《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

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)

MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现

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

Intro to software-defined radio with LimeSDR workshop

Compares 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.

WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks

Classes, functions and scripts related to Underwater Wireless Optical Communication

Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis, IEEE Transactions on Communications, Sep. 2021.

A Machine Learning Approach for Power Allocation in HetNets Considering QoS

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.

Allows to reproduce all figures from "FBMC-OQAM in Doubly-Selective Channels: A New Perspective on MMSE Equalization", IEEE SPAWC, 2017.

Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024

Some basic antenna selection algorithms

Real time monitoring of highways

Simulate Rayleigh fading channel by Filtered Gaussian Noise Method and Sum of Sinusoids Methods

COM 5170 Wireless Communication Systems 2021 Course Materials

Scripts, classes and functions related to Optical Wireless Communication

A Link-Level Simulator for Terahertz MIMO Integrated Sensing and Communication v1.0

Codes for reproducing the numerical results reported in: "Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing" by F. Saggese, V. Croisfelt, F. Costanzo, J. Shiraishi, R. Kotaba, P. Di Lorenzo, and P. Popovski.