Channel allocation and spectrum use in optical networks using machine learning a 5G application analysis

Author:

Sun Zhengkai

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference23 articles.

1. Agarwal, A., Misra, G., Agarwal, K.: A review and analysis on elastic optical networks (EONs): concepts, recent developments and research challenges. J. Inst. Eng. India Ser. B 103(6), 2189–2194 (2022)

2. Ahmed, Q.W., Garg, S., Rai, A., Ramachandran, M., Jhanjhi, N.Z., Masud, M., Baz, M.: Ai-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization. Electronics 11(13), 2071 (2022)

3. Banerjee, V.: Resource allocation and optimization in cognitive radio using cascaded machine learning algorithm. Math. Stat. Eng. Appl. 71(4), 4470–4479 (2022)

4. Bao, B., Yang, H., Yao, Q., Guan, L., Zhang, J., Cheriet, M.: Resource allocation with edge-cloud collaborative traffic prediction in integrated radio and optical networks. IEEE Access 11, 7067–7077 (2023)

5. Christiansen, Y., Zitkovich, M., Bórquez-Paredes, D., Beghelli, A., Alvarado, A., & Saavedra, G.: Geometric constellation shaping in elastic optical networks: performance analysis on resource allocation. In: 2023 International Conference on Optical Network Design and Modeling (ONDM), pp. 1–3. IEEE (2023)

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