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attention_based_neural_networks_for_wireless_channel_estimation

Code for the paper Attention Based Neural Networks for Wireless Channel Estimation HA02

awesome-learning-resource

A curated list of all kinds of learning resources, blogs, books, videos and so on. And I'll keep it up to date. 😉

cell-free-survey

cnn4ce

Source codes of the article "Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems" in IEEE JSTSP

commpy

Digital Communication with Python

dam-pytorch

PyTorch Official Implementation of DiscriminAtive Masking (NeurIPS 2021)

deep-generalized-unfolding-networks-for-image-restoration

Accepted by CVPR 2022

deep-learning-based-signa-detection

模型驱动的深度学习信号检测方法

deep-learning-for-svd-and-hybrid-beamforming

Deep neural network (DNN) architectures to compute the SVD and hybrid beamformers

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deepsic

Data-driven implementaion of soft iterative interference cancellation for MIMO detection

deepunfolding_wmmse

This repository contains the entire code for our TWC work "Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems", available at: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9246287 and has been accepted for publication in TWC.

detection-of-abrupt-change-in-channel-covariance-matrix-for-multi-antenna-communication

This code is for paper: R. Liu, L. Liu, D. He, W. Zhang, and E. G. Larsson, "Detection of abrupt change in channel covariance matrix for multi-antenna communication," to appear in IEEE Global Communications Conference (Globecom), 2021.

dl-dsc-fdd-massive-mimo

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.

dl-progressive-distributed-compression

dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

dual-polarization

Simulation code for “Massive MIMO with Dual-Polarized Antennas,” by Özgecan Özdogan, Emil Björnson, IEEE Transactions on Wireless Communications, To appear.

fedrl

Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, 2022.

fundamentals_of_wireless_communication

id4100-wireless-lab-iitm

ID4100 Project, with an aim of introducing people to wireless technology

lpdl

The codes are for the paper: ``Complete Dictionary Learning via \ell_p-norm Maximization'',Yifei Shen∗ , Ye Xue∗ , Jun Zhang , Khaled B. Letaief , Vincent Lau and "Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold," Y. Xue, Y. Shen, V. Lau, J. Zhang and K. B. Letaief, in IEEE Transactions on Wireless Communications.

matrix-calculus-tutorial

Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程

ml_notes

机器学习算法的公式推导以及numpy实现

mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

must-reading-on-isac

Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

nearfield5glocalization

Position error bounds and sub-array processing for near-field

ocd_sim

Simple massive MU-MIMO system simulator for Optimized Coordinate Descent (OCD)

optimization-for-wireless-communications

overloaded_mimo

Deep learning aided iterative detection algorithm for massive overloaded MIMO channels