Upcoming Webinar by Dr. Foad Sohabi: "Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays"

You are here

Inside Signal Processing Newsletter Home Page

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

News and Resources for Members of the IEEE Signal Processing Society

Upcoming Webinar by Dr. Foad Sohabi: "Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays"

Upcoming Webinar -  18 December 2020
Webinar Topic: "Hybrid Digital and Analog Beamforming
Design for Large-Scale Antenna Arrays"

Presenter: Dr. Foad Sohabi

Based on the IEEE Xplore® article
Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays, January 2016




Dr. Foad Sohabi 
18 December 2020
10:00 AM EDT (New York time)
Approximately 1 hour
Attendee Registration

The original article will be made freely available for download on the day of the webinar, on IEEE Xplore®


Register for the Webinar


The IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!

About this topic:

The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.

To address this hardware limitation challenge, this webinar will introduce a hybrid digital-analog beamforming architecture in which the overall beamformer consists of a low-dimensional digital beamformer followed by an RF beamformer implemented using analog phase shifters.

The aim is to show that such an architecture can approach the performance of a fully digital scheme with a much fewer number of RF chains. Specifically, the presenter established that if the number of RF chains is twice the total number of data streams, the hybrid beamforming structure can realize any fully digital beamformer exactly, regardless of the number of antenna elements. For cases with the fewer number of RF chains, he further consider the hybrid beamforming design problem for both the transmission scenario of a point-to-point multiple-input multiple-output (MIMO) system and a downlink multiuser multiple-input single-output (MU-MISO) system. For each scenario, he proposes a heuristic hybrid beamforming design that achieves a performance close to the performance of the fully digital beamforming baseline. The proposed algorithms are further modified for the more practical setting in which only finite resolution phase shifters are available. Numerical simulations show that the proposed schemes are effective even when phase shifters with very low resolution are used.

About the presenter:

Foad Sohabi

Foad Sohabi received his B.A.Sc.degree from the University of Tehran, Tehran, Iran, in 2011, his M.A.Sc. degree from McMaster University, Hamilton, ON, Canada, in 2013, and his Ph.D. degree from the University of Toronto, Toronto, ON, Canada, in 2018, all in electrical and computer engineering.

Since 2018, he has been a Post-Doctoral Fellow with the University of Toronto. In 2015, he was a Research Intern with Bell Labs, Alcatel Lucent, Stuttgart, Germany. His research interests include MIMO communications, optimization theory, wireless communications, signal processing, and machine learning.

Dr. Foad Sohabi was a recipient of the IEEE Signal Processing Society Best Paper Award in 2017.


IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel