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Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas
Publication Type: Academic Journal
Source(s): Entropy, Vol 24, Iss 1047, p 1047 (2022)
Abstract: This paper studies the privacy of wireless communications from an eavesdropper that employs a deep learning (DL) classifier to detect transmissions of interest. There exists one transmitter that transmits to its receiver in the presence of an eavesdrop...
Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning
Publication Type: Periodical
Source(s): IEEE Wireless Communications Letters; January 2023, Vol. 12 Issue: 1 p65-69, 5p
Abstract: Deep learning (DL) finds rich applications in the wireless domain to improve spectrum awareness. Typically, DL models are either randomly initialized following a statistical distribution or pretrained on tasks from other domains in the form of transfer...
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas.
Publication Type: Academic Journal
Source(s): Entropy; Aug2022, Vol. 24 Issue 8, p1047-N.PAG, 15p
Abstract: Copyright of Entropy is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for ind...
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers.
Publication Type: Academic Journal
Source(s): IEEE Transactions on Wireless Communications; Jun2022, Vol. 21 Issue 6, p3868-3880, 13p
Abstract: Copyright of IEEE Transactions on Wireless Communications is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print...
Collective allostatic load measures for teams.
Publication Type: Academic Journal
Source(s): Structural Health Monitoring; May2021, Vol. 20 Issue 3, p768-781, 14p
Abstract: Copyright of Structural Health Monitoring is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may pr...
DeepWiFi: Cognitive WiFi with Deep Learning.
Publication Type: Academic Journal
Source(s): IEEE Transactions on Mobile Computing; Feb2021, Vol. 20 Issue 2, p429-444, 16p
Abstract: Copyright of IEEE Transactions on Mobile Computing is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, downl...
Three-Stage Resource Allocation Algorithm for Energy-Efficient Heterogeneous Networks.
Publication Type: Academic Journal
Source(s): IEEE Transactions on Vehicular Technology; Aug2017, Vol. 66 Issue 8, p6942-6957, 16p
Abstract: Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, d...
5G green networking: Enabling technologies, potentials, and challenges.
Publication Type: Conference
Source(s): 2016 IEEE 17th Annual Wireless & Microwave Technology Conference (WAMICON); 2016, p1-6, 6p
An Energy-Efficient Resource Allocation Algorithm with QoS Constraints for Heterogeneous Networks.
Publication Type: Conference
Source(s): 2015 IEEE Global Communications Conference (GLOBECOM); 1/1/2015, p1-7, 7p
Energy-Efficient Resource Allocation for Fractional Frequency Reuse in Heterogeneous Networks.
Publication Type: Academic Journal
Source(s): IEEE Transactions on Wireless Communications; Oct2015, Vol. 14 Issue 10, p5484-5497, 14p
Abstract: Copyright of IEEE Transactions on Wireless Communications is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print...