TianLin0509 的其他开源项目
Beamforming design with deep learning.
This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.
最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示
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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, v...
Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.
A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.
不同波束形成算法仿真，共计30余种
Algorithmic solution for hybrid beamforming on full-duplex millimeter wave communications
paper simulation "Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive BeamformingDesign" Qingqing Wu and Rui Zhang
Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazin...
Pytorch codes for "An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation" in IEEE Journal of Selected Topics in Signal Processing (JSTSP), Jul. 2023.
This is the repository for the deep reinforcement learning in classic and novel wireless communication scnarios.
Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE Transactions on Communications
😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
The code for the paper "Simultaneously transmitting and reflecting surface (STARS) for terahertz communications" in IEEE Journal of Selected Topics in Signal Processing
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
常规beamforming，MVDR等
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