90 citations · 475 across the 81 of their papers we have counts for
12 papers · 2 filters
CSI-Aging-Aware Functional Split Optimization and KAN-LSTM Prediction for Open-RAN NTN
Alexandar Tsvetanov Dimitrov, Yosefine Triwidyastuti, Eray Guven +2
In this paper, we study functional-split selection for an Open radio access network (RAN) deployed as a non-terrestrial network (NTN), in which a low-Earth-orbit (LEO) satellite ho…
Secrecy Performance of an Artificial Noise Aided Dual-Hop SWIPT MIMO-NOMA Network in Presence of Practical Impairments
Büşra Demirkol, Oğuz Kucur, Güneş Karabulut Kurt
This paper investigates the secrecy performance of a cooperative non-orthogonal multiple access (NOMA) network under practical impairments. In the considered system, the source emp…
AI-Enabled Wireless Propagation Modeling and Radio Environment Maps for 5G Aerial Wireless Networks
Gautham Reddy, Kürşat Tekbıyık, Bryton Petersen +3
With the gaining prominence of aerial mobility applications, their success depends on the seamless integration of terrestrial and non-terrestrial network connectivity. However, pro…
Inverse Maxwell-Based Wall-Aware OFDM-ISAC for Slow-Moving Target Sensing
Tri Nhu Do, Yosefine Triwidyastuti, Gunes Karabulut Kurt
In this paper, we study integrated sensing and communication (ISAC) for short-range indoor orthogonal frequency-division multiplexing (OFDM) systems in which the sensing path cross…
Fourth-Order Co-Channel Interference-Aware OFDM-ISAC Sensing in Cluttered Environments
Tri Nhu Do, Yosefine Triwidyastuti, Gunes Karabulut Kurt
In this paper, we develop a sensing-centric receiver for monostatic orthogonal frequency-division multiplexing integrated sensing and communication (OFDM-ISAC) in the simultaneous…
Is Forecasting Accuracy Enough? A Comparative Study of Traffic Forecasters for Beam-Hopping LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
We evaluate diverse models for user traffic demand forecasting in Low Earth Orbit (LEO) satellite networks with Beam Hopping (BH), questioning whether predictive accuracy is the ri…
Multi-Agent Reinforcement Learning for Joint Handover Management and Power Allocation in Multi-Orbit Satellite Networks
Yassine Afif, Ashutosh Balakrishnan, Philippe Martins +3
Future sixth-generation non-terrestrial networks are expected to combine low Earth orbit (LEO), medium Earth orbit (MEO), and geostationary Earth orbit (GEO) satellites, whose comp…
The Impact of Demand Forecasting on Delay and Jitter in DVB-Based Beam-Hopping LEO Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
In LEO satellite networks utilizing beam hopping (BH), resource allocation plans must be committed well in advance. This inherent operational delay necessitates predicting future u…
Space-Based GNSS Radio Frequency Interference Detection Evaluation Through Multi-Satellite Data Integration
Anouar Boumeftah, Peter Klimas, Gunes Karabulut Kurt
Space-based GNSS reflectometry (GNSS-R) can detect terrestrial radio frequency interference (RFI) through elevated noise power in delay-Doppler map forbidden zones. This study eval…
Experimental Demonstration of a Real Time Wideband OFDM Generation in Sub-THz
Eray Güven, Nesrine Benchoubane, Güneş Karabulut Kurt
Sub-terahertz (Sub-THz) wireless communications and their potential applications continue to attract significant attention and foster debate on the usage of their unused frequency…
A Novel Piecewise Atmospheric Attenuation Model for Free Space Optical Links in Vertical Heterogeneous Networks
Eylem Erdogan, Mohammed Elamassie, Ibrahim Altunbas +3
Free-space optical (FSO) communication is emerging as a key backhaul technology for next-generation vertical heterogeneous networks (VHetNets), whose architecture spans satellites,…
Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stephane Martel +2
In Low Earth Orbit (LEO) satellite networks, Beam Hopping (BH) technology enables the efficient utilization of limited radio resources by adapting to varying user demands and link…