Optimizing resource allocation in 5G wireless networks for enhanced spectral efficiency and energy conservation using machine learning methods
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03159-4.pdf
Reference33 articles.
1. Jayaraman, R., Manickam, B., Annamalai, S., Kumar, M., Mishra, A., Shrestha, R.: Effective resource allocation technique to improve QoS in 5G wireless network. Electronics 12(2), 451 (2023)
2. Long, D., Wu, Q., Fan, Q., Fan, P., Li, Z., Fan, J.: A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL. Sensors 23(7), 3449 (2023)
3. Hasan, M.K., Islam, S., Gadekallu, T.R., Ismail, A.F., Amanlou, S., Abdullah, S.N.H.S.: Novel EBBDSA based resource allocation technique for interference mitigation in 5G heterogeneous network. Comput. Commun. 209, 320–330 (2023)
4. Wang, M., Shi, S., Zhang, D., Wu, C., Wang, Y.: Joint computation offloading and resource allocation for MIMO-NOMA assisted multi-user MEC systems. IEEE Trans. Commun. (2023). https://doi.org/10.1109/TCOMM.2023.3277531
5. Sarah, A., Nencioni, G., Khan, M.M.I.: Resource allocation in multi-access edge computing for 5G-and-beyond networks. Comput. Netw. 227, 109720 (2023)
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