Investigation of Effectiveness of Deep Learning on OFDM and NOMA Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7753-4_44
Reference15 articles.
1. Wang Y, Ren B, Sun S, Kang S, Yue X (2016) Analysis of nonorthogonal multiple access for 5G. China Commun 13(2):52–66
2. 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
3. Ding Z, Yang Z, Fan P, Poor HV (2014) On the performance of non-orthogonal multiple access in 5G systems with randomly deployed users. IEEE Signal Process Lett 21(12):1501–1505
4. Islam SMR, Avazov N, Dobre OA, Kwak K (2017) Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun Surv Tutorials 19(2):721–742
5. Higuchi K, Benjebbour A (2015) Non-orthogonal multiple access (NOMA) with successive interference cancellation for future radio access. IEICE Trans Commun E-98(3)
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