eecqupt,github

aerial-ris

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

aimap

Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

ambient-backscatterers-using-fm-broadcasting-for-low-cost-and-low-power-wireless-applications

Hardware and Software files of IEEE publication: Ambient Backscatterers using FM Broadcasting for Low Cost and Low Power Wireless Applications

artificial-intelligence-deep-learning-machine-learning-tutorials

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! 😀)

awesome-tensorlayer

A curated list of dedicated resources and applications

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bi-directional-channel-reciprocity

Python code and related materials for DualNet and U2D network.

cell-free-isac-beamforming

Implementation of the paper "Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming"

cf_uav

UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

channel-estimation-for-intelligent-reflecting-surface-assisted-multiuser-communications

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.

channel-feedback-for-ris

The codes for D. Shen and L. Dai, “Dimension reduced channel feedback for reconfigurable intelligent surface aided wireless communications,” IEEE Trans. Commun., 2021.

cnn-aided-weighted-interpolation-for-channel-estimation-in-vehicular-communications

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.

communication_ebooks

上传一些关于通信的好书，以便不时之需。

contrastivessl_wirelesspowercontrol

Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)

convex-optimization-1

A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments

coupled-phase-shift-star-ris

The code for the paper "Coupled Phase-Shift STAR-RISs: A General Optimization Framework" in IEEE Wireless Commun. Lett.

crnoma_ddpg

A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems

crowdsensing-1

Crowdsensing in Cognitive Radio Networks

cvx

A MATLAB system for disciplined convex programming

cvx-rss-toa

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.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d3l-hb

This is the code for the paper "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI".

deep-learning-from-scratch

《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》

deep-reinforcement-learning-for-5g-networks

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.

deep-reinforcement-learning-for-movement-control-of-uavs-in-environmentmonitoring-

This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcment-learning

This is the repository for the deep reinforcement learning in classic and novel wireless communication scnarios.

deeplearning_for_wireless_signal_strength_prediction

[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).

deployment-optimization-for-wireless-sensor-networks-using-genetic-algorithm

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.

dl-channel-estimation-mamimo

This repository contains the code needed to reproduce results in the paper by M. Belgiovine, et al. “Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO,” accepted at IEEE Wireless Communications Magazine (WCM), April 2021.

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