[1] [1] SADEGHI R, CORREIA B, SOUZA A, et al. Transparent vs translucent multi-band optical networking: capacity and energy analyses [J]. Journal of Lightwave Technology, 2022, 40(11): 3486-3498.

[2] [2] MEHRABI M, BEYRANVAND H, EMADI M J. Multi-band elastic optical networks: inter-channel stimulated Raman scattering-aware routing,modulation level and spectrum assignment [J]. Journal of Lightwave Technology, 2021, 39(11): 3360-3370.

[3] [3] GUO N N, ZHANG K, LI Y C, et al. Impact of the band upgrade sequence on the capacity and capital expenditure of multi-band optical networks [J]. Journal of Optical Communications and Networking, 2023, 15(10): E1-E17.

[4] [4] JANA R K, CHATTERJEE B C, SINGH A P, et al. Quality-aware resource provisioning for multiband elastic optical networks: a deeplear ning- assisted approach[J]. Journal of Optical Communications and Net working, 2022, 14(11): 882-893.

[5] [5] ZHANG W C, YIN S, WANG Z H, et al. Routing, modulation level and spectrum assignment considering nonlinear interference in C+ L+ S-bands EONs[C]//IEEE. Proceedings of 2022 27th OptoElectronics and Communications Conference (OECC)and 2022 International Conference on Photonics in Switching and Computing(PSC). Toyama: IEEE, 2022: 1-3.

[6] [6] YAO Q Y, YANG H, BAO B W, et al. SNR re-verification-based routing, band, modulation, and spectrum assignment in hybrid c-c+ 1 optical networks[J]. Journal of Lightwave Technology, 2022, 40(11): 3456-3469.

[8] [8] CHEN X, LI B J, PROIETTI R, et al. DeepRMSA: a deep reinforcement leaming framework for routing, modulation and spectrum assignment in elastic optical networks [J]. Journal of Lightwave Technology, 2019, 37(16): 4155-4163.

[9] [9] MORALES P, FRANCO P, LOZADA A, et al. Multi-band environments for optical reinforcement learning gym for resource allocation in elastic optical networks[C]//IEEE. Proceedings of 2021 International Conference on Optical Network Design and Modeling (ONDM). Gothenburg:IEEE, 2021: 1-6.

[10] [10] TERKI A B, PEDRO J, EIRA A, et al. Routing and spectrum assignment assisted by reinforcement learning in multi-band optical networks [C]//IEEE. Proceedings of 2022 European Conference on Optical Communication (ECOC). Basel: IEEE, 2022: 1-4.

[11] [11] SEMRAU D, KILLEY R I, BAYVEL P. A closed-form approximation of the Gaussian noise model in the presence of inter-channel stimulated Raman scattering[J]. Journal of Lightwave Technology, 2019, 37(9): 1924-1936.

[12] [12] GU Y, LI Y C, GUO N N, et al. L-band amplifier placement in C+ L-band elastic optical networks[C]//IEEE. Proceedings of 2021 Asia Communications and Photonics Conference (ACP). Shanghai: IEEE, 2021: 1-3.

[13] [13] SHI C L, ZHU M, GU J H, et al. Deep-reinforced impairment-aware dynamic resource allocation in nonlinear elastic optical networks[C]//IEEE.Proceedings of 2021 Opto-Electronics and Communications Conference(OECC). Hong Kong: IEEE, 2021: 1-3.

[14] [14] NAKAGAWA M, KAWAHARA H, MASUMOTO K, et al. Performance evaluation of multi-band optical networks employing distance-adaptive resource allocation[C]//IEEE. Proceedings of 2020 Opto-Electronics and Communications Conference(OECC). Taipei: IEEE, 2020: 1-3.

[15] [15] TANG B, HUANG Y C, XUE Y, et al. Heuristic reward design for deep reinforcement leaming-based routing, modulation and spectrum assignment of elastic optical networks [J]. IEEE Communications Letters, 2022,26(11): 2675-2679.

[16] [16] GONZALEZ M, CONDON F, MORALES P, et al. Improving multiband elastic optical networks performance using behavior induction on deep reinforcement leaming[C]///IEEE. Proceedings of 2022 IEEE Latin-American Conference on Communications (LATINCOM). Rio de Janeiro: IEEE,2022:1-6.

[18] [18] BAO B W, YANG H, YAO Q Y, et al. Lorb: Link-oriented resource balancing scheme for hybrid c/c+ 1 band elastic optical networks[J]. Optical Fiber Technology, 2022, 74: 103071-1-1103071-10.