Hamed Hojatian
Ph.D. in Electrical Engineering
Research Engineer @ Huawei
IEEE journals reviewer for JSAC, TWC, TCOM, WCL, CL, and TVT.
Intro
I am a senior research engineer at Huawei in Ottawa, Canada. I obtained my B.Sc. degree in electrical engineering from the Babol Noshirvani University of Technology (BNUT), Babol, Iran, in 2014, and later earned an M.Sc. degree in wireless communication systems engineering from the Isfahan University of Technology (IUT), Isfahan, Iran, in 2017. In 2023, I successfully completed my Ph.D. with the Department of Electrical Engineering at Polytechnique Montréal, Montréal, QC, Canada. I have practical experience in 3G and LTE RAN planning and optimization. My current research pursuits encompass applied machine/deep learning in wireless communications, MIMO communication systems, signal processing, and optimization.
News
Accepted paper in IEEE GlobeCom 2022
Our paper with title " Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming " is accepted for IEEE GlobeCom 2022.
Accepted paper in IEEE Communications Letters
The paper we submitted to IEEE Communications Letters has been accepted for publication. The simulation source code is avaible here.
Accepted paper in IEEE Transaction on Wireless Communications
A paper that we submitted to the IEEE Transaction on Wireless Communications has been accepted for publication. The simulation source code is avaible here.
Accepted paper in IEE ICC 2020
Our paper on using a DNN to perform MIMO beamforming using only RSSI values has been accepted for IEEE ICC 2020
Expertise
Wireless communications
Deep learning
Signal processing
Massive MIMO
Meta and Few shot learning
Education
Polytechnique Montréal affiliate with University dé Montréal (UdM)
Doctor of Philosophy
AI-aided wireless communication. On going ...
Isfahan University of Technology (IUT)
Master of Electrical and Computer Engineering
My master's thesis focused on the synchronization of time and frequency in a massive MIMO multiuser system uplink with frequency errors. Considering carrier frequency offset (CFO) and ICI in OFDM systems, I developed a method for jointly estimating the channel and CFO. My research has been extended to the design of a low-complexity receiver capable of compensating for CFOs and detecting symbols. As a result of my thesis, a paper was published in an IEEE conference.
Babol Noshirvani University of Technology (BNUT)
Supervisor:
Dr. Hossein Miare Naimi
Bachelor of Electrical and Computer Science
My thesis focused on the simulation of OFDM and OFDMA multi-user transmitters and receivers. Simulations were conducted in MATLAB.
EXPERIENCE
Huawei
Senior Research Engineer
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Ericsson
Research Intern
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Polytechnique Montréal affiliate University dé Montréal (UdM)
Research Associate
Prior to becoming a PhD researcher, I was a research associate in Dr. François Leduc-Primeau's lab.
Naghshe-Aval-Keyfiat (NAK) affiliate Mobile Company of Iran (MCI)
RF planner and optimizer
I began my career with the planning team, focusing on 3G and LTE. I became familiar with network optimization during my planning tasks. Due to my academic background and experience in network planning, I was able to join the Tehran project's network optimization team. In the beginning, I was a BSC owner, then I became a RNC owner of Tehran's network.
11th nathionwide Robotics competition
Vice-president
I was honored to be Vice-president of nationwide Robatics competition.
Publications
Journal Papers
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• H. Hojatian, J. Nadal, J-F. Frigon, and F. Leduc-Primeau,
"Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming", IEEE Transactions on Wireless Communications.
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• H. Hojatian, J. Nadal, J-F. Frigon, and F. Leduc-Primeau,
"Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning", IEEE Communications Letters.
Conference Papers
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• H. Hojatian, J. Nadal, J-F. Frigon, and F. Leduc-Primeau,
"Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming", IEEE GlobeCom 2022.
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• H. Hojatian, Vu N. Ha, J. Nadal, J-F. Frigon, and F. Leduc-Primeau,
"RSSI-Based Hybrid Beamforming Design with Deep Learning", IEEE ICC 2020.
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• H. Hojatian, MJ. Omidi, H. Saeedi-Sourck, A. Farhang,
"Joint CFO and Channel Estimation in OFDM-based Massive MIMO Systems", IEEE IST 2016.