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Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, and Zygmunt J. Haas, "Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems," IEEE PIMRC, 2021
Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..
Hardware and Software files of IEEE publication: Ambient Backscatterers using FM Broadcasting for Low Cost and Low Power Wireless Applications
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of dedicated resources and applications
Homepage for STAT 157 at UC Berkeley
Python code and related materials for DualNet and U2D network.
Implementation of the paper "Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming"
UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems
This code is for the paper Z. Wang, L. Liu, and S. Cui, "Channel estimation for intelligent reflecting surface assisted multiuser communications: framework, algorithms, and analysis," IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6607-6620, Oct. 2020.
The codes for D. Shen and L. Dai, “Dimension reduced channel feedback for reconfigurable intelligent surface aided wireless communications,” IEEE Trans. Commun., 2021.
This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.
上传一些关于通信的好书,以便不时之需。
Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)
A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments
Capstone Project: Countering Drones
The code for the paper "Coupled Phase-Shift STAR-RISs: A General Optimization Framework" in IEEE Wireless Commun. Lett.
A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems
Crowdsensing in Cognitive Radio Networks
A MATLAB system for disciplined convex programming
W. Xiong, S. Mohanty, C. Schindelhauer, S. J. Rupitsch and H. C. So, "Convex Relaxation Approaches to Robust RSS-TOA Based Source Localization in NLOS Environments," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3259018.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
This is the code for the paper "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI".
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication
Hands-on Deep Reinforcement Learning, published by Packt
This is the repository for the deep reinforcement learning in classic and novel wireless communication scnarios.
[code] “A Deep Learning Model for Wireless Channel Quality Prediction”. By J. Dinal Herath, Anand Seetharam, Arti Ramesh. In: IEEE International Conference on Communications (ICC-2019).
This repository contains the code for the network simulation used in papers "Evolution-Based Deployment Scheme for Green Internet of Things," and "A Sleep-Scheduling Oil Detection Routing Protocol for Smart Oceans Using Internet of Things". The papers were accepted and published in IEEE WF-IoT 2019 and IEEE WF-IoT 2020.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.