Search Results for author: Ahmet Emir

Found 2 papers, 0 papers with code

DeepMuD: Multi-user Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning

no code implementations18 Feb 2021 Ahmet Emir, Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu

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 used for multi-user detection.

Pilot Interval Reduction by Deep Learning Based Detectors in Uplink NOMA

no code implementations26 Apr 2020 Ahmet Emir, Ferdi Kara, Hakan Kaya

Non-Orthogonal Multiple Access (NOMA) has higher spectral efficiency than orthogonal multiple access (OMA) techniques.

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