Nick Trbovich Professor of
Electrical and Computer Engineering at Purdue University
Leader of Efficient Spectrum Usage Preeminent Team
IEEE Fellow, 2015
Editor, Wireless Communication,
IEEE Transactions on Communications (2008-2011)
Associate Editor, IEEE Transactions on Signal Processing (2011-2013)
Sample of Current Research Topics:
Wireless Signal Design for EM Exposure Constrained Systems
All wireless devices expose the user to some level of radiation. Regulatory agencies, such as the FCC, impose limits on the amount of user radiation caused by the uplink transmission of commercially available phones. This radiation is measured using the specific absorption rate (SAR). We are developing models for the effect of baseband signal design on SAR. Using these models, we are developing new signaling schemes that can i) achieve substantial performance improvement for a fixed exposure level or ii) dramatically reduce the exposure level with no decrease in performance.
Distributed MIMO and Multi-Node Communication for Low-Cost Software Radios
There is a growing interest in deploying networks of highly programmable software radios. These nodes are likely to be controlled by a centralized computation center. We are looking at transmission and reception schemes for these networks. Research challenges include dealing with the low computational ability of the nodes and the constrained communication links connecting the software radios to the centralized processor.
Millimeter Wave Wireless Communications
There is much
commercial interest in looking at "new" frequencies above 6 GHz.
The most popular bands are the millimeter wave bands, roughly in 28-100
GHz. We are looking at various architecture and signal processing
challenges related to using the large array beamforming and precoding
Spectrum Sensing and Spectrum Adaptation
allocations may be flexible, allowing multiple networks to share the
same band. In lightly licensed and unlicensed bands, a network
can improve spectral efficiency by adapting to the time-frequency usage
of other networks sharing the same band. We are developing and
implementing spectrum sensors for these settings. We are also
interested in public policy issues related to spectrum regulation.
Software Radio and Spectrum Competitions
For the last ten
years, we have been very active in software radio experiments using
USRP and WARP platforms. We were a finalist in the DARPA Spectrum
Challenge and are currently preparing for the DARPA Spectrum
Collaboration Challenge (SC2). We are developing a new testbed at Purdue to perform sophisticated multi-node experiments on campus.
Other Current and Past Research interests:
MIMO (single, multiple user, network, and massive) wireless systems
Signaling for reduced EM exposure
Low-cost, low-power networks
Wireless power transfer
Massive MIMO and other large array communication systems
MIMO signal processing for medical imaging
Common information broadcasting wireless systems
Feedback in Gaussian channels
Multihop wireless systems
Codes on manifolds (Grassmann and Riemannian)
Any kind of
adaptive communication system
IEEE Style Bio
David J. Love (S’98 - M’05 - SM'09 - F'15) received the B.S. (with highest honors), M.S.E., and Ph.D. degrees in electrical engineering from the University of Texas at Austin in 2000, 2002, and 2004, respectively. Since 2004, he has been with the School of Electrical and Computer Engineering at Purdue University, where he is now the Nick Trbovich Professor of Electrical and Computer Engineering and leads the College of Engineering Preeminent Team on Efficient Spectrum Usage. He served as an Editor for the IEEE Transactions on Communications, an Associate Editor for the IEEE Transactions on Signal Processing, and a guest editor for special issues of the IEEE Journal on Selected Areas in Communications and the EURASIP Journal on Wireless Communications and Networking. His research interests are in the design and analysis of broadband wireless communication systems, 5G wireless systems, multiple-input multiple-output (MIMO) communications, millimeter wave wireless, software defined radios and wireless networks, coding theory, and MIMO array processing.
He has significant industry experience working with Texas Instruments and working with leading wireless companies through research at Purdue. He has around 30 U.S. patent filings, 27 of which have issued. He currently co-advises a team in the DARPA Spectrum Collaboration Challenge (SC2) and co-advised the Purdue team that was a finalist in the DARPA Spectrum Challenge.
Dr. Love has been recognized as an IEEE Fellow and Thomson Reuters Highly Cited Researcher (2014 and 2015). In 2014 and 2015, he was included in the Thomson Reuters list of “The World’s Most Influential Scientific Minds”. From 2012-2017, he was a Purdue University Faculty Scholar. He is a Fellow of the Royal Statistical Society, and he has been inducted into Tau Beta Pi and Eta Kappa Nu. Along with his co-authors, he won best paper awards from the IEEE Communications Society (2016 IEEE Communications Society Stephen O. Rice Prize), the IEEE Signal Processing Society (2015 IEEE Signal Processing Society Best Paper Award), and the IEEE Vehicular Technology Society (2009 IEEE Transactions on Vehicular Technology Jack Neubauer Memorial Award). He has received multiple IEEE Global Communications Conference (Globecom) best paper awards. He was the recipient of the Fall 2010 Purdue HKN Outstanding Teacher Award, Fall 2013 Purdue ECE Graduate Student Association Outstanding Faculty Award, Spring 2015 Purdue HKN Outstanding Professor Award, and Fall 2017 Purdue HKN Outstanding Professor Award. He was an invited participant to the 2011 NAE Frontiers of Engineering Education Symposium and 2016 EU-US NAE Frontiers of Engineering Symposium. In 2003, he was awarded the IEEE Vehicular Technology Society Daniel Noble Fellowship.