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1bit_linear_precoding_ofdm

a-quantizaiton-framework-for-pm-based-vq-vae

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

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

capacity-estimation-on-the-mathworks-5g-nr-cdl-model

Single-link channel capacity estimation on the microwave and millimetre wave frequencies by using the Mathworks 5G NR CDL model for NLOS.

cell-free-survey

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).

constrained-kg

daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

deepunfolding_wmmse

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

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

gnn-resource-management

gnn4com

gr-mimo-ofdm-jrc

MIMO OFDM Joint Radar-Communication (JRC) Transceiver

hellogreat.github.io

helloworld

for the first

helloworld3

invrand

Inverse Random is a suite of randomized methods for inverting positive definite matrices implemented in MATLAB

massive-mimo-precoding

Linear and Nonlinear precoding in downlink Multi-user Massive MIMO systems

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

millimeterwavetxarraycomparison

missingdataot

A Pytorch implementation of missing data imputation using optimal transport.

modelarts-lab

ModelArts开发者交流互动平台，@ModelArts服务官网：https://www.huaweicloud.com/product/modelarts.html

mpnystrom

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.