November 23, 2015

Professor David Love receives Best Paper Award from IEEE Signal Processing Society

Professor David Love
Professor David Love
The paper was titled "Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory"

Professor David Love received the 2015 Best Paper award from the IEEE Signal Processing Society for his paper titled "Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory". Co-authors were Dr. Junil Choi, postdoc researcher at University of Texas, Austin, and Patrick Bidigare, Technology Director at BBN Technologies.

The Best Paper Award honors the author(s) of a paper of exceptional merit dealing with a subject related to the Society’s technical scope, and appearing in one of the Society’s solely owned transactions or the Journal of Selected Topics in Signal Processing, irrespective of the author’s age. The prize shall be $500 per author (up to a maximum of $1500 per award) and a certificate.