System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)
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Updated
Oct 18, 2024 - MATLAB
System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)
Source code of IEEE TCOM paper: Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks With Double Dynamics.
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.
Python scripts and assets related to Multimodal-Wireless dataset. The dataset can be found at
A Link-Level Simulator for Terahertz MIMO Integrated Sensing and Communication v1.0
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 contains the plug and play code for "mmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensing"
Source code of IEEE TVT paper: Superposed IM-OFDM (S-IM-OFDM) : An enhanced OFDM waveform for Integrated Sensing and Communications (ISAC).
A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac
This refers to the paper multi-modal pose estimation in XR applications leveraging ISAC
This dataset refers to the paper https://arxiv.org/abs/2306.17062. The dataset consists of beam SNR samples corresponding to set of 10 gestures across three people and two environments
A repository that documents the codes used for evaluating the performance of the teacher-student scheme presented in the paper "Unsupervised Learning Approach for Distributed Beamforming in Cell-Free Integrated Sensing and Communication with Dynamic Balancing Method"
Scalable Estimation Architecture for Integrated Sensing and Communication - PLAIN
This repository provides the implementation of the work SAWEC
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