7 papers · 1 filter
Rethinking NB-IoT Downlink Synchronization for LEO-NTN: A Novel Overhead Reduction Method and Measurement-Based Evaluation
Ömer Lütfü Karakelle, Erhan Karakoca, Bengü Bilgiç Keskin +3
Narrowband Internet of Things (NB-IoT) over non-terrestrial networks (NTN) is a key enabler for massive Internet of Things (IoT) in 6G, but in low Earth orbit (LEO) scenarios, larg…
Novel Deep Neural OFDM Receiver Architectures for LLR Estimation
Erhan Karakoca, Hüseyin Çevik, İbrahim Hökelek +1
Neural receivers have recently become a popular topic, where the received signals can be directly decoded by data driven mechanisms such as machine learning and deep learning. In t…
RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT
Ahmet Esad Güneşer, Berkay Şekeroğlu, Sefa Kayraklık +4
This paper evaluates the performance of reconfigurable intelligent surface (RIS) optimization algorithms, which utilize channel estimation methods, in ray tracing (RT) simulations…
Channel Estimation Using RIDNet Assisted OMP for Hybrid-field THz Massive MIMO Systems
Hasan Nayir, Erhan Karakoca, Ali Görçin +1
The terahertz (THz) band radio access with larger available bandwidth is anticipated to provide higher capacities for next-generation wireless communication systems. However, highe…
Measurement-Based Modeling of Short Range Terahertz Channels and Their Capacity Analysis
Erhan Karakoca, Hasan Nayir, Güneş Karabulut Kurt +1
In this work, extensive propagation characteristics of short range 240 to 300 GHz terahertz (THz) channels are mapped based on a measurement campaign conducted utilizing a novel, t…
RIDNet Assisted cGAN Based Channel Estimation for One-Bit ADC mmWave MIMO Systems
Erhan Karakoca, Hasan Nayir, Ali Görçin +1
The estimation of millimeter wave (mmWave) massive multiple input multiple output (MIMO) channels becomes compelling when one-bit analog to digital converters (ADCs) are utilized.…