MIMO,MISO,Wireless Communication Experiments

This repository contains MATLAB simulations for wireless communication and optimisation experiments.

Project Structure

Folder	Contents
practice/	Water-filling practice implementation used to explore power allocation across parallel channels.
cw1-mimo-capacity-and-ber/	MIMO capacity, water-filling, QPSK link simulations, and BER comparisons across SISO, SIMO, MISO, and MIMO configurations.
cw2-massive-mimo-simulation/	Massive MIMO simulations covering random user deployment, long-term SINR, channel time correlation, scheduling, zero-forcing beamforming, and block diagonalisation experiments.
cw3-beamforming-and-ris-optimisation/	Beamforming and RIS-aided optimisation experiments using KKT, SDP, SOCP, WMMSE, and zero-forcing/water-filling methods.

Result Gallery

MIMO Capacity and BER

Massive MIMO Simulation

Beamforming and RIS Optimisation

Running the Simulations

Open MATLAB from the repository root and add the relevant source folders before running an experiment script. For example:

addpath(genpath("cw1-mimo-capacity-and-ber"));
run("cw1-mimo-capacity-and-ber/main.m");

For the massive MIMO and optimisation experiments, use the corresponding top-level scripts inside cw2-massive-mimo-simulation/legacy, cw2-massive-mimo-simulation/latest, or cw3-beamforming-and-ris-optimisation/.

Author: Claudio Dong