Ergodic Capacity Estimation with Artificial Neural Networks in NOMA-Based Cognitive Radio Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08279-6.pdf
Reference20 articles.
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2. Umakoglu, I., et al.: BER performance comparison of AF and DF assisted relay selection schemes in cooperative NOMA systems. In: IEEE International Black Sea Conference on Communications and Networking, Bucharest, Romania, pp. 1–6 (2021). https://doi.org/10.1109/BlackSeaCom52164.2021.9527771
3. Bardak, F.K.; Namdar, M.; Basgumus, A.: Ergodic capacity analysis of the relay assisted downlink NOMA systems in cognitive radio networks. J. Eng. Sci. Des. 9(3), 992–1002 (2021). https://doi.org/10.21923/jesd.826084
4. Marcano, A.S.; Christiansen, H.L.: Impact of NOMA on network capacity dimensioning for 5G HetNets. IEEE Access 6, 13587–603 (2018). https://doi.org/10.1109/ACCESS.2018.2799959
5. Yan, X.; Xiao, H.; An, K.; Zheng, G.; Chatzinotas, S.: Ergodic capacity of NOMA-based uplink satellite networks with randomly deployed users. IEEE Syst. J. 14(3), 3343–50 (2020). https://doi.org/10.1109/JSYST.2019.2934358
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