YuZhang-GitHub / Codebook_Learning_RLLinks
Deep Reinforcement Learning for mmWave RF Beam Codebook Design
☆19Updated 3 years ago
Alternatives and similar repositories for Codebook_Learning_RL
Users that are interested in Codebook_Learning_RL are comparing it to the libraries listed below
Sorting:
- This repository contain main codes for the paper "Self-Organizing Cell-Free mmWave Wireless Network: Hybrid Analog-Digital Beamforming an…☆28Updated 3 years ago
- Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays☆50Updated 4 years ago
- Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment☆22Updated 4 years ago
- Cell-Free MIMO 学习交流资料☆28Updated 3 years ago
- Code of the paper: Antenna Clustering for Simultaneous Wireless Information and Power Transfer in a MIMO Full-Duplex System: A Deep Reinf…☆27Updated 4 years ago
- Multibeam optimization for Joint Communication and Sensing (JCAS)☆25Updated 3 years ago
- yanzhenliu97 / Deep-Unfolding-Beamforming-for-Intelligent-Reflecting-Surface-assisted-Full-Duplex-Systems☆16Updated 3 years ago
- The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"☆31Updated 5 years ago
- Semi-Supervised End-to-End Learning for Integrated Sensing and Communications☆20Updated last year
- PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems with Deep Reinforcement Learning☆21Updated 2 years ago
- Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Je…☆27Updated 3 years ago
- Beam prediction based on large language models, IEEE Wireless Communications Letters☆34Updated 3 months ago
- Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems☆83Updated 4 years ago
- Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.☆47Updated 4 years ago
- ☆72Updated 4 years ago
- snowztail / irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-modelReconfigurable intelligence surfaces can improve the spectral and energy efficiencies for wireless information and power transfer.☆40Updated 3 years ago
- ☆39Updated last year
- Zzhaoxingyu / Partially-Connected-HBF-for-Spectral-Efficiency-Maximization-via-a-Weighted-MMSE-EquivalencePartially-Connected Hybrid Beamforming for Spectral Efficiency Maximization via a Weighted MMSE Equivalence☆36Updated 4 years ago
- A repository for the DeepIRS project codes☆30Updated 5 years ago
- Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigo…☆79Updated 2 years ago
- Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications…☆61Updated 4 years ago
- Simulation code for “Team MMSE Precoding with Applications to Cell-free Massive MIMO” by Lorenzo Miretti, Emil Björnson, David Gesbert, I…☆33Updated last year
- Simulation code for "Channel Estimation for Semi-Passive Reconfigurable Intelligent Surfaces With Enhanced Deep Residual Networks" by Y. …☆31Updated 3 years ago
- ☆18Updated last year
- Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, L…☆43Updated 5 years ago
- Hi all, some readers ask me the code for channel modeling and Algorithms in the paper "Hybrid Relay-Reflecting Intelligent Surface-Assist…☆28Updated 4 years ago
- ☆17Updated last year
- Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," IEEE Trans. Veh.…☆28Updated 2 years ago
- ☆48Updated last year
- Implementation of the paper "Enabling cell-free massive MIMO systems with wireless millimeter wave fronthaul"☆14Updated 2 years ago