Search Results - "Debashri Roy"

PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization by Soltani, Nasim, Roy, Debashri, Chowdhury, Kaushik

“…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…”
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Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection by Roy, Debashri, Li, Yuanyuan, Jian, Tong, Tian, Peng, Chowdhury, Kaushik, Ioannidis, Stratis

“…With the recent surge in autonomous driving vehicles, the need for accurate vehicle detection and tracking is critical now more than ever. Detecting vehicles…”
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Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO by Belgiovine, Mauro, Sankhe, Kunal, Bocanegra, Carlos, Roy, Debashri, Chowdhury, Kaushik R.

“…Massive multiple-input multiple-output (mMIMO) is a critical component in upcoming 5G wireless deployment as an enabler for high data rate communications…”
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Learning from the Best: Active Learning for Wireless Communications by Soltani, Nasim, Zhang, Jifan, Salehi, Batool, Roy, Debashri, Nowak, Robert, Chowdhury, Kaushik

“…Collecting an over-the-air wireless communications training dataset for deep learning-based communication tasks is relatively simple. However, labeling the…”
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RFAL: Adversarial Learning for RF Transmitter Identification and Classification by Roy, Debashri, Mukherjee, Tathagata, Chatterjee, Mainak, Blasch, Erik, Pasiliao, Eduardo

“…Recent advances in wireless technologies have led to several autonomous deployments of such networks. As nodes across distributed networks must co-exist, it is…”
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Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network by Salehi, Batool, Reus-Muns, Guillem, Roy, Debashri, Wang, Zifeng, Jian, Tong, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…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…”
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Digital Twins for Maintaining QoS in Programmable Vehicular Networks by Demir, Utku, Pradhan, Suyash, Kumahia, Richard, Roy, Debashri, loannidis, Stratis, Chowdhury, Kaushik

“…Digital twins are virtual replicas of the real world that capture precise interactions between actual devices and the environment in which they operate…”
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TUNE: Transfer Learning in Unseen Environments for V2X mmWave Beam Selection by Gu, Jerry, Salehi, Batool, Pimple, Snehal, Roy, Debashri, Chowdhury, Kaushik R.

“…The use of non-RF data can potentially speed up millimeter wave-band sector-steering in vehicular mobility scenarios by gaining contextual knowledge of the…”
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Communication-Aware DNN Pruning by Jian, Tong, Roy, Debashri, Salehi, Batool, Soltani, Nasim, Chowdhury, Kaushik, Ioannidis, Stratis

“…We propose a Communication-aware Pruning (CaP) algorithm, a novel distributed inference framework for distributing DNN computations across a physical network…”
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ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals by Roy, Debashri, Chaudhury, Vini, Tassie, Chinenye, Spooner, Chad, Chowdhury, Kaushik

“…The RF environment in a secure space can be compromised by intentional transmissions of hard-to-detect underlay signals that overlap with a high-power baseline…”
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Exploiting Spatio-Temporal Properties of I/Q Signal Data Using 3D Convolution for RF Transmitter Identification by Ramasubramanian, Muthukumaran, Banerjee, Chaity, Roy, Debashri, Pasiliao, Eduardo, Mukherjee, Tathagata

“…In this work we implement an automatic emitter identification system using three dimensional convolutional neural networks (3D-CNN). We show that it is…”
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Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments by Gu, Jerry, Collins, Liam, Roy, Debashri, Mokhtari, Aryan, Shakkottai, Sanjay, Chowdhury, Kaushik R.

“…The use of alternate modalities, like images, for fast beamforming in the millimeter wave (mmWave)-band is being proposed to ensure high bandwidth connectivity…”
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GANSAT: A GAN and SATellite Constellation Fingerprint-Based Framework for GPS Spoof-Detection and Location Estimation in GPS Deprived Environment by Roy, Debashri, Mukherjee, Tathagata, Riden, Alec, Paquet, Jared, Pasiliao, Eduardo, Blasch, Erik

“…This paper presents a robust system for mitigating adversarial and natural GPS disruptions by presenting: (1) a software-based defense mechanism against…”
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PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization by Soltani, Nasim, Roy, Debashri, Chowdhury, Kaushik

“…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…”
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Primary User Activity Prediction in DSA Networks using Recurrent Structures by Roy, Debashri, Mukherjee, Tathagata, Chatterjee, Mainak, Pasiliao, Eduardo

“…For unlicensed (secondary) users to opportunistically access the shared radio spectrum on a non-interfering basis, it is important that they are able to sense…”
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Cognisseum: Cognitive radios on Colosseum facing adversaries by Seth, Sayanta, Roy, Debashri, Yuksel, Murat

“…Cognitive radio technology brings a lot of interesting features which affect the transmission and reception properties of modern communication devices. Dynamic…”
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Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming by Salehi, Batool, Demir, Utku, Roy, Debashri, Pradhan, Suyash, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…Creating a digital world that closely mimics the real world with its many complex interactions and outcomes is possible today through advanced emulation…”
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Video quality assessment for inter-vehicular streaming with IEEE 802.11p, LTE, and LTE Direct networks over fading channels by Roy, Debashri, Chatterjee, Mainak, Pasiliao, Eduardo

“…Availability of real time video streams capturing surrounding road conditions can not only aid automobile drivers and autonomous vehicles, they can also…”
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text: A Modality-Agnostic Neural Network for mmWave Beam Selection by Salehi, Batool, Roy, Debashri, Jian, Tong, Dick, Chris, Ioannidis, Stratis, Chowdhury, Kaushik

“…Vehicles today are equipped with different sensors, such as GPS, camera, and LiDAR. We propose Omni-CNN, a machine-learning (ML) based framework that accepts…”
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[Formula Omitted]: A Modality-Agnostic Neural Network for mmWave Beam Selection by Salehi, Batool, Debashri Roy, Tong, Jian, Dick, Chris, Ioannidis, Stratis, Chowdhury, Kaushik

“…Vehicles today are equipped with different sensors, such as GPS, camera, and LiDAR. We propose Omni-CNN, a machine-learning (ML) based framework that accepts…”
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