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K.N.Toosi U. of Tech.

Faculty of Electrical Engineering

 

Department of Communications

 
Mehrdad Ardebilipour
 Associate Professor

Office:

1st Floor

Professors Bldg.,

Faculty of Electrical and Computer Engineering,

K.N. Toosi University of Technology,

Seyed-Khandan Bridge, Tehran 14317-14191, Iran.

P.O.BOX: 16315-1355 Tehran, Iran.

Phone Number: +98 (21) -84062327
FAX Number: 21-8462066
E-mail Address:  mehrdad@eetd.kntu.ac.ir
 Latest Publications
   
 

    A Akbarpour-Kasgari, M Ardebilipour, " Improving MIMO relay compressed sensing-based channel estimation and pilot allocation ",EURASIP Journal on Wireless Communications and Networking, 2019.

 

    SMM Shahabi, M Ardebilipour, Y Omid " Low-complexity fairness-driven pilot decontamination schemes for multi-cell massive MIMO systems ",EURASIP Journal on Wireless Communications and Networking, 2019.

 

    A Akbarpour-Kasgari, M Ardebilipour, " Distributed Compressed Sensing-Based Channel Estimation and Pilot Allocation for MIMO Relay Networks ",Iranian Journal of Science and Technology, 2019.

 

    SMM Shahabi, M Ardebilipour, SMR Hosseini, Y Omid " Constant envelope precoding in multi-cell massive MIMO systems with channel uncertainty ",Physical Communication, 2019.

 

    Y Omid, SMM Shahabi, M Ardebilipour " Cognitive Radio and Cooperation among the Primary and Secondary Users ",27th Iranian Conference on Electrical Engineering, 2019.

 

    A Pourafzal, P Majdolashrafi, M Ardebilipour, FST Far " A Neural Network Based Levinson-Durbin Method for Adaptive Active Sensor Waveform Synthesis ",27th Iranian Conference on Electrical Engineering, 2019.

 

    ZM Bakhsh, J zeraatkar Moghadam, M Ardebilipour " Cognitive Radio and Cooperation among the Primary and Secondary Users ",27th Iranian Conference on Electrical Engineering, 2019.

 

    A Molazadeh, M Ghasimi, M Ardebilipour " A novel fast two stage method for wideband spectrum sensing ",Physical Communication, 2019.

 

    A Akbarpour-Kasgari, M Ardebilipour " Massive MIMO-OFDM Channel Estimation via Distributed Compressed Sensing ",IEEE Wireless Communications Letters, 2018.

 

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