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:
- Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays☆47Updated 3 years ago
- Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment☆22Updated 4 years ago
- This repository contain main codes for the paper "Self-Organizing Cell-Free mmWave Wireless Network: Hybrid Analog-Digital Beamforming an…☆28Updated 3 years ago
- yanzhenliu97 / Deep-Unfolding-Beamforming-for-Intelligent-Reflecting-Surface-assisted-Full-Duplex-Systems☆16Updated 3 years ago
- ☆41Updated last year
- Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Je…☆25Updated 3 years ago
- Cell-Free MIMO 学习交流资料☆27Updated 2 years ago
- Simulation code for “Scalable Cell-Free Massive MIMO Systems,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Communications…☆63Updated 4 years ago
- Tensorflow implementation of Unfolding WMMSE using Graph Neural Networks for Efficient Power Allocation☆20Updated 4 years ago
- ☆81Updated 3 years ago
- Active Sensing for Communications by Learning☆18Updated 3 years ago
- Codes for IEEE TCOM paper "Partially-Connected Hybrid Beamforming Design for Integrated Sensing and Communication Systems"☆38Updated 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
- The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"☆30Updated 4 years ago
- The code for the paper "Near-Field Integrated Sensing and Communications" in IEEE Communications Letters☆75Updated last month
- Semi-Supervised End-to-End Learning for Integrated Sensing and Communications☆21Updated last year
- Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, L…☆39Updated 4 years ago
- 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
- Simulation code for “Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO,” by Özlem Tuğfe Demir and Emil Björnson, I…☆37Updated last year
- Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitte…☆48Updated 4 years ago
- An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator☆25Updated last year
- Simulation code for “Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts,” by Özgecan Özdogan, Emil Björnson, Jiayi…☆33Updated 4 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
- Tensorflow implementation of Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks☆19Updated 2 years ago
- This is a collection of MATLAB scripts to generate numerical results for the paper "Multi-Static ISAC in Cell-Free Massive MIMO: Precoder…☆29Updated last year
- Towards environment-aware 6G communications via channel knowledge map☆34Updated 4 years ago
- A repository for the DeepIRS project codes☆30Updated 4 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
- ☆13Updated 10 months ago
- Beam prediction based on large language models, IEEE Wireless Communications Letters☆20Updated 3 months ago