Research on Network Performance Optimization of Cloud RAN Across Multiple Scenarios
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69457-8_31
Reference10 articles.
1. Tinini, R.I., Macêdo Batista, D., Figueiredo, G.B., et al.: Energy-Efficient vBBU migration and wavelength reassignment in cloud-fog RAN. IEEE Trans. Green Commun. Netw. 5(1) (2021)
2. Larrea, J., Marina, M.K., Merwe, J.E.V.D.: Nervion: a cloud native RAN emulator for scalable and flexible mobile core evaluation (2021)
3. Banar, M., Mohammadi, A., Kazemi, M.: Characterization of mmwave full-duplex cloud-radio access network (C-RAN) with RRH selection for 5G and beyond. Phys. Commun. 52(Jun.) (2022). https://doi.org/10.1016/j.phycom.2022.101693
4. Maule, M., Kohjogh, O., Rezazadeh, F.: Advanced Cloud-Based Network Management for 5G C-RAN (2022). https://doi.org/10.1007/978-3-030-74648-3_11
5. Yang, J., Saab, A., Morsali, A., et al.: Energy-efficient group-sparse transceiver design for multiuser MIMO relaying in C-RAN. IEEE Trans. Green Commun. Netw. 4(3), 703–716 (2020). https://doi.org/10.1109/TGCN.2020.2986587
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