wineslab / deepbeamLinks
M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.
☆33Updated 2 years ago
Alternatives and similar repositories for deepbeam
Users that are interested in deepbeam are comparing it to the libraries listed below
Sorting:
- Simulation code for “A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces,” by Emil Björnson, Özlem Tuğf…☆48Updated last year
- Master thesis about using reinforcement learning for adaptive beamforming☆28Updated 3 years ago
- Simulation routines for "URLLC with Massive MIMO: Analysis and Design at Finite Blocklength", Johan Östman, Alejandro Lancho, Giuseppe Du…☆23Updated 4 months ago
- Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment☆23Updated 4 years ago
- Using sub-6 GHz channels to predict mmWave beams and link blockage.☆41Updated 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 4 years ago
- % These MATLAB scripts are prepared by A.M.E for the following paper, % A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave M…☆27Updated 6 years ago
- Matlab Simulation Code for “Optimal stochastic coordinated beamforming for wireless cooperative networks with CSI uncertainty,” by Y. Shi…☆27Updated 8 years ago
- The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"☆31Updated 5 years ago
- These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO S…☆13Updated 5 years ago
- ☆66Updated 5 years ago
- abdulkarimgizzini / CNN-Aided-Weighted-Interpolation-for-Channel-Estimation-in-Vehicular-CommunicationsThis repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Es…☆32Updated last year
- 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".☆32Updated 4 years ago
- Multibeam optimization for Joint Communication and Sensing (JCAS)☆25Updated 3 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
- MIMO OFDM Joint Radar-Communication (JRC) Transceiver☆38Updated last year
- Submitted paperwork☆22Updated 4 years ago
- Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul …☆65Updated 3 years ago
- This repository contain main codes for the paper "Self-Organizing Cell-Free mmWave Wireless Network: Hybrid Analog-Digital Beamforming an…☆30Updated 4 years ago
- Simulation code for “Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO,” by U. K. Gan…☆19Updated 4 years ago
- Allows to reproduce the figures and the appendix of the paper "Correctly Modeling TX and RX Chain in (Distributed) Massive MIMO - New Fun…☆11Updated 3 years ago
- DL tackling Massive-MIMO problems☆48Updated 5 years ago
- MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication …☆29Updated 3 years ago
- new simulation codes☆19Updated 5 years ago
- Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays☆53Updated 4 years ago
- Source code for "Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications"☆20Updated 5 years ago
- Simple massive MIMO simulator that includes several data-detectors☆39Updated 4 years ago
- Deep learning to predict and improve satellite channel characteristics☆38Updated 6 years ago
- Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.☆49Updated 4 years ago
- This code computes the spectral efficiency in the downlink of a Massive MIMO systems over Uncorrelated Rician Fading Channels. In particu…☆39Updated 7 years ago