Gökhan Muzaffer Güvensen

E-mail
guvensen@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
Scopus Author ID
Web of Science Researcher ID
A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO
Üçüncü, Ali Bulut; Güvensen, Gökhan Muzaffer; Yılmaz, Ali Özgür (2021-01-01)
IEEEEmploying 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 togeth...
An Efficient Interference-Aware Constrained Massive MIMO Beamforming for mm-Wave JSDM
Bayraktar, Murat; Güvensen, Gökhan Muzaffer (2021-01-01)
Low-complexity beamformer design with practical constraints is an attractive research area for hybrid analog/digital systems in mm-wave massive multiple-input multiple-output (MIMO). This paper investigates interference-aw...
A General Framework and Novel Transceiver Architecture Based on Hybrid Beamforming for NOMA in Massive MIMO Channels
Bayraktar, Murat; Güvensen, Gökhan Muzaffer (2020-06-01)
© 2020 IEEE.In this paper, a generic user-grouping based hybrid beamforming framework for mm-wave massive MIMO systems with code domain non-orthogonal multiple access (NOMA), which is considered as an intra-group process, ...
An Adaptive Hybrid Beamforming Scheme for Time-Varying Wideband Massive MIMO Channels
Kurt, Anıl; Güvensen, Gökhan Muzaffer (2020-06-01)
© 2020 IEEE.In this paper, adaptive hybrid beamforming methods are proposed for millimeter-wave range massive MIMO systems considering single carrier wideband transmission in uplink data mode. A statistical analog beamform...
On the Effects of PA Nonlinearities for Hybrid Beamforming Based Wideband Massive MIMO Systems
Salman, Murat Babek; Güvensen, Gökhan Muzaffer (2020-06-01)
© 2020 IEEE.In this paper, we present a general framework for the investigation of the effects of power amplifier (PA) non-linearities on the hybrid beamforming based massive multiple-input multiple-output (MIMO) systems. ...
An efficient spatial channel covariance estimation via joint angle-delay power profile in hybrid massive MIMO systems
Kalayci, Ali Osman; Güvensen, Gökhan Muzaffer (2020-06-01)
© 2020 IEEE.In this paper, an efficient construction method for channel covariance matrices (CCMs) together with joint angle-delay power profile (JADPP) and sparsity map estimation is proposed for single-carrier (SC) mm-wa...
Turbo Parametric Spectral Estimation Method of Clutter Profile for Adaptive Radar Detection
Eraslan, Berna; Güvensen, Gökhan Muzaffer; Tanık, Yalçın (2020-06-01)
© 2020 IEEE.Identification of unwanted components of a received echo is critical to improving the radar detection performance. Previously proposed parametric parameter estimation methods, such as MUSIC, ESPRIT, and Burg we...
Spatial Correlation in Single-Carrier Massive MIMO Systems
Beigiparast, Nader; Güvensen, Gökhan Muzaffer; Ayanoglu, Ender (2020-02-02)
© 2020 IEEE.We present the analysis of a single-carrier massive MIMO system for the frequency selective Gaussian multi-user channel, in both uplink and downlink directions. We develop expressions for the achievable sum rat...
A Novel Neural Network Architecture for Radar Clutter Classification
Eraslan, Berna; Güvensen, Gökhan Muzaffer; Tanık, Yalçın (2020-01-01)
In recent years, potential capabilities of modern radars have become tremendous, with rapid advances in electronics and software technologies. If the radar system processes received echoes based on clutter characteristics,...
A subspace-aware kelly's detector using reduced secondary data with fast and slow time preprocessing
Saraç, Uğur Berkay; Güvensen, Gökhan Muzaffer (2019-04-01)
In homogeneous clutter environments, as the number of secondary cells used increases and eventually goes to infinity, the performance of the adaptive detectors increase and eventually goes to the performance of the max-SIN...
Citation Formats