Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
-
Updated
Jan 11, 2024 - Python
Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Simulation code for V. Kumar, M. Chafii, A. L. Swindlehurst, L. -N. Tran and M. F. Flanagan, "SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 5992-5997, doi: 10.1109/GLOBECOM54140.2023.10437283.
This repository provides the implementation of the work SAWEC
Add a description, image, and links to the integrated-sensing-and-communication topic page so that developers can more easily learn about it.
To associate your repository with the integrated-sensing-and-communication topic, visit your repo's landing page and select "manage topics."