no code implementations • 15 Mar 2023 • Anu Jagannath, Zackary Kane, Jithin Jagannath
To this end, we capture the first known emissions from the COTS IoT chipsets transmitting WiFi and Bluetooth under two different time frames.
no code implementations • 4 Feb 2023 • Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Vasanth Kumar, Anu Jagannath
Most of the existing methods solve reinforcement learning-based wireless problems for a specific pre-determined wireless network scenario.
no code implementations • 22 Sep 2022 • Anu Jagannath, Jithin Jagannath
Further, the proposed Mbed-ATN showcases 16. 9x fewer FLOPs and 7. 5x lesser trainable parameters when compared to Oracle.
no code implementations • 7 Sep 2022 • 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.
1 code implementation • 13 May 2022 • Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath
An agent may decide to transmit a certain number of steps into the future, but this decision is not communicated to the other agents, so it the task of the individual agents to attempt to transmit at appropriate times.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 9 Apr 2022 • Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
More significantly, as the primary goal, this is the first work that has established the feasibility of deploying DRL to provide optimized distributed resource allocation for next-generation of GPU-embedded radios.
no code implementations • 9 Apr 2022 • Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia
Automatic RF modulation recognition is a primary signal intelligence (SIGINT) technique that serves as a physical layer authentication enabler and automated signal processing scheme for the beyond 5G and military networks.
no code implementations • 5 Apr 2022 • 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 Things (IoT) networks.
no code implementations • 26 Feb 2022 • Anu Jagannath, Jithin Jagannath
In this work, for the first time in the wireless communication domain, we exploit the potential of deep neural networks based multi-task learning (MTL) framework to simultaneously learn modulation and signal classification tasks while considering heterogeneous wireless signals such as radar and communication waveforms in the electromagnetic spectrum.
no code implementations • 3 Jan 2022 • Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to support disruptive applications such as extended reality (XR), augmented/virtual reality (AR/VR), industrial automation, autonomous driving, and smart everything which brings together massive and diverse IoT devices occupying the radio frequency (RF) spectrum.
no code implementations • 3 Dec 2021 • Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
Interest in unmanned aerial system (UAS) powered solutions for 6G communication networks has grown immensely with the widespread availability of machine learning based autonomy modules and embedded graphical processing units (GPUs).
no code implementations • 6 Jun 2021 • Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang, Yi
It will be shown that the utility of the defender is variant in different scenarios, based on the defender that is being used.
no code implementations • 4 May 2021 • Keyvan Ramezanpour, Jithin Jagannath
We highlight the challenges and introduce the concept of an intelligent zero trust architecture (i-ZTA) as a security framework in 5G/6G networks with untrusted components.
1 code implementation • 25 Jan 2021 • Anu Jagannath, Jithin Jagannath
The proposed MTL architecture benefits from the mutual relation between the two tasks in improving the classification accuracy as well as the learning efficiency with a lightweight neural network model.
no code implementations • 1 Oct 2020 • 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 emergency rescue and military missions.
no code implementations • 7 Sep 2020 • Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
Therefore, in this chapter, we discuss how some of the advances in machine learning, specifically deep learning and reinforcement learning can be leveraged to develop next-generation autonomous UAS.
no code implementations • 22 Apr 2020 • Anu Jagannath, Jithin Jagannath, Tommaso Melodia
In this position paper, we motivate the need to redesign iterative signal processing algorithms by leveraging deep unfolding techniques to fulfill the physical layer requirements for 6G networks.
no code implementations • 23 Jan 2019 • Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before.
Networking and Internet Architecture