricard ;
Martinez, Ricardo ;
Vilchez, Francico Javier ;
Galacho, Diego Perez ;
Sales, Salvador ;
Grivas, Evangelos ;
Turkiewicz, Jaroslaw P. ;
Rommel, Simon ;
Monroy, Idelfonso Tafur .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (09) :2804-2815
[8]   Assessment on the Achievable Throughput of Multi-Band ITU-T G.652.D Fiber Transmission Systems [J].
Ferrari, Alessio ;
Napoli, Antonio ;
Fischer, Johannes K. ;
Costa, Nelson ;
D'Amico, Andrea ;
Pedro, Joao ;
Forysiak, Wladek ;
Pincemin, Erwan ;
Lord, Andrew ;
Stavdas, Alexandros ;
Gimenez, Juan Pedro F. -P. ;
Roelkens, Gunther ;
Calabretta, Nicola ;
Abrate, Silvio ;
Sommerkorn-Krombholz, Bernd ;
Curri, Vittorio .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (16) :4279-4291
[9]  
Fontaine N. K., 2021, EUR C OPT COMM ECOC
[10]   Advances in Optical Technologies and Techniques for High Capacity Communications [J].
Fresi, Francesco ;
Imran, Muhammad ;
Malacarne, Antonio ;
Meloni, Gianluca ;
Sorianello, Vito ;
Forestieri, Enrico ;
Poti, Luca .
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2017, 9 (04) :C54-C64