86 citations · 99 across the 12 of their papers we have counts for
16 papers
Hierarchical Federated Learning for Unsupervised Waveform Classification over Tactical MANETs
Charles E. Thornton, Daniel J. Jakubisin
Distributed radio frequency sensing in contested tactical environments demands collaborative learning across mobile nodes. In ad-hoc networks, learning must occur without persisten…
Hybrid SMI Realization via Matrix Completion and Riemannian Manifold Optimization on Narrowband Sub-Array Based Architectures
Tarun Suman Cousik, Rohit Rangaraj, Nishith Tripathi +3
Hybrid beamforming architectures reduce hardware complexity but restrict access to full array observations, rendering direct implementation of classical covariance based methods su…
Federated Parameter-Efficient Adaptation for Interference Mitigation at the Wireless Edge
Evar Jones, Daniel J. Jakubisin, Sanmay Das
Dense wireless deployments face co-channel interference from heterogeneous sources that vary across base stations (gNBs in 5G). While centralized DNN-based approaches to interferen…
Multistatic Radar Performance in the Presence of Distributed Wireless Synchronization
Kumar Sai Bondada, Daniel J. Jakubisin, R. Michael Buehrer
This paper proposes a multistatic radar (MSR) system utilizing a distributed wireless synchronization protocol. The wireless synchronization protocol uses a two-tone waveform excha…
Experimental Demonstration of Robust Distributed Wireless Clock Synchronization
Kumar Sai Bondada, Hiten Kothari, Yibin Liang +2
Distributed wireless clock synchronization is essential for aligning the clocks of distributed transceivers in support of joint transmission and reception techniques. One recently…
Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays
Karim A. Said, Yibin Liang, Usama Saeed +13
Distributed multiple-input multiple-output (D\mbox{-}MIMO) is a promising technology to realize the promise of massive MIMO gains by fiber-connecting the distributed antenna arrays…
Distributed Uplink Joint Transmission for 6G Communication
Kumar Sai Bondada, Usama Saeed, Yibin Liang +3
This paper investigates the spectral efficiency achieved through uplink joint transmission, where a serving user and the network users (UEs) collaborate by jointly transmitting to…
Impact of Synchronization Offsets and CSI Feedback Delay in Distributed MIMO Systems
Kumar Sai Bondada, Daniel Jakubisin, R. Michael Buehrer
The main challenges of distributed MIMO systems lie in achieving highly accurate synchronization and ensuring the availability of accurate channel state information (CSI) at distri…
Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
Samuel B. Brown, Stephen Young, Adam Wagenknecht +4
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, par…
Linear Jamming Bandits: Learning to Jam 5G-based Coded Communications Systems
Zachary Schutz, Daniel J. Jakubisin, Charles E. Thornton +1
We study jamming of an OFDM-modulated signal which employs forward error correction coding. We extend this to leverage reinforcement learning with a contextual bandit to jam a 5G-b…
Wireless Mobile Distributed-MIMO for 6G
Kumar Sai Bondada, Daniel J. Jakubisin, Karim Said +2
The paper proposes a new architecture for Distributed MIMO (D-MIMO) in which the base station (BS) jointly transmits with wireless mobile nodes to serve users (UEs) within a cell f…
On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks
Charles E. Thornton, Evan Allen, Evar Jones +3
This work investigates the potential of 5G and beyond sidelink (SL) communication to support multi-hop tactical networks. We first provide a technical and historical overview of 3G…
Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks
Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin +1
The growing number of devices using the wireless spectrum makes it important to find ways to minimize interference and optimize the use of the spectrum. Deep learning models, such…
Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections
Anders M. Buvarp, Daniel J. Jakubisin, William C. Headley +1
With the recent introduction of electromagnetic meta-surfaces and reconfigurable intelligent surfaces, a paradigm shift is currently taking place in the world of wireless communica…
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
Taiwo Oyedare, Vijay K Shah, Daniel J Jakubisin +1
In light of the finite nature of the wireless spectrum and the increasing demand for spectrum use arising from recent technological breakthroughs in wireless communication, the pro…
Approximate Joint MAP Detection of Co-Channel Signals
Daniel J. Jakubisin, R. Michael Buehrer
We consider joint detection of co-channel signals---specifically, signals which do not possess a natural separability due to, for example, the multiple access technique or the use…