Reinforcement Learning Based Power Allocation for 6G Heterogenous Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60994-7_11
Reference20 articles.
1. Alhashimi, H.F., et al.: A survey on resource management for 6G heterogeneous networks: current research, future trends, and challenges. Electronics 12, 647 (2023)
2. Alzubaidi, O.T., et al.: Interference challenges and management in B5G network design: a comprehensive review. Electronics 11, 2842 (2022)
3. Bani-Bakr, A., Dimyati, K., Hindia, M.N., Wong, W.R., Izam, T.F.: Joint successful transmission probability, delay, and energy efficiency caching optimization in FOG Radio access network. Electronics 10, 1847 (2021)
4. Bani-Bakr, A., Dimyati, K., Hindia, M.N.: Optimizing the probability of fog nodes in a finite fog radio access network. In: 2021 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE) (2021)
5. Alsaedi, W.K., Ahmadi, H., Khan, Z., Grace, D.: Spectrum options and allocations for 6G: a regulatory and standardization review. IEEE Open J. Commun. Soc. 4, 1787–1812 (2023)
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