Grants per year
Personal profile
Research Interests
Professor Guo's research interests lie in blockchain technologies, wireless communications, information theory, communication networks, and signal processing. His current projects concern blockchain analysis and design, next generation cellular networks, the Internet of Things, and applications of deep learning in wireless networks.
Education/Academic qualification
Electrical Engineering, PhD, Princeton University
… → 2004
Electrical Engineering, MA, Princeton University
… → 2001
Electrical Engineering, MEng, National University of Singapore
… → 1999
Electrical Engineering & Information Science, BEng, University of Science and Technology of China
… → 1995
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Grants
CIF: Small: Wireless Massive Access: From Fundamental Limits to Practical Design
10/1/19 → 9/30/22
Project: Research project
HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Hartline, J. D., Auerbach, E. J., Berry, R. A., Canay, I. A., Guo, D., Horowitz, J. L., Makarychev, K., Vijayaraghavan, A. & Wang, Z.
9/15/19 → 8/31/22
Project: Research project
Collaborative Research: Virtual Full-Duplex Wireless Networking
9/1/12 → 8/31/15
Project: Research project
CIF:Small: Limited Feedback and Information Exchange for Wireless Systems
9/15/10 → 8/31/14
Project: Research project
Research Output
Joint Routing and Resource Allocation for Millimeter Wave Picocellular Backhaul
Rasekh, M. E., Guo, D. & Madhow, U., Feb 2020, In : IEEE Transactions on Wireless Communications. 19, 2, p. 783-794 12 p., 8886731.Research output: Contribution to journal › Article
Asynchronous Neighbor Discovery Using Coupled Compressive Sensing
Amalladinne, V. K., Narayanan, K. R., Chamberland, J. F. & Guo, D., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4569-4573 5 p. 8682935. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2
Scopus
citations
Beam Acquisition and Training in Millimeter Wave Networks with Narrowband Pilots
Zhou, H., Guo, D. & Honig, M. L., Dec 2019, In : IEEE Journal on Selected Areas in Communications. 37, 12, p. 2759-2771 13 p., 8876700.Research output: Contribution to journal › Article
2
Scopus
citations
Initial Access and Beamforming in Multi-cell mmWave Networks Using Narrowband Pilots
Zhou, H., Guo, D. & Honig, M. L., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 582-586 5 p. 8645144. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1
Scopus
citations
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Nasir, Y. S. & Guo, D., Oct 2019, In : IEEE Journal on Selected Areas in Communications. 37, 10, p. 2239-2250 12 p., 8792117.Research output: Contribution to journal › Article
8
Scopus
citations