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☆47Updated 3 years ago
- yanzhenliu97 / Deep-Unfolding-Beamforming-for-Intelligent-Reflecting-Surface-assisted-Full-Duplex-Systems☆16Updated 3 years ago
- Cell-Free MIMO 学习交流资料☆27Updated 2 years ago
- The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"☆30Updated 5 years ago
- Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Je…☆25Updated 3 years ago
- PolyuWirelessCommunicationLab / Channel-Estimation-for-Intelligent-Reflecting-Surface-Assisted-Multiuser-CommunicationsThis code is for the paper Z. Wang, L. Liu, and S. Cui, "Channel estimation for intelligent reflecting surface assisted multiuser communi…☆57Updated 3 years ago
- PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems with Deep Reinforcement Learning☆21Updated 2 years ago
- Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment☆22Updated 4 years ago
- ☆43Updated last year
- Simulation code for “Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO,” by U. K. Gan…☆19Updated 3 years ago
- Multibeam optimization for Joint Communication and Sensing (JCAS)☆25Updated 2 years ago
- Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, L…☆40Updated 4 years ago
- Tensorflow implementation of Unfolding WMMSE using Graph Neural Networks for Efficient Power Allocation☆20Updated 4 years ago
- Simulation code for "Channel Estimation for Semi-Passive Reconfigurable Intelligent Surfaces With Enhanced Deep Residual Networks" by Y. …☆29Updated 3 years ago
- Simulation code for “Team MMSE Precoding with Applications to Cell-free Massive MIMO” by Lorenzo Miretti, Emil Björnson, David Gesbert, I…☆34Updated 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 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…☆25Updated 4 years ago
- Simulation code for “Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications” by Emil Björnson, H…☆56Updated 3 years ago
- hybrid precoding in mmWave MIMO with finite-resolution phase shifters☆15Updated 4 years ago
- An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator☆25Updated last year
- ☆71Updated 3 years ago
- Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications…☆60Updated 4 years ago
- Semi-Supervised End-to-End Learning for Integrated Sensing and Communications☆21Updated last year
- ☆38Updated last year
- The code for the paper "STARS Enabled Integrated Sensing and Communications" in IEEE Transactions on Wireless Communications☆67Updated 2 weeks ago
- Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," IEEE Trans. Veh.…☆26Updated last year
- Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.☆50Updated 3 years ago
- Codes for IEEE TCOM paper "Partially-Connected Hybrid Beamforming Design for Integrated Sensing and Communication Systems"☆40Updated last year
- Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigo…☆80Updated 2 years ago