Ali Özgür Yılmaz

E-mail

aoyilmaz@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-3529-6556

Scopus Author ID

7101627991

Web of Science Researcher ID

A-8392-2018

Pseudo-Random Quantization Based Two-Stage Detection in One-Bit Massive MIMO Systems Yilmaz, Gokhan; Yılmaz, Ali Özgür (2023-01-01) Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input multiple-output (MIMO) systems is a practical solution to decrease power consumption. The performance gap between the low and hi...
A Fully-Implantable Mems-Based Autonomous Cochlear Implant Külah, Haluk; Ulusah, Hasan; Chamanian, Salar; BATU, AYKAN; UĞUR, MEHMET BİROL; Yüksel, Muhammed Berat; Yılmaz, Ali Özgür; YİĞİT, HURŞİT; Koyuncuoglu, Aziz; TOPÇU, ÖZLEM; Soydan, Alper K. (2022-01-01) © 2022 IEEE.This paper reports a fully implantable, MEMS-based, low-power, energy harvesting, next generation cochlear implant (CI). The implant includes multi-frequency piezoelectric transducers for sound detection and en...
A Bound Based Method for Beamformer Design in Downlink Cloud Radio Access Networks Kadan, Fehmi Emre; Yılmaz, Ali Özgür (2021-10-01) Cloud Radio Access Network is a candidate solution in 5G and beyond where we intend to serve as many users as possible with minimum transmit power and minimum fronthaul data transmission. In this study, we aim to maximize ...
Beamformer Design With Smooth Constraint-Free Approximation in Downlink Cloud Radio Access Networks Kadan, Fehmi Emre; Yılmaz, Ali Özgür (2021-01-01) It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution of this problem is to use the multi-cell cooperation idea. In Cloud Radio Access Network, which is...
A Theoretical Performance Bound for Joint Beamformer Design of Wireless Fronthaul and Access Links in Downlink C-RAN Kadan, Fehmi Emre; Yılmaz, Ali Özgür (2021-01-01) It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution to this problem is to use the multi-cell cooperation idea. In Cloud Radio Access Network (C-RAN), ...
A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO Üçüncü, Ali Bulut; Güvensen, Gökhan Muzaffer; Yılmaz, Ali Özgür (2021-01-01) Employing low resolution analog-to-digital converters in massive multiple-input multiple-output (MIMO) has many advantages in terms of total power consumption, cost and feasibility. However, such advantages come together w...
Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference Üçüncü, Ali Bulut; Johansson, Hakan; Yılmaz, Ali Özgür (Institute of Electrical and Electronics Engineers (IEEE), 2020-02-01) Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low po...
Joint Mitigation of IQ Imbalance and Power Amplifier Impairments by Real Valued Time Delay Neural Networks Yeşil, Soner; Gürtunca, Burak; Yılmaz, Ali Özgür (2019-08-22) This paper represents a neural network based joint mitigation of the IQ imbalance and power amplifier nonlinearities that cause degradation in the transmit signal quality of the wireless communication systems. A Real Value...
Detection Schemes for High Order M-Ary QAM Under Transmit Nonlinearities Gulgun, Ziya; Yılmaz, Ali Özgür (Institute of Electrical and Electronics Engineers (IEEE), 2019-07-01) Nonlinearities in various stages of a transmitter may hinder and restrict the transmission rate. As observed in many studies, outermost constellation points are usually more adversely affected by these impairments. To obse...
Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion Yesil, Soner; Sen, Cansu; Yılmaz, Ali Özgür (2019-01-01) This paper presents an FPGA implementation of the Real Valued Time Delay Neural Network (RVTDNN) based digital predistortion with a very low resource utilization and high throughput. The implementation exploits efficient u...

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