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

  • 12 Similar Profiles
Code division multiple access Engineering & Materials Science
Multiuser detection Engineering & Materials Science
Transmitters Engineering & Materials Science
Communication Engineering & Materials Science
Antennas Engineering & Materials Science
Beamforming Engineering & Materials Science
Base stations Engineering & Materials Science
Channel state information Engineering & Materials Science

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Projects 2010 2022

Research Output 1976 2020

Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios

Arafa, A., Shin, W., Vaezi, M. & Poor, H. V., Jan 1 2020, In : IEEE Transactions on Information Forensics and Security. 15, 1, p. 210-222 13 p., 8691580.

Princeton University

Research output: Contribution to journalArticle

Base stations
Electric power transmission networks
Flow simulation
Power transmission
2 Citations (Scopus)

A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid

Tushar, W., Saha, T. K., Yuen, C., Morstyn, T., McCulloch, M. D., Poor, H. V. & Wood, K. L., Jun 1 2019, In : Applied Energy. 243, p. 10-20 11 p.

Princeton University

Research output: Contribution to journalArticle


Amplitude constrained MIMO channels: Properties of optimal input distributions and bounds on the capacity

Dytso, A., Goldenbaum, M., Poor, H. V. & Shamai (Shitz), S., Feb 1 2019, In : Entropy. 21, 2, 200.

Princeton University

Research output: Contribution to journalArticle

Open Access
MIMO (control systems)

An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel

Yagli, S., Dytso, A., Poor, H. V. & Shamai Shitz, S., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1907-1911 5 p. 8849318. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

Princeton University

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

Upper bound
Gaussian Noise