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deep_complex_networks

Implementation related to the Deep Complex Networks

deep_learning_based_power_control

deep_learning_for_few-bit_massive_mimo

deeplearning_mimo-noma

Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.

deepmimodetection

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

deeppilotdesign

deepqfourierfeatures

This repo is to support the claims of the paper entitled "Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks" paper accepted at SPAWC, 2021 (Pytorch). Functions for dataset and Environment courtesy of Anastasios Dimas.

deeprl-mmwave-manet

In this work, reinforce learning techniques like Deep Reinforcement Learning (PPO) and Multi-armed bandit are exploited to design mmWave MANET user scheduling and transmission configuration.

deepsic

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

deepunfolding

deepunfolding-1

MS Research(Part of Thesis)

dhdrl

Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation

dissertation

This is the MATLAB code for my dissertation "Sum-rate optimization for IRS-aided MIMO communication"

distinct

Verification of a novel 2D-Basis pursuit Denoising algorithm

dl-activelearning-beamalignment

dl-assisted-calibrated-beam-training

The source code of Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Systems.

dl-based-channel-estimation-in-doubly-dispersive-environments-

dl-based-csi-feedback-sampledl-method

This simulation code package is mainly used to reproduce the results of the paper "Compressive Sampled CSI Feedback Method Based on Deep Learning for FDD Massive MIMO Systems" in IEEE Transactions on Communications, vol. 69, no. 9, 2021, pp. 5873-5885..

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-code-for-isac-fai

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

dlforbearforming

deep learning for multi-group multi-cast beamforming

dmab-for-dynamic-beamforming-with-local-observation

Main data and model for submitted paper: Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dnn-doa

dnn_wmmse

Code to reproduce our works on DNN research.