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Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
In this paper, a novel framework is proposed to perform data-driven air-...
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SAR Image Despeckling Based on Convolutional Denoising Autoencoder
In Synthetic Aperture Radar (SAR) imaging, despeckling is very important...
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Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
In this paper, a novel communication framework that uses an unmanned aer...
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Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning
In this paper, a novel framework is proposed to optimize the downlink mu...
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Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors
In this paper, a novel approach that uses an unmanned aerial vehicle (UA...
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Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Large intelligent surface/antennas (LISA), a two-dimensional artificial ...
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Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning
In this paper, we are interested in symbiotic radio networks, in which a...
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An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities
Infrastructure in future smart and connected communities is envisioned a...
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Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory
In this paper, a novel framework that enables a predictive deployment of...
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Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications
In this paper, a novel machine learning (ML) framework is proposed for e...
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Cooperative Ambient Backscatter Communications for Green Internet-of-Things
Ambient backscatter communication (AmBC) enables a passive backscatter d...
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