The Complete Matlab Course for Wireless Comm. Engineering

Mastering Communication Systems with MATLAB: BER, OFDM, and Channel Analysis

If you’re an undergraduate or postgraduate student in electronics and communication engineering, this Udemy course is tailored to help you grasp the theoretical and practical concepts of communication systems using MATLAB. Designed to save months of hard work, this course provides 31 detailed lessons. Each lesson combines theoretical explanations with simulated figures, offering a hands-on approach to mastering key concepts.

This course covers advanced topics such as Bit-Error-Rate (BER) performance, Rayleigh fading channels, Carrier Frequency Offset (CFO) problems, Peak-to-Average Power Ratio (PAPR) estimation, and pre-coded downlink Non-Orthogonal Multiple Access (NOMA) systems. Whether you’re new to these concepts or looking to strengthen your knowledge, this course delivers in-depth coverage and practical coding solutions using MATLAB.

By the end of this course, you will be equipped with the skills to analyze and simulate communication systems, enabling you to tackle real-world engineering challenges and excel in your academic pursuits.

What You Will Learn

This Udemy course is packed with comprehensive topics, including but not limited to:

1. Bit-Error-Rate (BER) Performance Analysis

   • Estimate BER performance over a Single-Input-Single-Output Orthogonal Frequency Division Multiplexing (SISO-OFDM) system using Fast Fourier Transform (FFT) over Additive White Gaussian Noise (AWGN) channels with various mapping schemes.
   • Extend the analysis to Rayleigh fading channels with and without equalization procedures.

2. Channel Modeling and Simulation

   • Generate Rayleigh fading channels using the Jakes fading model and study their impact on communication system performance.

3. Carrier Frequency Offset (CFO) Analysis

   • Examine the effects of CFO on OFDM systems and estimate the Mean Square Error (MSE) performance for CFO estimation using the Cyclic Prefix (CP) symmetry property over AWGN and Rayleigh fading channels.

4. Discrete Transform Techniques

   • Estimate BER performance using Discrete Sine Transform (DST) and Discrete Cosine Transform (DCT) over AWGN and Rayleigh fading channels with various mapping schemes and equalizers.

5. Peak-to-Average Power Ratio (PAPR) Estimation

   • Calculate PAPR for OFDM systems using FFT, DST, and DCT techniques, enabling you to understand and mitigate high PAPR challenges.

6. Pre-coded Downlink NOMA Systems

   • Analyze BER and PAPR performance for FFT/DST/DCT pre-coded downlink NOMA systems using localized and interleaved sub-carrier mapping over Rayleigh fading channels.

7. Generalized Coding Techniques

   • Explore a general MATLAB code for BER estimation in Nt×Nr OFDM configurations, providing a flexible solution for different scenarios and systems.

Why Take This Course?

This Udemy course is an essential resource for students in electronics and communication engineering who are looking to:

• Gain a strong theoretical foundation in communication systems.
• Master practical MATLAB programming for simulating and analyzing communication system performance.
• Save time on understanding complex concepts by following step-by-step explanations and simulations.

The course focuses on real-world applications, enabling students to bridge the gap between academic knowledge and practical engineering problems. It’s a must for anyone aiming to excel in communication systems and MATLAB programming.

Who This Course is For

This course is ideal for:

• Undergraduate and postgraduate students in electronics and communication engineering.
• Researchers and professionals looking to enhance their knowledge of communication system analysis.
• Anyone interested in mastering MATLAB programming for communication systems.

Requirements

To get the most out of this course, you should have access to MATLAB software. No prior advanced knowledge is required, as the course is beginner-friendly and provides all the necessary details to get started.

Instructor

Dr. Khaled Ramadan

Why MATLAB?

MATLAB is one of the most powerful tools for simulating communication systems, making it an essential skill for electronics and communication engineers. This course will show you how to leverage MATLAB’s capabilities to:

• Model real-world communication systems.
• Analyze system performance under different scenarios.
• Develop a deep understanding of concepts like BER, PAPR, and CFO estimation.

Enroll Today

Don’t miss this opportunity to enhance your academic and professional journey. With this comprehensive Udemy course, you’ll gain the skills to tackle advanced communication system challenges and make significant strides in your career.

Enroll now and take the first step toward mastering communication systems with MATLAB!