Master Wireless Communication Engineering with MATLAB: OFDM, NOMA, and More

What you will learn:

Understand the fundamentals of wireless communication engineering.
Master the use of MATLAB for designing and analyzing wireless communication systems.
Analyze the BER performance, CFO estimation, and PAPR of OFDM systems.
Implement OFDM systems using FFT, DST, and DCT.
Design and analyze precoded downlink NOMA systems.
Explore the concepts of PDM and SIC for NOMA.
Generate Rayleigh fading channels using the Jakes fading model.
Model realistic wireless communication scenarios.
Develop robust wireless communication systems for real-world applications.

Description

Unlock the power of MATLAB for wireless communication engineering with this comprehensive course. Designed for undergraduate and postgraduate students in electronics and communication engineering, this course provides a step-by-step guide to designing and analyzing various wireless communication systems.

Through practical MATLAB code examples, you will gain expertise in:

- OFDM System Analysis: Explore BER performance, CFO estimation, PAPR analysis, and implementation techniques for OFDM systems using FFT, DST, and DCT.

- NOMA Implementation: Dive into the world of Non-Orthogonal Multiple Access (NOMA) and learn to design and analyze precoded downlink NOMA systems with localized and interleaved subcarrier mapping.

- Realistic Channel Modeling: Master the creation of Rayleigh fading channels using the Jakes fading model to accurately simulate real-world wireless communication scenarios.

This course will equip you with the skills and knowledge necessary to confidently tackle real-world wireless communication challenges and excel in your studies or career.

Curriculum

Introduction to Wireless Communication Engineering and MATLAB

This introductory section lays the groundwork for your journey into wireless communication engineering with MATLAB. You'll begin with a comprehensive overview of key concepts in wireless communication, setting the stage for the practical applications that follow. The section culminates with an introduction to MATLAB, the powerful programming environment that will become your tool for designing and analyzing wireless systems throughout the course.

Mastering OFDM System Design and Analysis with MATLAB

Delve into the core of OFDM systems, a fundamental technology in modern wireless communication. You'll explore the principles of OFDM and learn how to implement and analyze its performance using MATLAB. This section covers crucial aspects like BER estimation, CFO mitigation, and PAPR analysis. You'll master the use of FFT, DST, and DCT techniques for OFDM implementation, gaining a deep understanding of their strengths and limitations. By the end of this section, you'll have a solid foundation in OFDM system design and analysis, ready to tackle real-world challenges.

Exploring NOMA for Enhanced Wireless Communication

Dive into the world of Non-Orthogonal Multiple Access (NOMA), a promising technology for next-generation wireless communication systems. You'll learn how NOMA can significantly improve spectral efficiency and user capacity. This section delves into the concepts of power domain multiplexing (PDM) and successive interference cancellation (SIC), crucial techniques for implementing NOMA. You'll master the design and analysis of precoded downlink NOMA systems using both localized and interleaved subcarrier mapping. The practical MATLAB code examples will guide you through the process of implementing and evaluating NOMA systems, providing you with the skills to apply this advanced technology.

Modeling Realistic Wireless Channels with Rayleigh Fading

To simulate real-world wireless communication scenarios accurately, it's essential to understand and model channel effects. This section introduces you to Rayleigh fading, a common channel model that captures the fluctuating signal strength experienced in wireless environments. You'll learn how to generate Rayleigh fading channels using the Jakes fading model, a powerful tool for simulating realistic channel conditions. This knowledge is critical for designing and analyzing wireless systems that perform robustly in real-world scenarios. The MATLAB code examples provided will allow you to implement Rayleigh fading models and incorporate them into your simulations, enhancing your understanding of channel behavior.