Deep learning-based sequential models for multi-user detection with M-PSK for downlink NOMA wireless communication systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12243-023-00990-7.pdf
Reference38 articles.
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2. Budhiraja I et al (2021) A systematic review on NOMA variants for 5G and beyond. IEEE Access 9:85573–85644. https://doi.org/10.1109/ACCESS.2021.3081601
3. Dai L, Wang B, Yuan Y, Han S, Chih-lin I, Wang Z (2015) Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends. IEEE Commun Mag 53(9):74–81. https://doi.org/10.1109/MCOM.2015.7263349
4. Salahdine F, Han T, Zhang N (2023) 5G, 6G, and beyond: recent advances and future challenges. Annals of Telecommunications. https://doi.org/10.1007/s12243-022-00938-3
5. Islam S, Avazov N, Dobre O, Kwak K-s (2017) Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun Surv Tutor 19(2):721–742. https://doi.org/10.1109/COMST.2016.2621116
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