Popular GitHub Repositories for Vehicular Communications

? The open-source alternative to Twilio.

Collective communications library with various primitives for multi-machine training.

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

Gateway for secure & reliable communications with OpenAI and other LLM providers

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces

A PyTorch-based toolkit for simulating communication systems

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

CNN-Based Resource Allocation for Energy-Efficient D2D Communications

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications

Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning. Nature Communications (Medicine).

A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks

Flexe - The open source federated learning for vehicular network simulation framework.

This respository consists of the source codes that allow one to realize over-the-air computation for federated edge learning by using Adalm Pluto SDRs.

Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation (IEEE Communications Letters)

A comparative study of deep learning models for predicting Channel State Information (CSI) in massive MIMO systems. Integrates COST2100 dataset with STNet compression and evaluates models based on NMSE, RMSE, and spectral efficiency.

LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing