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pro vyhledávání: '"EMİR, Ahmet"'
In this letter, we propose a deep learning-aided multi-user detection (DeepMuD) in uplink non-orthogonal multiple access (NOMA) to empower the massive machine-type communication where an offline-trained Long Short-Term Memory (LSTM)-based network is
Externí odkaz:
http://arxiv.org/abs/2102.09196
Non-Orthogonal Multiple Access (NOMA) has higher spectral efficiency than orthogonal multiple access (OMA) techniques. In uplink communication systems that the channel is not known at the receiver, pilot signals sent from each user in different time
Externí odkaz:
http://arxiv.org/abs/2004.12416
Publikováno v:
Journal of Essential Oil-Bearing Plants; Dec2024, Vol. 27 Issue 6, p1504-1515, 12p
Autor:
Thakur, Vikas, Depina, Ivan, Degago, Samson Abate, Alene, Gebray Habtu, Oguz, Emir Ahmet, Singh, Mahendra, Chandel, Anoopsingh
Publikováno v:
Indian Geotechnical Journal; Oct2024, Vol. 54 Issue 5, p1751-1766, 16p
Publikováno v:
In Process Biochemistry May 2022 116:49-59
Publikováno v:
In Physical Communication October 2021 48
Publikováno v:
Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards; Jun2024, Vol. 18 Issue 2, p467-490, 24p
Autor:
Hajebrahimi, Farzin a, b, Tarakci, Devrim c, Arman, Nilay d, Emir, Ahmet c, Bursali, Aysegul e, Tarakci, Ela d, ⁎
Publikováno v:
In Foot and Ankle Surgery June 2021 27(4):439-442
Publikováno v:
Journal of Essential Oil Bearing Plants; November 2024, Vol. 27 Issue: 6 p1504-1515, 12p