301 citations · 334 across the 10 of their papers we have counts for
11 papers
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning
Kian Hamedani, Lingjia Liu, Jithin Jagannath +2
Smart grids are vulnerable to cyber-attacks. This paper proposes a game-theoretic approach to evaluate the variations caused by an attacker on the power measurements. Adversaries c…
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification
Anu Jagannath, Jithin Jagannath
Wireless signal recognition is becoming increasingly more significant for spectrum monitoring, spectrum management, and secure communications. Consequently, it will become a key en…
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers
Anu Jagannath, Jithin Jagannath
Intentional and unintentional interferences collectively referred to as Radio Frequency Interference (RFI) result in severe security threat to the public safety, first responder em…
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
Jithin Jagannath, Anu Jagannath, Sean Furman +1
Unmanned Aerial Systems (UAS) are being increasingly deployed for commercial, civilian, and military applications. The current UAS state-of-the-art still depends on a remote human…
High Rate-Reliability Beamformer Design for 2x2 MIMO-OFDM System Under Hostile Jamming
Anu Jagannath, Jithin Jagannath, Andrew Drozd
Multiple-input multiple-output (MIMO) systems find immense potential and applicability in the long term evolution (LTE), 5G, Internet of Things (IoT), vehicular ad hoc networks (VA…
Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design
Anu Jagannath, Jithin Jagannath, Andrew Drozd
Space Time Block Codes (STBCs) from orthogonal designs have attracted significant interest in recent years. However, with the growing demand for higher capacity schemes, the multia…
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
The year 2019 witnessed the rollout of the 5G standard, which promises to offer significant data rate improvement over 4G. While 5G is still in its infancy, there has been an incre…
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes
Anu Jagannath, Jithin Jagannath, Andrew Drozd
The upcoming 5G networks demand high-speed and high spectral-efficiency communications to keep up with the proliferating traffic demands. To this end, Massive multiple-input multip…
VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network
Jithin Jagannath, Tommaso Melodia
Visible Light Ad Hoc Networks (LANETs) is being perceived as an emerging technology to complement Radio Frequency (RF) based ad hoc networks to reduce congestion in the overloaded…
HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks
Jithin Jagannath, Sean Furman, Anu Jagannath +3
Natural and man-made disasters have been causing destruction and distress to humanity all over the world. In these scenarios, communication infrastructures are the most affected en…
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey
Jithin Jagannath, Nicholas Polosky, Anu Jagannath +2
The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before. For this reason, techniques such as spectrum sharing, dyn…