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Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang, Mingzhe Chen, Zhaohui Yang +2
In this paper, the problem of dynamical deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities for optimizing the energy efficie…
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Soheil Rostami, Walid Saad, Choong Seon Hong
Orbital angular momentum (OAM)-encoding has recently emerged as an effective approach for increasing the channel capacity of free-space optical communications. In this paper, OAM-b…
Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs
Yining Wang, Mingzhe Chen, Zhaohui Yang +3
In this paper, the problem of optimizing the deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities is studied. In the studied m…
Towards a Connected Sky: Performance of Beamforming with Down-tilted Antennas for Ground and UAV User Co-existence
Ramy Amer, Walid Saad, Nicola Marchetti
Providing connectivity to aerial users such as cellular connected unmanned aerial vehicles is a key challenge for future cellular systems. In this paper, the use of conjugate beamf…
Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)
Yang Yang, Mingzhe Chen, Caili Guo +2
A novel approach that combines visible light communication (VLC) with unmanned aerial vehicles (UAVs) to simultaneously provide flexible communication and illumination is proposed.…
Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations
Mohammad Taghi Dabiri, Hossein Safi, Saeedeh Parsaeefard +1
The integration of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave) wireless systems has been recently proposed to provide high data rate aerial links for next generati…