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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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: MLWiNS: ANN for Interference Limited Wireless Networks
6/1/20 → 5/31/23
Project: Research project
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CIF: Small: Wireless Massive Access: From Fundamental Limits to Practical Design
10/1/19 → 9/30/22
Project: Research project
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HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Hartline, J. D., Berry, R. A., Canay, I. A., Vijayaraghavan, A., Wang, Z., Auerbach, E. J., Guo, D., Horowitz, J. L., Khuller, S. & Makarychev, K.
9/15/19 → 8/31/22
Project: Research project
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SII Planning Grant: National Center for Radio Spectrum Innovations (NCRSI)
Honig, M. L., Berry, R. A. & Guo, D.
University of Notre Dame, National Science Foundation
8/15/20 → 7/31/21
Project: Research project
Research Output
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Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
Sinan Nasir, Y. & Guo, D., Nov 1 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 398-402 5 p. 9443301. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Grant-Free NOMA with Device Activity Learning Using Long Short-Term Memory
Miao, X., Guo, D. & Li, X., Jul 2020, In: IEEE Wireless Communications Letters. 9, 7, p. 981-984 4 p., 9017984.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Importance- And Channel-Aware Scheduling in Cellular Federated Edge Learning
Ren, J., He, Y., Wen, D., Yu, G., Huang, K. & Guo, D., Nov 1 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 294-298 5 p. 9443300. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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 › peer-review
3 Scopus citations -
Liveness and Consistency of Bitcoin and Prism Blockchains: The Non-lockstep Synchronous Case
Li, J. & Guo, D., May 2020, IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020. Institute of Electrical and Electronics Engineers Inc., 9169464. (IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution