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deep-traffic-lab

deepchannellearning4ris

Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning

deephybridbeamforming

These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 please cite the above work if you use this codes, For any comments and questions please email: [email protected] This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.

deeplearning

深度学习、强化学习、模仿学习与机器人

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-coordinatedbeamforming-python

Coordinated beamforming paper implementation with DeepMIMO-python

deepmimo-5gnr

DeepMIMO 5G NR dataset codes for mmWave and massive MIMO applications

deepmimo-codes

DeepMIMO dataset and codes for mmWave and massive MIMO applications

deepmimo-examples

DeepMIMO dataset examples

deepmimo-python

DeepMIMO python dataset codes for mmWave and massive MIMO

deepnetworks-for-doa-estimation-in-low-snr

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeprl_driving_behaviors

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

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.

dget

diffusion-gradient-descent-tls

MATLAB code for [R. Arablouei, S. Werner, and K. Doğançay, “Diffusion-based distributed adaptive estimation utilizing gradient-descent total least-squares,” in Proc. Int. Conf. Acoust., Speech Signal Process., Vancouver, Canada, May 2013, pp. 5308-5312.]

distributed-compressive-sensing-a-deep-learning-approach

Distributed Compressive Sensing: A Deep Learning Approach

dl-activelearning-beamalignment

Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment

dl-activesensing

Active Sensing for Communications by Learning

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.

dl-dsc-fdd-massive-mimo

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

dl-hybrid-precoder

Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

dl-jhpf

Source codes of the article: "Framework on Deep Learning-Based Joint Hybrid Processing for mmWave Massive MIMO Systems" in IEEE Access.

dl-massive-mimo

DL tackling Massive-MIMO problems

dl-progressive-distributed-compression

dl_ofdm

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

dlfortp

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

double-deep-q-learning-for-resource-allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"