cse2011 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

5g-wireless-network

5gnrmatlabsim

aff3ct

A fast simulator and a library dedicated to the channel coding.

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.

beam-combination-for-beamspace-mimo

cell-free-survey

codility

My C++ solutions to the Lessons section of Codility

commsystem

:honeybee: EE 3018: Convolutional Code and OFDM Transceiver Implementation

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

crnet

Channel Reconstruction Network implemented in PyTorch

deepfloat

An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.

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.

dlrm

An implementation of a deep learning recommendation model (DLRM)

fun_ofdm

802.11a PHY Layer Implementation for USRP

generate_channelinf

generate channel information according to 3GPP spatial channel model(SCM)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

first repo

hybrid-precoding

Implements Hybrid precoding in mmWave MIMO systems

hybridprecodingmassivemimo

This project contains MATLAB codes for the paper: L. Liang, W. Xu, and X. Dong, "Low-complexity hybrid precoding in massive mulituser MIMO systems," IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 653-656, Dec. 2014.

lcgnet

An implementation of ‘’Learned Conjugate Gradient Descent Network for Massive MIMO Detection‘’

ldpc

C and MATLAB implementation for LDPC encoding and decoding

ldpc-1

C++ implementation of IEEE 802.11 codec (based on IT++)

ldpc-2

Lab 4b with LDPC implementation

ldpc-3

Nonbinary LDPC codes encoding and decoding implementation

ldpc_codes

Low density parity check codes. Encoder and belief propagation decoder written in C++.

ldpc_sim

Simulation of LDPC codes, with 802.11 matrices included

ldpc_simulator

C++ simulation environment for LDPC codes.

libdabdemod

Data over DAB: Demodulate OFDM into symbol string

limited-feedback-channel-estimation-in-massive-mimo-systems

Today, plenty of cellular systems utilize frequency-division duplexing (FDD). Downlink training for channel state information in FDD is difficult since training and feedback overhead is proportional to the number of antennas at the base station, which is large in a Massive MIMO systems. To deal with the limited feedback mechanism of downlink channel in FDD Massive MIMO system, we can adopt the double directional model. This is applicable for the 5G systems to get high capacity and data rate. We analyse and test the performance of the Limited feedback channel with DD model via the MATLAB and we had the better performance rather than other models.