Multi-Layer Network Formation through HAPS Base Station and Transmissive RIS-Equipped UAV

no code implementations • 2 May 2024 • Faical Khennoufa, Khelil Abdellatif, Halim Yanikomeroglu, Metin Ozturk, Taissir Elganimi, Ferdi Kara

We also consider multiple-input single-output (MISO) technology, by employing multiple antennas at the HAPS-SMBS and a single antenna at the Internet of things devices.

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

no code implementations • 18 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 implementations • 26 Apr 2020 • Ahmet Emir, Ferdi Kara, Hakan Kaya

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

Prediction of the Optimal Threshold Value in DF Relay Selection Schemes Based on Artificial Neural Networks

no code implementations • 18 Jan 2018 • Ferdi Kara, Hakan Kaya, Okan Erkaymaz, Ertan Ozturk

In the Decode-and-Forward (DF) relaying scheme which is one of the CC techniques, determination of the threshold value at the relay has a key role for the system performance and power usage.