Digital twin assisted automatic routing selection for electric elastic optical networks

Yutu Liang; Yanxi Zhou; Xinzhan Liu; Xingnan Li

doi:10.1117/12.2659275

23 November 2022 Digital twin assisted automatic routing selection for electric elastic optical networks

Yutu Liang, Yanxi Zhou, Xinzhan Liu, Xingnan Li

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245406 (2022) https://doi.org/10.1117/12.2659275
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

The traditional wavelength division multiplexing communication network for power internet of things has the shortcomings of coarse-grain spectrum division mode, which cannot satisfy the differentiated communication requirements of flexible and diverse power services. This paper proposes an electric-elastic optical networks (eEONs) architecture that utilizes orthogonal frequency division multiplexing to achieve smaller granularity of communication bandwidth scheduling, and proposes an upper confidence bound (UCB)-based automatic routing selection algorithm. The simulation results show that the proposed algorithm can analyze the differentiated requirements of different types of power services in digital twin network, and select the most suitable routing and frequency slot.

Citation Download Citation

Yutu Liang, Yanxi Zhou, Xinzhan Liu, and Xingnan Li "Digital twin assisted automatic routing selection for electric elastic optical networks", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245406 (23 November 2022); https://doi.org/10.1117/12.2659275

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