wozaimoyu Goto Github PK

communication_ebooks

上传一些关于通信的好书，以便不时之需。

complex-networks-release

Implementation related to the paper "Complex-Valued Convolutional Neural Networks for MRI Reconstruction" by Elizabeth K. Cole et. al; Toolbox for complex-valued convolution and activation functions using an unrolled architecture.

complex-resnet-aided-doa-estimation-for-near-field-mimo-systems

IEEE TVT paper related codes

compression-mimo-channels

Source code of the paper 'Compression Techniques For MIMO Channels in FDD Systems' (IEEE DSLW 2022).

constrained_tensor_decomposition_hybrid_beamforming

Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems

convlstmcsinet

crnet

Channel Reconstruction Network implemented in PyTorch

csi-exch-massive-mimo

Matlab code of the algorithms developed in paper titled "Feedback Mechanisms for FDD Massive MIMO with D2D-based Limited CSI Sharing"

csinet-quant

Repo for CsiNet-Quant -- Soft quantization for entropy-regularized DL CSI estimation

cvlnet

This is a repository for CVLNet

cyclese-gan

Unsupervised Ancient Document Image Denoising Based on Attention Mechanism

d3l-hb

data-driven deep learning-based hybrid beamforming

ddqn_beamselection

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

deep-compression

Compress neural network with pruning and quantization using TensorFlow.

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

Accepted by CVPR 2022

deep-learning-aided-rate-optimization-in-fdd-massive-mimo-with-channel-statistics-knowledge

deep-learning-based-csi-estimation-for-5g-communication

A framework to estimate the Channel State Information for a 5G communication

deep-learning-based-csi-feedback-approach-for-time-varying-massive-mimo-channels

deep-learning-based-radiomap

This is the repository for ICC 'UAV-aided Joint Radio Map and 3D Environment Reconstruction using Deep Learning Approaches' by Junting Chen and Pengxi Zeng.

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

deep-learning-framework

deep-learning-power-allocation-in-massive-mimo

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

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-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-unfolding-beamforming-for-intelligent-reflecting-surface-assisted-full-duplex-systems

deepbp-ae

deepchannellearning4ris

Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning

deepjscc-noma

deeplearning-coordinatedbeamforming

Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access, vol. 6, pp. 37328-37348, 2018.

deeplearning_mimo