Distributed generative adversarial networks for mmWave channel modeling in wireless UAV networks
In this paper, a novel framework is proposed to enable air-to-ground channel modeling over
millimeter wave (mmWave) frequencies in an unmanned aerial vehicle (UAV) wireless …
millimeter wave (mmWave) frequencies in an unmanned aerial vehicle (UAV) wireless …
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-to-ground channel
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …
LSTM-based distributed conditional generative adversarial network for data-driven 5G-enabled maritime UAV communications
5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …
applications of 5G wireless network which requires minimum latency and higher reliability to …
Generative neural network channel modeling for millimeter-wave UAV communication
The millimeter wave bands are being increasingly considered for wireless communication to
unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models …
unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models …
Generative adversarial estimation of channel covariance in vehicular millimeter wave systems
X Li, A Alkhateeb… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the
huge training overhead associated with acquiring the channel knowledge or designing the …
huge training overhead associated with acquiring the channel knowledge or designing the …
Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities
In modern wireless communication systems, wireless channel modeling has always been a
fundamental task in system design and performance optimization. Traditional channel …
fundamental task in system design and performance optimization. Traditional channel …
A federated channel modeling system using generative neural networks
The paper proposes a data-driven approach to air-to-ground channel estimation in a
millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional …
millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional …
Temporally correlated compressed sensing using generative models for channel estimation in unmanned aerial vehicles
Bayesian modelling of the channel distribution is a crucial step before channel recovery
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …
A communication channel density estimating generative adversarial network
A Smith, J Downey - 2019 IEEE Cognitive Communications for …, 2019 - ieeexplore.ieee.org
Autoencoder-based communication systems use neural network channel models to
backwardly propagate message reconstruction error gradients across an approximation of …
backwardly propagate message reconstruction error gradients across an approximation of …
Distributional reinforcement learning for mmWave communications with intelligent reflectors on a UAV
In this paper, a novel communication framework that uses an unmanned aerial vehicle
(UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink …
(UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink …