Evolutionary neuron-level transfer learning for QoT estimation in optical networks

Yuhang Zhou, Zhiqun Gu, Jiawei Zhang, and Yuefeng Ji

J. Opt. Commun. Netw. 16(4), 432-448 (2024)  View: HTML | PDF

Large-scale quantum key distribution network simulator

Emir Dervisevic, Miroslav Voznak, and Miralem Mehic

J. Opt. Commun. Netw. 16(4), 449-462 (2024)  View: HTML | PDF

Enabling seamless migration of optical metro-urban networks to the multi-band: unveiling a cutting-edge 6D planning tool for the 6G era

Farhad Arpanaei, José Manuel Rivas-Moscoso, Ivan De Francesca, José Alberto Hernández, Alfonso Sánchez-Macián, Mahdi Ranjbar Zefreh, David Larrabeiti, and Juan Pedro Fernández-Palacios

J. Opt. Commun. Netw. 16(4), 463-480 (2024)  View: HTML | PDF

Machine-learning-based technique to establish ASE or Kerr impairment dominance in optical transmission

Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Élie Awwad, Ekhiñe Irurozki, Stephan Clémençon, and Sylvain Almonacil

J. Opt. Commun. Netw. 16(4), 481-492 (2024)  View: HTML | PDF

Mapping-varied modulation with labeling optimization for secure transmission in mode-division-multiplexed fiber-optic systems

Yi Lei, Qi Lu, Bin Chen, and Zhongyi Guo

J. Opt. Commun. Netw. 16(4), 493-503 (2024)  View: HTML | PDF

Optimizing satellite and core networks for a global quantum network

Vasileios Karavias, Catherine White, Andrew Lord, and Michael C. Payne

J. Opt. Commun. Netw. 16(4), 504-515 (2024)  View: HTML | PDF