Learn how to get started with MATLAB and Simulink for wireless communications.

In this project I primarily use 16 QAM (Quadrature Amplitude Modulation) for simulation. Using Matlab, I have built the model of a simple 802.11n wireless communication system with some use of the communication tool box. The bit error rate plot was obtained to verify the theoretical result.

Navigate using the links on the left panel for code documentation. A learner-friendly, practical and example driven book, Wireless Communication Systems in Matlab gives you a solid background in building simulation models for wireless systems in Matlab.

In this code I build and simulate a wireless communication system on matlab. Any communication system is formed of three main components: a transmitter, a channel and a receiver. The information source sends the message signal via the transmitter and the signal is conducted to a receiver via a channel where it can be overlapped with noise.

Design wireless communication algorithms for hardware by using Wireless HDL Toolbox™ blocks. Retrieve Wi-Fi ® network information from captured OFDM packets. Blindly detect, decode, and analyze IEEE 802.11™ packets in a waveform. Generate and transmit Bluetooth BR/EDR waveform by using SDR.

Nov 30, 2023 · Designing a wireless communication system involves several key components, such as modulation, channel coding, interleaving, modulation, and decoding. Below is a simplified example of a basic wireless communication system using MATLAB. . matlabCopy code% Wireless Communication System in MATLAB % Parameters

Dec 11, 2024 · Communications Toolbox™ support package for wireless network simulation provides functions, apps, and examples for the modelling, simulation, and analysis of wireless networks.

Mar 31, 2016 · This book covers a wide range of topics from the physical layer to the networking layers of a hybrid wireless/wireline information transport platform. The fundamental aspects of mobile cellular communications and networking are interweaved into a …

Contains MATLAB and Python codes and plots for deriving inferences for various concepts of Wireless Communications.

Objective: Simulate a simple communication system and estimate bit error rate. digital matched filter. Measure: Bit-error rate as a function of Es/N0 and oversampling rate. Figure: Baseband Equivalent System to be Simulated. The system in the …