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

Kaggle Passenger Screening Algorithm Challenge

A repo containing the mmWave SDK for TI's IWR16x (IWR1642) radar offerings

mmWave based action recognition using ROS.

A Matlab reading program for TI AWR1642

A intelligent tumble-detect system based on TI-AWR1443 and UP2

Texas Instruments' mmWave Evaluation Module's Demo Visualizer

Visualizer for data from Texas Instruments' mmWave radar SoCs

Texas Instruments' mmWave Evaluation Module's sensing estimator

Texas Instruments' mmWave Evaluation Module's fluid level transmitter

Texas Instruments' mmWave Evaluation Module's high accuracy visualizer

This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks

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.

Learning Environment-aware and hardware-compatible beam-forming codebooks

Simulation files for Topics in Wireless Communications.

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.

The project represents the main code for the proposed cross-layer Dynamic sub-array scheduling for 5G applications, in collaboration with Mathworks inc.

Situation Aware Stop Signal | UCF Senior Design Project | Fall 2018 - Spring 2019

Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).