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Found 5 papers, 0 papers with code
Meta Reinforcement Learning for Resource Allocation in Multi-Antenna UAV Network with Rate Splitting Multiple Access
In this paper, we propose a LAS-aided multi-antenna UAV to serve ground users in the downlink transmission of the terahertz (THz) band, utilizing rate splitting multiple access (RSMA) for effective beam division multiplexing.
Meta Reinforcement Learning for Resource Allocation in Unmanned Aerial Vehicles with MIMO Visible Light Communication
This paper centers around a multiple-input-multiple-output (MIMO) visible light communication (VLC) system, where an unmanned aerial vehicle (UAV) benefits from a light emitting diode (LED) array to serve photo-diode (PD)-equipped users for illumination and communication simultaneously.
Xavier-Enabled Extreme Reservoir Machine for Millimeter-Wave Beamspace Channel Tracking
In this paper, we propose an accurate two-phase millimeter-Wave (mmWave) beamspace channel tracking mechanism.
Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks
UAVs can move in 3-dimensional (3D) at a constant acceleration, where a central server is responsible for synchronization and cooperation among UAVs.
Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO
First inspired by transfer learning, we fine-tune the pre-trained off-the-shelf GoogleNet classifier, to learn analog beam selection as a multi-class mapping problem.
