2 citations · 4 across the 12 of their papers we have counts for
14 papers
RAG-driven Multi-Agent LLM Framework with Task Decomposition for Beyond 5G Auto-Configuration
İrşat Emin Sarıdaş, Onur Salan, Ali Görçin +2
While Large Language Models (LLMs) offer a promising path toward intent-driven network management by translating natural language human intents into machine-readable configurations…
Deep Semantic Segmentation for Multi-Source Localization Using Angle of Arrival Measurements
Mustafa Atahan Nuhoglu, Hakan Ali Cirpan
This paper presents a solution for multi source localization using only angle of arrival measurements. The receiver platform is in motion, while the sources are assumed to be stati…
Quasisynchronous LoRa for LEO Nanosatellite Communications
Hasan Gokhan Uysal, Ferkan Yilmaz, Hakan Ali Cirpan +2
Perfect synchronization in LoRa communications between Low Earth Orbit (LEO) satellites and ground base stations is still challenging, despite the potential use of atomic clocks in…
Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems
Ubeydullah Erdemir, Batuhan Kaplan, İbrahim Hökelek +2
This paper presents field measurement-based channel characterization for air--to--ground (A2G) and air--to--air (A2A) wireless communication systems using two drones equipped with…
Time-Frequency Warped Waveforms for Well-Contained Massive Machine Type Communications
Mostafa Ibrahim, Huseyin Arslan, Hakan Ali Cirpan +1
This paper proposes a novel time-frequency warped waveform for short symbols, massive machine-type communication (mMTC), and internet of things (IoT) applications. The waveform is…
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising
Sedat Ozer, Enes Ilhan, Mehmet Akif Ozkanoglu +1
Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote server helps improve the battery life and can help reduce resource requirements. Deep learn…
Centralized and Decentralized ML-Enabled Integrated Terrestrial and Non-Terrestrial Networks
Mehmet Ali Aygul, Halise Turkmen, Mehmet Izzet Saglam +2
Non-terrestrial networks (NTNs) are a critical enabler of the persistent connectivity vision of sixth-generation networks, as they can service areas where terrestrial infrastructur…
Identification of Distorted RF Components via Deep Multi-Task Learning
Mehmet Ali Aygul, Ebubekir Memisoglu, Hakan Ali Cirpan +1
High-quality radio frequency (RF) components are imperative for efficient wireless communication. However, these components can degrade over time and need to be identified so that…
Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation
Merve Turhan, Ersin Öztürk, Hakan Ali Çırpan
In this paper, a deep convolutional neural network-based symbol detection and demodulation is proposed for generalized frequency division multiplexing with index modulation (GFDM-I…
Deep Learning-Aided Spatial Multiplexing with Index Modulation
Merve Turhan, Ersin Ozturk, Hakan Ali Cirpan
In this paper, deep learning (DL)-aided data detection of spatial multiplexing (SMX) multiple-input multiple-output (MIMO) transmission with index modulation (IM) (Deep-SMX-IM) has…
Reference Signal-Aided Channel Estimation in Spatial Media-Based Modulation Systems
Akif Kabacı, Mehmet Başaran, Hakan Ali Çırpan
In this letter, we study the reference signal-aided channel estimation concept which is a crucial requirement to address the realistic performance of spatial media-based modulation…
Deep Receiver Design for Multi-carrier Waveforms Using CNNs
Yasin Yildirim, Sedat Ozer, Hakan Ali Cirpan
In this paper, a deep learning based receiver is proposed for a collection of multi-carrier wave-forms including both current and next-generation wireless communication systems. In…
Measurement based FHSS-type Drone Controller Detection at 2.4GHz: An STFT Approach
Batuhan Kaplan, İbrahim Kahraman, Ali Görçin +2
The applications of the unmanned aerial vehicles (UAVs) increase rapidly in everyday life, thus detecting the UAVs and/or its pilot is a crucial task. Many UAVs adopt frequency hop…
Measurement Based Statistical Channel Characterization of Air-to-Ground Path Loss Model at 446 MHz for Narrow-Band Signals in Low Altitude UAVs
Burak Ede, Serhan Yarkan, Ali Rıza Ekti +3
Powered by the advances in microelectronics technologies, unmanned aerial vehicles (UAVs) provide a vast variety of services ranging from surveillance to delivery in both military…