Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
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Updated
Nov 22, 2022 - Python
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"
This is the code implementation for the GMML algorithm.
Simulation code for "On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel," by V. Kumar, M. F. Flanagan, D. W. Kwan Ng, and L. -N. Tran, IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685957.
This repository is accompanying the papers "Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications" (SPAWC 2021), "RIS-Assisted Statistical Channel Shaping for Ultra-High Reliability" (WSA 2021), and "Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications" (TWC, DOI:10.1109/TWC.2022.…
Worst-case MSE Minimization for RIS-assisted mmWave MU-MISO Systems with Hardware Impairments and CSI Imperfection
Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
Implementation of the performance evaluation of "On the Impact of Control Signaling in RIS-Empowered Wireless Communications"
Fusion of federated leaerning algorithm and reconfigurable intelligent surface from 6G
Codes for reproducing the numerical results reported in: "An Orchestration Framework for Open System Models of Reconfigurable Intelligent Surfaces" by V. Croisfelt, F. Devoti, F. Saggese, V. Sciancalepore, X. Costa-Pérez, and P. Popovski.
Neural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink
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