107 citations · 267 across the 21 of their papers we have counts for
22 papers
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming
Batool Salehi, Utku Demir, Debashri Roy +4
Creating a digital world that closely mimics the real world with its many complex interactions and outcomes is possible today through advanced emulation software and ubiquitous com…
Implementing and Evaluating Security in O-RAN: Interfaces, Intelligence, and Platforms
Joshua Groen, Salvatore DOro, Utku Demir +4
The Open Radio Access Network (RAN) is a networking paradigm that builds on top of cloud-based, multi-vendor, open and intelligent architectures to shape the next generation of cel…
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Nasim Soltani, Hai Cheng, Mauro Belgiovine +10
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…
Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard
Debashri Roy, Batool Salehi, Stella Banou +7
Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and ultra-low-latency reconfiguratio…
AirNN: Neural Networks with Over-the-Air Convolution via Reconfigurable Intelligent Surfaces
Sara Garcia Sanchez, Guillem Reus Muns, Carlos Bocanegra +6
Over-the-air analog computation allows offloading computation to the wireless environment through carefully constructed transmitted signals. In this paper, we design and implement…
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network
Batool Salehi, Guillem Reus-Muns, Debashri Roy +5
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as an exhaustive search among all candidate beam pairs cannot be assuredly completed with…
PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization
Nasim Soltani, Debashri Roy, Kaushik Chowdhury
In IEEE 802.11 WiFi-based waveforms, the receiver performs coarse time and frequency synchronization using the first field of the preamble known as the legacy short training field…
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
Leonardo Bonati, Pedram Johari, Michele Polese +16
Colosseum is an open-access and publicly-available large-scale wireless testbed for experimental research via virtualized and softwarized waveforms and protocol stacks on a fully p…
Machine Learning on Camera Images for Fast mmWave Beamforming
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez +3
Perfect alignment in chosen beam sectors at both transmit- and receive-nodes is required for beamforming in mmWave bands. Current 802.11ad WiFi and emerging 5G cellular standards s…
Open-World Class Discovery with Kernel Networks
Zifeng Wang, Batool Salehi, Andrey Gritsenko +3
We study an Open-World Class Discovery problem in which, given labeled training samples from old classes, we need to discover new classes from unlabeled test samples. There are two…
Learn-Prune-Share for Lifelong Learning
Zifeng Wang, Tong Jian, Kaushik Chowdhury +3
In lifelong learning, we wish to maintain and update a model (e.g., a neural network classifier) in the presence of new classification tasks that arrive sequentially. In this paper…
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +4
This paper advances the state of the art by proposing the first comprehensive analysis and experimental evaluation of adversarial learning attacks to wireless deep learning systems…
Dynamic Channel Selection in UAVs through Constellations in the Sky
Guillem Reus Muns, Mithun Diddi, Hanumant Singh +1
Wireless communication between an unmanned aerial vehicle (UAV) and the ground base station (BS) is susceptible to adversarial jamming. In such situations, it is important for the…
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +5
Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy. By mapping inputs onto a very large feature space, deep learning algorithms can be traine…
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou +3
This paper describes the architecture and performance of ORACLE, an approach for detecting a unique radio from a large pool of bit-similar devices (same hardware, protocol, physica…
Beam Alignment and Tracking for Autonomous Vehicular Communication using IEEE 802.11ad-based Radar
Guillem Reus Muns, Kumar Vijay Mishra, Carlos Bocanegra Guerra +2
Mobility scenarios involving short contact times pose a challenge for high bandwidth data transfer between autonomous vehicles and roadside base stations (BS). Millimeter wave band…
Software-Defined Network Controlled Switching between Millimeter Wave and Terahertz Small Cells
Angela Sara Cacciapuoti, Ramanathan Subramanian, Kaushik Roy Chowdhury +1
Small cells are a cost-effective way to reliably expand network coverage and provide significantly increased capacity for end users. The ultra-high bandwidth available at millimete…
High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR
Ramanathan Subramanian, Benjamin Drozdenko, Eric Doyle +3
Software defined radio (SDR) allows unprecedented levels of flexibility by transitioning the radio communication system from a rigid hardware platform to a more user-controlled sof…
Leveraging Deliberately Generated Interferences for Multi-sensor Wireless RF Power Transmission
Raul G. Cid-Fuentes, M. Yousof Naderi, Rahman Doost-Mohammady +3
Wireless RF power transmission promises battery-less, resilient, and perpetual wireless sensor networks. Through the action of controllable Energy Transmitters (ETs) that operate a…
Multi-path Model and Sensitivity Analysis for Galvanic Coupled Intra-body Communication through Layered Tissue
Meenupriya Swaminathan, Ferran Simon Cabrera, Joan Sebastia Pujol +3
New medical procedures promise continuous patient monitoring and drug delivery through implanted sensors and actuators. When over the air wireless radio frequency (OTA-RF) links ar…
Topology Optimization for Galvanic Coupled Wireless Intra-body Communication
Meenupriya Swaminathan, Ufuk Muncuk, Kaushik R. Chowdhury
Implanted sensors and actuators in the human body promise in-situ health monitoring and rapid advancements in personalized medicine. We propose a new paradigm where such implants m…
Impact of Mobile Transmitter Sources on Radio Frequency Wireless Energy Harvesting
Antonio Hernandez Coarasa, Prusayon Nintanavongsa, Sugata Sanyal +1
Wireless energy harvesting sensor networks constitute a new paradigm, where the motes deployed in the field are no longer constrained by the limited battery resource, but are able…