• Reconfigurable intelligent surface (RIS): Eigenvalue decomposition-based separate channel estimation 

  Zegrar, Salah Eddine; Afeef, Liza; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  Reconfigurable intelligent surface (RIS) has recently drawn significant attention in wireless communication technologies. However, identifying, modeling, and estimating the RIS channel in multiple-input multiple-output ...

• Energy-efficient resource allocation for 5G cognitive radio NOMA using game theory 

  Abidrabbu, Shaima' S.; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)

  Cognitive radio non-orthogonal multiple access (CR-NOMA) networks promise improved spectrum utilization and capacity in 5G networks. In this work, we aim to investigate efficient power allocation for the secondary users ...

• Blind numerology identification for mixed numerologies 

  Jaradat, Ahmad; Memişoğlu, Ebubekir; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)

  5G New Radio (NR) introduces new flexibility that different numerologies can be selected to meet the requirements of a wide variety of services. For this new structure, blind numerology identification can increase system ...

• Deep learning-based optimal ris interaction exploiting previously sampled channel correlations 

  Aygül, Mehmet Ali; Nazzal, Mahmoud; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)

  The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ...

• Improving connectivity via multi-user scheduling in 5G and beyond networks 

  Salman, Hanadi; Janjua, Muhammad Bilal; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)

  In this paper, a novel, yet efficient, multi-user scheduling scheme based on mode selection and power allocation is presented for 5G and beyond networks. The proposed scheme schedules the users in co-existence (CE) and non ...

• Phase index-based receive spatial modulation PHY security against supervised pattern recognition 

  Abushattal, Abdelrahman; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)

  Receive Spatial Modulation (RSM) uses the index of the receive antenna to convey additional information bits, which reduces the receiver complexity and improves spectral efficiency. Additionally, it provides inherent ...

• Comparative performance evaluation of VLC, LTE and WLAN technologies in indoor environments 

  Zeshan, Arooba; Karbalayghareh, Mehdi; Miramirkhani, Farshad; Uysal, Murat; Baykaş, Tunçer (Institute of Electrical and Electronics Engineers Inc., 2021)

  Recent years have seen an exponential rise in the demand for indoor wireless connections that have driven future generation networks to aim for higher data rates with extended coverage and affordable rates. The two most ...

• Identification of the number of wireless channel taps using deep neural networks 

  Jaradat, Ahmad M.; Elgammal, Khaled Walid; Özdemir, Mehmet Kemal; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  In wireless communication systems, identifying the number of channel taps offers an enhanced estimation of the channel impulse response (CIR). In this work, efficient identification of the number of wireless channel taps ...

• Floating OFDM-SNM for PAPR and OOBE reduction 

  Jaradat, Ahmad M.; Hamamreh, Jehad M.; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  The novel orthogonal frequency division multiplexing with subcarrier number modulation (OFDM-SNM) transmission scheme offers high spectral and energy efficiency compared to the conventional OFDM; this is due to the extra ...

• Signal statistics based multiple AP detection for smart spectrum sharing in LTE-U/Wi-Fi coexistence 

  Ahmed, Farwa; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  For existing IEEE 802.11ax and futurist Wi-Fi standards, one of the major challenges is fair coexistence with LTE-Unlicensed/5G-New Radio (LTE-U/5G-NR) and other internet of things (IoT) paradigms. An algorithm is developed ...

• Efficient power allocation for cognitive radio NOMA using game-theoretic based pricing strategy 

  Abidrabbu, Shaima’ S.; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  Cognitive radio-based non-orthogonal multiple access (CR-NOMA) is considered to be one of the promising multiple accessing technique candidates for 5G and beyond networks. These networks are facing a lot of challenges to ...

• Geniş alan görüntülerinde anomali tespiti 

  Şahin, Abdullah Hamza; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)

  Bu çalışma hava araçlarından çekilmiş geniş alan görüntülerindeki anomalileri tespit etmek ile ilgilidir. Anomali kümesi normal seyrin dışındaki her şey olarak belirlenmiştir. Bu amaçla iki farklı veri seti kullanılmış ve ...

• Improved YOLOv4 for aerial object detection 

  Ali, Sharoze; Siddique, Arslan; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)

  Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ...

• Low-complexity deep learning-based beamforming in MISO systems 

  Thet, Nann Win Moe; Elgammal, Khaled Walid; Ateş, Hasan Fehmi; Özdemir, Mehmet Kemal (Institute of Electrical and Electronics Engineers Inc., 2021)

  This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ...

• Analysis of deep learning based path loss prediction from satellite images 

  Alam, Muhammad Zeshan; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)

  Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ...

• Multi-functional coexistence of radar-sensing and communication waveforms 

  Şahin, Mehmet Mert; Arslan, Hüseyin (IEEE-Institute of Electrical and Electronics Engineers Inc., 2020)

  In this study, a novel transmission scheme is proposed to serve radar-sensing and communication objectives at the same time and allocated bandwidth. The proposed transmitted frame non-orthogonally superimposes two different ...

• Design and implementation of an X-band passive RFID tag 

  Senadeera, Praharshin M.; Xie, Zhijian; Doǧan, Numan S.; Savcı, Hüseyin Şerif (Institute of Electrical and Electronics Engineers Inc., 2020)

  This paper presents a novel fully integrated energy harvester, multi-stage RF-DC rectifier, mode selector, RC oscillator, LC oscillator, and X-band power amplifier implemented in IBM 0.18-µm RF CMOS technology. We investigated ...

• Compressed sensing structured illumination microscopy 

  Özgürün, Baturay; Çetin, Müjdat (IEEE-Institute of Electrical and Electronics Engineers Inc, 2020)

  We propose a new framework for super-resolution structured illumination microscopy (SR-SIM) based on compressed sensing (CS). Our framework addresses several key problems in SIM, including long readout time and photobleaching. ...

• Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems 

  Aygül, Mehmet Ali; Furqan, Haji Muhammad; Nazzal, Mahmoud; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2020)

  Cognitive radio (CR)-based internet of things systems can be considered as an efficient solution for futuristic smart technologies. However, CRs are naturally vulnerable to two major security threats; primary user emulation ...

• 5G/6G uygulamaları için 65nm CMOS ile 6GHz düşük gürültülü yükselteç tasarımı 

  Eren, Tamer; Oktay, Zehra Nur; Doğan, Hakan; Savcı, Hüseyin Şerif (Institute of Electrical and Electronics Engineers Inc., 2020)

  It is envisaged that 6G network technology will be popular due to its higher working frequencies than 5G networks, and this will ensure higher data rates, greater capacity and lower latency. 6G mobile technology will support ...

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