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attention_channel_estimation

bf-design-with-dl

Beamforming design with deep learning.

cf-low-resolution-adcs

Simulation code for "Cell-Free Massive MIMO With Low-Resolution ADCs Over Spatially Correlated Channels" by Jiayi Zhang, Jing Zhang, and Bo Ai, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

cf-mmimo-hbf

Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2022.

cf_ca_correlated

Simulation code for "Impact of channel aging on cell-free massive MIMO over spatially correlated channels" by Jiakang Zheng, Jiayi Zhang, Emil Björnson and Bo Ai, IEEE Transactions on Wireless Communications, vol. 20, no. 10, pp. 6451–6466, Oct. 2021.

ch_est_data_det_1-bit

This is a collection of MATLAB scripts to generate numerical results for the paper "Channel Estimation and Data Detection Analysis of Massive MIMO with 1-Bit ADCs," IEEE Trans. Wireless Commun. (to appear), 2021

channel-estimation

Channel estimations based on RLS, LMS and ML methods.

channelformer

Code for Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training

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

Accepted by CVPR 2022

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deep_rl

简单测试

deepinv

PyTorch library for solving imaging inverse problems using deep learning

dnn-network-estimate

一个基于通信的DNN网络（初学者适用）

enhancing_least_square_channel_estimation_using_deep_learning

factor-graph-neural-network

Factor Graph Neural Network

final

github_repository_collection

将自己点星的一些仓库进行整理

grant-free

Simulation code for “Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO,” by U. K. Ganesan, E. Björnson and E. G. Larsson, IEEE Transactions on Communications, vol. 69, no. 11, pp. 7520-7530, November 2021

hithesis

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

hybrid_ista

Implementation of Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks

imagedenoisingksvd

MATLAB implementation of the paper "Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries"

learning-mmse-est

Julia code for the paper "Learning the MMSE Channel Estimator"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

massive-mimo-deep-decoder

Implementation of "Massive MIMO Channel Estimation with an untrained deep neural network"

massivemimodetection

Simple massive MIMO simulator that includes several data-detectors

mimo-channel-estimation

Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.

mimo_jcesd

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection

model-driven-hybrid-channel-estimation

Codes for paper Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems

moi

Multi-Operator Imaging (MOI), NeurIPS'2022

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"