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1 Ergebnisse
1
Wireless Power Allocation for Hybrid TDMA-NOMA System Using..:
, In:
2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
,
Tharani, R.
;
Kumar, T.R. Dinesh
;
C, Saravanan
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/RAEEUCCI61380.2024.10547911
RT T1
2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
: T1
Wireless Power Allocation for Hybrid TDMA-NOMA System Using Deep Learning Recurrent Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10547911&Exemplar=1&LAN=DE A1 Tharani, R. A1 Kumar, T.R. Dinesh A1 C, Saravanan A1 R, Rahul A1 I, Rattankumar. A1 C, Gokulabalan YR 2024 K1 Wireless communication K1 NOMA K1 Time-frequency analysis K1 Time division multiple access K1 Recurrent neural networks K1 System performance K1 Quality of service K1 element K1 formatting K1 fashion K1 styling K1 insert SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/RAEEUCCI61380.2024.10547911 DO https://doi.org/10.1109/RAEEUCCI61380.2024.10547911 SF ELIB - SuUB Bremen
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