2024 : 11 : 21
فارسی
Reza Mohammadkhani
Academic rank:
Assistant Professor
ORCID:
Education:
PhD.
ScopusId:
24529045400
HIndex:
Faculty:
Faculty of Engineering
Address:
Phone:
E-mail:
r.mohammadkhani [at] uok.ac.ir
Home
Education
Courses
Research activities
Research interests
Students
Education
BSc. in Electronics Engineering , Isfahan University of Technology , Iran
(1996 - 2001)
Thesis title: Design and fabrication of a non-linear power amplifier with input power of 1 mWatt and output power greater than 2Watt in 50 MHz
MSc. in Telecommunications , Iran University of Science and Technology , Iran
(2001 - 2004)
Thesis title: Sidelobe Interference Suppression in Fully and Partially Adaptive Array Radars
PhD. in Signal Processing and Communication Systems , University of Edinburgh , UK
(2008 - 2012)
Thesis title: Adaptive Impedance Matching to Compensate Mutual Coupling Effects on Compact MIMO Systems
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Courses
Bachelor Of Science
Engineering Probability and Statistics
Engineering Mathematics
Signals and Systems
Master Of Science
Antenna Array Processing and MIMO Wireless Communications
Wireless Communications
Advanced Digital Communications
Stochastic Processes
Research activities
Journal Papers
BER Performance Analysis of Coarsely Quantized Uplink Massive MIMO
Azad Azizzadeh, Reza Mohammadkhani, Seyed Vahab Al-Din Makki, Emil Björnson (2019)
Adaptive Uncoupled Termination for Coupled Arrays in MIMO Systems
Reza Mohammadkhani, John Thompson (2013)
Modification of Sidelobe Canceller System in Planar Arrays
Nader Komjani, Reza Mohammadkhani (2006)
Conference Papers
Uplink Spectral and Energy Efficiency Analysis of Low Resolution Quantized-Massive MIMO Systems
Sogol Moshirvaziri, Reza Mohammadkhani (2019)
Beam Switching Techniques for Millimeter Wave Vehicle to Infrastructure Communications
Hamed Mohammadi, Reza Mohammadkhani (2017)
BER Performance of Uplink Massive MIMO With Low-Resolution ADCs
Azad Azizzadeh, Reza Mohammadkhani, Seyed Vahab Al-Din Makki (2017)
Safety Improvement in Millimeter Wave Vehicle-to-Infrastructure Communications
Hamed Mohammadi, Adnan Faizi, Reza Mohammadkhani (2017)
Beam Switching based Millimeter Waves for Multi Gigabits Services in High-Speed Trains
Hamed Mohammadi, Reza Mohammadkhani, Armin Zandsalimi (2017)
Adaptive matching for compact MIMO systems
Reza Mohammadkhani, John Thompson (2010)
Adaptive Impedance Matching to Compensate Mutual Coupling Effects on Compact MIMO Systems
Reza Mohammadkhani, John Thompson (2010)
Nonlinear Active Noise Controller Using Hammerstein Series
Reza Mohammadkhani, Mohammad Hossein Kahaie (2008)
Theses
Energy Management Optimization in Renewable Energy Based Cellular Networks
Kurosh Fathi, Reza Mohammadkhani, Farzad H. Panahi (2022)
Research interests
Massive MIMO for 5G Wireless Systems
mmWave Massive MIMO for 5G Wireless Systems
Cognitive Radio Wireless Systems
Interference Alignment for Wireless Networks
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Students
Name:
Salah Nouri
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Effects of Hardware Impairments on the Performance of Massive MIMO Systems
Name:
Adnan Faizi
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Hybrid Precoding in Millimeter-Wave MIMO Systems
Name:
Nastaran GolMohammadi
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Channel Estimation for Millimeter-Wave MIMO systems with One-bit ADCs
Name:
Azad Azizzadeh
AcademicLevel:
PHD
Field:
Communication Systems
Thesis:
Quantization Error Effects of Low-resolution ADCs on the Performance of Massive MIMO Systems
Name:
Nilufar Mohammadifard
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Channel Modeling of Millimeter-Wave Wireless Communications
Name:
Sogol Moshirvaziri
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Energy Efficiency of Massive MIMO Systems
Name:
Arman Kianpour
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Optimal DoF of Interference Alignment in MIMO Systems with Delayed-CSIT
Name:
Hamed Mohammadi
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Beam Alignment for Millimeter-Wave Vehicular Communications
Name:
Norollah Davodian
AcademicLevel:
Master
Field:
Telecommunications
Thesis:
Energy Efficiency of Cognitive Radio Wireless Systems
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