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Personal profile

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 & Technology of China

… → 1995

Fingerprint Dive into the research topics where Dongning Guo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Wireless networks Engineering & Materials Science
Code division multiple access Engineering & Materials Science
Channel state information Engineering & Materials Science
Transmitters Engineering & Materials Science
Mean square error Engineering & Materials Science
Signal to noise ratio Engineering & Materials Science
Feedback Engineering & Materials Science
Multiuser detection Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2006 2022

Radio receivers
Signal interference
Channel estimation
Decoding
Communication systems
Learning systems
Operations research
Unsupervised learning
Engineering research
Electrical engineering
Information theory
Decoding
Transmitters
Signal processing
Students

Research Output 1998 2019

1 Citation (Scopus)

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 proceedingConference contribution

Internet of things
1 Citation (Scopus)

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 proceedingConference contribution

Maximum likelihood estimation
Beamforming
Millimeter waves
Mobile devices
Fast Fourier transforms
4 Citations (Scopus)

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 journalArticle

Channel state information
Reinforcement learning
Wireless networks
Network architecture
Power control

On Analysis of the Bitcoin and Prism Backbone Protocols in Synchronous Networks

Li, J. & Guo, D., Sep 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019. Institute of Electrical and Electronics Engineers Inc., p. 17-24 8 p. 8919692. (2019 57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Prism
Prisms
Backbone
Miners
Life Span
1 Citation (Scopus)

Cloud-based resource allocation and cooperative transmission in large cellular networks

Li, J. & Guo, D., Jan 17 2018, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, p. 455-462 8 p. (55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resource allocation
Convex optimization