wireless-communication
There are 48 repositories under wireless-communication topic.
ML4Comm-Netw / 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
chaoyanghe / Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
federated-learningmachine-learningdistributed-optimizationnon-iidvertical-federated-learningdecentralized-federated-learninghierarchical-federated-learningneural-architecture-searchtransfer-learningcontinual-learningsemi-supervised-learningadversarial-attack-and-defenseprivacycommunication-efficiencystraggler-problemcomputation-efficiencywireless-communicationinterpretabilityincentive-mechanismcomputer-visionken0225 / RIS-Codes-Collection
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.
- Language:Matlab 871
JiaoXianjun / BTLE
Bluetooth Low Energy (BLE) packet sniffer and transmitter for both standard and non standard (raw bit) based on Software Defined Radio (SDR).
Language:Jupyter Notebook 823yuanhao-cui / Must-Reading-on-ISAC
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
Language:MATLAB 725yang69 / MIMO-OFDM-Wireless-Communications-with-MATLAB
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
Language:Matlab 373scipag / btle-sniffer
Passively scan for Bluetooth Low Energy devices and attempt to fingerprint them
Language:Python 162- Language:Python 158
- rfmlLanguage:Jupyter Notebook 150
zhongyuanzhao / dl_ofdm
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
Language:Python 139aboulogeorgos / Wireless-communication-systems-Lab
GNU-radio wireless communication system lab
Language:Python 132deep5050 / HighlightedCS
Popular computer science books (PDF) with highlighting :) add yours now
Language:Python 106rnissel / Channel-Estimation
Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018
Language:MATLAB 103myriadrf / LimeSDR_Workshop
Intro to software-defined radio with LimeSDR workshop
Language:MATLAB 93adtmv7 / DeepSlice
DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks
Language:Python 77Compares FBMC to OFDM based schemes. Reproduces all figures from “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, 2017.
Language:MATLAB 75sparkfun / nRF52832_Breakout
Breakout board for the Nordic nRF52832, a BLE/ANT/2.4GHz, Cortex-M4F SoC.
Language:C 74lab-emi / 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.
Language:Python 62MarcinWachowiak / gr-aoa
GNU Radio package implementing MUSIC and root MUSIC angle of arrival algorithms with blocks necessary to provide phase synchronization of USRP devices
Language:C++ 56vkumar-ucd / SCABeamformingIRS
Simulation code for "A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink," by V. Kumar, R. Zhang, M. D. Renzo and L. -N. Tran, IEEE Wireless Communications Letters, doi: 10.1109/LWC.2022.3224316.
Language:Python 51xushushu231 / The-JUAD-resource-allocation-for-D2D-in-a-FDD-cellular-network
WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks
Language:MATLAB 50Barkhausen-Institut / hermespy
The Heterogeneous Radio Mobile Simulator
Language:Python 44vguerra1987 / underwater-wireless-optical-communication
Classes, functions and scripts related to Underwater Wireless Optical Communication
Language:MATLAB 44trinhudo / Multi-RIS
Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis, IEEE Transactions on Communications, Sep. 2021.
Language:MATLAB 42ocatak / 6g-channel-estimation-dataset
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
Language:Jupyter Notebook 41GigayasaWireless / toolkit5G
5G Tookit provides a rich set of 3GPP standards compliant modules and libraries. These modules can be used for reseach and development on physical channels and procedures in uplink and downlink communication.
abdulkarimgizzini / DL-based-Channel-Estimation-in-Doubly-Dispersive-Environments-
This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
AravindGanesh / ML_WirelessComm
Machine Learning Applications in Wireless Communications - Project work
Language:Jupyter Notebook 31Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.
Language:Python 30Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024
Language:MATLAB 29- Language:MATLAB 28
This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.
Language:MATLAB 25Allows to reproduce all figures from "FBMC-OQAM in Doubly-Selective Channels: A New Perspective on MMSE Equalization", IEEE SPAWC, 2017.
Language:MATLAB 23SKKU-ESLAB / Virtual-Connection
Virtual Connection: Framework for P2P Communication Abstraction
Language:C++ 23Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, published in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.
Language:Python 23
