mmwave
There are 78 repositories under mmwave topic.
nyuwireless-unipd/ns3-mmwave
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
m6c7l/pymmw
Pythonic mmWave Toolbox for TI's IWR Radar Sensors
radar-lab/ti_mmwave_rospkg
TI mmWave radar ROS driver (with sensor fusion and hybrid)
ibaiGorordo/AWR1642-Read-Data-Python-MMWAVE-SDK-2
Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).
ibaiGorordo/AWR1843-Read-Data-Python-MMWAVE-SDK-3-
Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)
gante/mmWave-localization-learning
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
0xastro/fmcw-RADAR
[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.
Research-and-Project/mmWave_radar_tracking
object tracking based on millimeter wave radar
wigig-tools/wigig-module
High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3
vilari-mickopf/mmwave-gesture-recognition
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
samuelterra22/Massive-MIMO-Hybrid-Beamforming-Matlab-Example
A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.
hiroyuki-kasai/HybridPrecodingOpt
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
akarsh-prabhakara/RadarHD
High resolution point clouds from mmWave radar
ibaiGorordo/IWR1443-Read-Data-Python-MMWAVE-SDK-1
Python program to read and plot the position of the reflected points from the IWR1443 and the AWR1443. It works both with Windows and Raspberry Pi.
wigig-tools/isac-plm
Integrated Sensing and Communication Physical layer (PHY) model of IEEE 802.11ay/bf.
uncle-yura/esphome-ld2450
ESPHome LD2450 mmWave custom external component
MathworksProjects/mmWave-MU-MIMO
The project represents the main code for the proposed cross-layer Dynamic sub-array scheduling for 5G applications, in collaboration with Mathworks inc.
Asixa/RF-Genesis
RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)
kien-vu/Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
kien-vu/Path-Selection-and-Rate-allocation-in-Self-backhauled-mmWave-Networks
This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks
itskalvik/mmWave-user-recognition
Gait Based User Recognition from mmWave Radar Data
ApocalyVec/mGesf
A sensor fusion approach to the recognition of microgestures.
thefipster/esphome-mmwave-sensors
ESPHome integration for mmWave Sensors from Seeed Studio
malrabeiah/Sub6-Preds-mmWave
Using sub-6 GHz channels to predict mmWave beams and link blockage.
vankxr/icyradio
Over-engineered SDR development board
wineslab/deepbeam
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.
azinke/mmwave
Linux tool for controlling the MMWCAS-DSP-EVM and MMWAVECAS-RF-EVM boards
lynnlilu/mmWave_reading
A Matlab reading program for TI AWR1642
signetlabdei/ns3-mmwave-iab
IAB feature for the ns-3 mmWave module
ucsdwcsng/mmreliable
Artifacts for Sigcomm'21 paper "Two beams are better than one: Enabling reliable and high throughput mmWave links."
SalahAssana/5G-SCG
Cardiovascular Activity Monitoring Using mmWaves
mychele/toward-e2e-6g-terahertz-networks
Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.
azinke/coloradar
API for loading the Coloradar dataset.
malrabeiah/CameraPredictsBeams
Camera based beam prediction
rzy0901/testSpectrogram
testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.