Organization profile
Organization profile
NextG research at Princeton draws on multiple disciplines and ranges from underlying theory to high-impact applications. From the edge to the cloud, and from circuits to sensors to security, Princeton researchers are creating the intelligent networks of the future.
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Dive into the research topics where NextG is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Research output
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A Regional and Data-Centered Approach to Workforce Development in an AI Economy
Oakma, J., Rexford, J., Metzgar, R. C. & d’Oleire Uquillas, F., 2026, Coresource 4. John Wiley and Sons Inc., p. 227-245 19 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Deep Learning-Based Secure Scheduling and Cooperative Artificial Noise Generation in LEO Satellite Networks
Lee, Y., Kim, T., Bang, I., Panayirci, E. & Poor, H. V., 2026, In: IEEE Wireless Communications Letters. 15, p. 2564-2568 5 p.Research output: Contribution to journal › Article › peer-review
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Different Policies for Different NodeBs: Comparing Downlink Schedulers in Cellular Base Stations
Zhang, Z., Larrea, J., Huddleston, J., Wan, H., Mok, R. K. P., Huffaker, B., Claffy, K. C., Jamieson, K., Marder, A. & Schulman, A., 2026, Passive and Active Measurement - 27th International Conference, PAM 2026, Proceedings. Ferlin-Reiter, S., Fontugne, R. & Ullrich, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-246 16 p. (Lecture Notes in Computer Science; vol. 16477 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution