YuZhang-GitHub / Codebook_Learning_RL
Deep Reinforcement Learning for mmWave RF Beam Codebook Design
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Codebook_Learning_RL
- yanzhenliu97 / Deep-Unfolding-Beamforming-for-Intelligent-Reflecting-Surface-assisted-Full-Duplex-Systems☆16Updated 2 years ago
- Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays☆40Updated 3 years ago
- This repository contain main codes for the paper "Self-Organizing Cell-Free mmWave Wireless Network: Hybrid Analog-Digital Beamforming an…☆22Updated 2 years ago
- Power Resource Allocation for Integrated Sensing and Communication☆25Updated last year
- Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment☆16Updated 3 years ago
- Simulation code for “Team MMSE Precoding with Applications to Cell-free Massive MIMO” by Lorenzo Miretti, Emil Björnson, David Gesbert, I…☆29Updated 9 months ago
- This repository contains the source code for the "Optimal power allocation for multi-cell downlink NOMA system" research.☆24Updated 2 years ago
- Code of the paper: Antenna Clustering for Simultaneous Wireless Information and Power Transfer in a MIMO Full-Duplex System: A Deep Reinf…☆26Updated 3 years ago
- Cell-Free MIMO 学习交流资料☆25Updated 2 years ago
- Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Je…☆20Updated 2 years ago
- A python package for simulation of integrated sensing and communications☆10Updated last year
- BrokenBunny / Energy-Efficient-Wireless-Communications-with-Distributed-Reconfigurable-Intelligent-Surfaces☆27Updated 3 years ago
- Simulation Codes for Figure 3 in Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities☆27Updated 4 years ago
- ☆19Updated last year
- Used convex optimization to tune millimetre wave based wireless communication parameters. Replicated the IEEE paper "Multi-Beam Power All…☆22Updated 2 years ago
- Simulation code for "Channel Estimation for Semi-Passive Reconfigurable Intelligent Surfaces With Enhanced Deep Residual Networks" by Y. …☆23Updated 2 years ago
- An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator☆23Updated 8 months ago
- TianLin0509 / Channe-Estimation-for-IRS-Assisted-Millimeter-Wave-MIMO-Systems-Sparsity-Inspired-ApproachesSimulation codes for Channe-Estimation-for-IRS-Assisted Millimeter-Wave-MIMO-Systems-Sparsity-Inspired-Approaches☆26Updated 2 years ago
- Simulation code for "Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces" by N. S. Perović, L.-N. Tran…☆24Updated 2 years ago
- The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"☆23Updated 4 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…☆18Updated last year
- The code for the paper "STARS Enabled Integrated Sensing and Communications" in IEEE Transactions on Wireless Communications☆51Updated last year
- Codes for IEEE TCOM paper "Partially-Connected Hybrid Beamforming Design for Integrated Sensing and Communication Systems"☆18Updated 4 months ago
- A repository for the DeepIRS project codes☆29Updated 4 years ago
- RIS optimization☆29Updated 3 weeks ago
- Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, L…☆36Updated 4 years ago
- anzhonghu / Grouping-optimization-based-hybrid-beamforming-for-multiuser-MmWave-massive-MIMO-systemsThis one is about the paper and the code of "Grouping optimization based hybrid beamforming for multiuser MmWave massive MIMO systems".☆24Updated 3 years ago
- The code for the paper "NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems" in IEEE Journal on Selected Areas in C…☆31Updated 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☆28Updated 3 years ago