zhiwei_chen's repositories
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users
Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices which also use multiple antennas on their side. For this, various precoding and detection techniques are used, allowing each us
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.
compression-mimo-channels
Source code of the paper 'Compression Techniques For MIMO Channels in FDD Systems' (IEEE DSLW 2022).
daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
dl_ofdm
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
GaBOtorch
This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
gemmlowp
Low-precision matrix multiplication
gr-mimo-ofdm-jrc
MIMO OFDM Joint Radar-Communication (JRC) Transceiver
MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
matrix-compressor
Implementation of LPLR algorithm for matrix compression
oaic
Core software for Open AI Cellular
OpenDPD
OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
py3gppchannels
The py3gppchannels library is a Python package that implements the 3GPP standardized radio channel models (3GPP TR 38.901). It provides a comprehensive set of functions for simulating wireless communication systems and evaluating their performance under realistic channel conditions.
radio-stripes
Simulation code for “MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes,” by Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson, IEEE Transactions on Communications, to appear.
score-based-channels
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.
sketched_fAb
Implementation of algorithms presented in "Randomized sketching for Krylov approximations of large-scale matrix functions"
team-MMSE
Simulation code for “Team MMSE Precoding with Applications to Cell-free Massive MIMO” by Lorenzo Miretti, Emil Björnson, David Gesbert, IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 6242-6255, August 2022
vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
zfista
A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization