Search Results - "Salehi, Batool"

RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms by Soltani, Nasim, Reus-Muns, Guillem, Salehi, Batool, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…The universal availability of unmanned aerial vehicles (UAVs) has resulted in many applications where the same make/model can be deployed by multiple parties…”
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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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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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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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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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FLASH: Federated Learning for Automated Selection of High-band mmWave Sectors by Salehi, Batool, Gu, Jerry, Roy, Debashri, Chowdhury, Kaushik

“…Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open challenge. This is because standard-defined exhaustive search over…”
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Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard by Roy, Debashri, Salehi, Batool, Banou, Stella, Mohanti, Subhramoy, Reus-Muns, Guillem, Belgiovine, Mauro, Ganesh, Prashant, Dick, Chris, Chowdhury, Kaushik

“…Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and…”
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COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units by Pradhan, Suyash, Roy, Debashri, Salehi, Batool, Chowdhury, Kaushik

“…This paper presents COPILOT, a ML-based approach that allows vehicles requiring ubiquitous high bandwidth connectivity to identify the most suitable road side…”
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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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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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Open-World Class Discovery with Kernel Networks by Wang, Zifeng, Salehi, Batool, Gritsenko, Andrey, Chowdhury, Kaushik, Ioannidis, Stratis, Dy, Jennifer

“…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…”
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Machine Learning on Camera Images for Fast mmWave Beamforming by Salehi, Batool, Belgiovine, Mauro, Sanchez, Sara Garcia, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…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…”
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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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Deep Learning on Visual and Location Data for V2I mmWave Beamforming by Reus-Muns, Guillem, Salehi, Batool, Roy, Debashri, Jian, Tong, Wang, Zifeng, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…Accurate beam alignment in the millimeter-wave (mmWave) band introduces considerable overheads involving brute-force exploration of multiple beam-pair…”
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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…”
Get full text

Machine Learning on Camera Images for Fast mmWave Beamforming by Salehi, Batool, Belgiovine, Mauro, Sanchez, Sara Garcia, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik

“…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…”
Get full text

Open-World Class Discovery with Kernel Networks by Wang, Zifeng, Salehi, Batool, Gritsenko, Andrey, Chowdhury, Kaushik, Ioannidis, Stratis, Dy, Jennifer

“…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…”
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Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard by Roy, Debashri, Salehi, Batool, Banou, Stella, Mohanti, Subhramoy, Reus-Muns, Guillem, Belgiovine, Mauro, Ganesh, Prashant, Bocanegra, Carlos, Dick, Chris, Chowdhury, Kaushik

“…Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and…”
Get full text