• Low-cost top stage incubator for live cell imaging applications 

  Özbilgin, Zeynep; Toy, Muhammed Fatih; Akşit, Sevdenur (Institute of Electrical and Electronics Engineers Inc., 2021)

  A top stage incubator is an essential equipment for long term imaging of live cells on a standard microscope. A low cost alternative to off-The-shelf top stage incubators is realized by using 3D printing technology. A ...

• Efficient spectral access in distributed cooperative cognitive radio networks 

  Tayyab Shah, Syed M.; Hamood, Moqbel A.; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  The cognitive users (CUs) in the cooperative communication may serve as relay nodes for conveying the signal received from the primary users (PUs) to their destinations, provided that both the PUs and the CUs minimum rate ...

• Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation 

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

  In sparse coding-based channel estimation, atom selection is based on jointly minimizing the sparsity and the error of the representation of the noisy measurement. However, this selection is not necessarily optimal in terms ...

• A novel frame design for integrated communication and sensing based on position modulation 

  Rafique, Saira; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  In this paper, a novel frame design for integrated communication and sensing is proposed. The proposed frame structure consists of Barker radar sequence and binary phase shift keying (BPSK) modulated data bits. The temporal ...

• Physical effect of in-phase and quadrature imbalance in delay-doppler domain 

  Tusha, Armed; Doğan Tusha, Seda; Yılmaz, Ferkan; Althunibat, Saud; Qaraqe, Khalid; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)

  Orthogonal time frequency space (OTFS) technique is a recent two-dimensional (2-D) modulation aiming to exploit both time and frequency selectivity of doubly dispersive wireless channel, which significantly affects the ...

• Joint radar and communication based blind signal separation using a new non-linear function for Fast-ICA 

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

  Joint radar and communication (JRC) is a fast emerging research field to cope up with the ever-growing applications dependent on both sensing and communication. However, frequent issues are faced for JRC systems including ...

• Efficient power allocation for MIMO CR-NOMA networks 

  Abidrabbu, Shaima; 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 ...

• 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 ...

View more