301 citations · 351 across the 21 of their papers we have counts for
12 papers · 1 filter
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices
Anu Jagannath, Zackary Kane, Jithin Jagannath
RF fingerprinting is emerging as a physical layer security scheme to identify illegitimate and/or unauthorized emitters sharing the RF spectrum. However, due to the lack of publicl…
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
Swatantra Kafle, Jithin Jagannath, Zackary Kane +3
We tackle the problem of joint frequency and power allocation while emphasizing the generalization capability of a deep reinforcement learning model. Most of the existing methods s…
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth
Anu Jagannath, Jithin Jagannath
A scalable and computationally efficient framework is designed to fingerprint real-world Bluetooth devices. We propose an embedding-assisted attentional framework (Mbed-ATN) suitab…
Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective
Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
Spectrum scarcity has been a major concern for achieving the desired quality of experience (QoE) in next-generation (5G/6G and beyond) networks supporting a massive volume of mobil…
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control
Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of…
Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials
Jithin Jagannath, Anu Jagannath, Justin Henney +4
The proliferation of wireless devices and their ever increasing influence on our day-to-day life is very evident and seems irreplaceable. This exponential growth in demand, both in…
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here!
Jithin Jagannath, Anu Jagannath, Justin Henney +4
The concept of cross-layer optimization has been around for several years now. The primary goal of the cross-layer approach was to liberate the strict boundary between the layers o…
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…
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…