activity
20212023
most citedGeneralization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2023★ 1 cited

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…

cs.NI2023★ 1 cited

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…

cs.LG2022

RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth

Anu Jagannath, Zackary Kane, Jithin Jagannath

A novel cross-domain attentional multi-task architecture - xDom - for robust real-world wireless radio frequency (RF) fingerprinting is presented in this work. To the best of our k…

cs.NI2022

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…

cs.NI2021

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…