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1bit_precoding

a_clustering_approach_to_wireless_scheduling

Repository exploring wireless D2D links scheduling using various clustering techniques.

alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-mimo-systems

Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

altmin

Low Complexity Signal Detection Algorithm for Massive MIMO communications

antenna-selection

Some basic antenna selection algorithms

artificial_noise_securetransmission

Artificial Noise Assisted Secure Massive MIMO Transmission With Statistical CSI

cell-free-book

Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.

cell-free-isac-beamforming

Implementation of the paper "Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming"

cell-free-mimo-refs

Cell-Free MIMO 学习交流资料

cell-free-survey

cell_free_mmimo

cellfreemimoenergyefficiency

Simulation for "On the total energy efficiency of cell-free massive MIMO" by H. Q. Ngo, L.-N. Tran, T. Q. Duong, M. Matthaiou, E. G. Larsson, IEEE Trans. Green Commun. and Network., vol. 2, no. 1, pp. 25-39, Mar. 2018.

cf_uav

UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

channel-est

Bayesian Massive MIMO Channel Estimation with Parameter Estimation using Low-Resolution ADCs

coordinatedprecoding.jl

Julia package providing a framework for multicell MIMO simulations.

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

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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.

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.

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.

energy-efficient-data-detection-for-uplink-multiuser-massive-mimo-systems

energy_efficiency_optimization_for_mimo_interference_networks

Solving energy efficiency optimization problem for MIMO interference wireless network using iterative semi-definite programming with WMMSE (SDP-WMMSE) algorithm and successive convex approximation (SCA) algorithm

fastsbl

A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem

fdmmwave

Algorithmic solution for hybrid beamforming on full-duplex millimeter wave communications

framework-of-robust-transmission-design-for-irs-aided-miso-communications

Simulation code for “A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels,” by G. Zhou, C. Pan, H. Ren, K. Wang and A. Nallanathan,  IEEE Transactions on Signal Processing, vol. 68, pp. 5092-5106, 2020.

gaozhen16.github.io

globecom2023

This is a collection of MATLAB scripts to generate numerical results for the paper "Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy Assessment"

gnn-irs-beamforming-reflection