Paper Info
Title
Autonomous and Energy Efficient Lightpath Operation Based on Digital Subcarrier Multiplexing
Abstract
The massive deployment of 5G and beyond will require high capacity and low latency connectivity services, so network operators will have either to overprovision capacity in their transport networks or to upgrade the optical network controllers to make decisions nearly in real time; both solutions entail high capital and operational expenditures. A different approach could be to move the decision making toward the nodes and subsystems, so they can adapt dynamically the capacity to the actual needs and thus reduce operational costs in terms of energy consumption. To achieve this, several technological challenges need to be addressed. In this paper, we focus on the autonomous operation of Digital Subcarrier Multiplexing (DSCM) systems, which enable the transmission of multiple and independent subcarriers (SC). Herein, we present several solutions enabling the autonomous DSCM operation, including: i) SC quality of transmission estimation; ii) autonomous SC operation at the transmitter side and blind SC configuration recognition at the receiver side; and iii) intent-based capacity management implemented through Reinforcement Learning. We provide useful guidelines for the application of autonomous SC management supported by the extensive results presented.
Year
DOI
Venue
2021
10.1109/JSAC.2021.3064698
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
Network automation,digital subcarrier multiplexing,energy savings,intent-based networking,reinforcement learning
Journal
39
Issue
ISSN
Citations 
9
0733-8716
1
PageRank 
References 
Authors
0.48
0
9
Name
Order
Citations
PageRank
Luis Velasco119238.31
Sima Barzegar232.82
Diogo Sequeira310.48
Alessio Ferrari413.86
Nelson Costa511.50
Vittorio Curri63123.20
João Pedro73519.11
Antonio Napoli818.93
Marc Ruiz99324.96