IEEE Toronto Section


Robust Beamforming Design: A New Approach

Wednesday June 7, 2017 at 2:00 p.m. Mostafa Medra, PhD. Candidate, will be presenting “Robust Beamforming Design: A New Approach”.

Day & Time: Wednesday June 7, 2017
2:00 p.m. – 3:00 p.m.

Speaker: Mostafa Medra, PhD. Candidate
Dept. of Electrical & Computer Engineering
McMaster University

Location: Room BA 2145
40 St. George Street
Toronto, ON M5S 2E4

Contact: Eman Hammad

Event Link:

Abstract: Due to the increasing demand for higher data rates, spatial multiplexing received a lot of attention. The ability of a base station to do beamforming so that it can serve multiple users at the same time slot and frequency can provide significantly higher rates. When the channel state information is assumed to be perfectly known at the transmitter, designs as the zeroforcing, regularized zero-forcing and maximum ratio transmission can be applied. Those conventional methods are typically of low complexity. In reality the channel state information is estimated and estimation errors are inevitable. Many beamforming designs tried to incorporate the channel uncertainty model into the design problem. While those robust designs normally work better than the conventional designs, their computational complexity is usually much higher. Today we will provide a new approach to dealing with robust beamforming design that is of low- complexity and performs significantly better than both conventional and current robust methods.

Biography: Mostafa Medra (S’06-M’16) received the B.Sc. and M.Sc. degrees, both in Electrical Engineering, from Alexandria University, Alexandria, Egypt in 2009 and 2013, respectively. Since the fall of 2013, he has been working towards his Ph.D. degree at McMaster University, Hamilton, Ontario, Canada. He held a research position with the Spirtonic research team in 2012-2013, working on digital signal processing for non-destructive testing using ultrasonic waves. His current research interests include MIMO communications, optimization, wireless communications and signal processing.

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