Master Wireless Communication Engineering with MATLAB: BER Simulations and Real-World Applications

What you will learn:

How to estimate the Bit-Error-Rate (BER) performance of different modulation schemes like BPSK, QPSK, 16QAM, 64QAM, and 256QAM over an Additive White Gaussian Noise (AWGN) channel?
How to generate and simulate a Rayleigh fading channel based on the Jakes model?
How to mitigate the effects of Rayleigh fading channels using different linear equalizer schemes?
How to estimate the Bit-Error-Rate (BER) performance over Single-Input-Single-Output (SISO) Orthogonal Frequency Division Multiplexing (OFDM) communication systems over a Rayleigh fading channel?
How to extend this knowledge to analyze and simulate 2×2 and 3×3 MIMO-OFDM systems over a Rayleigh fading channel?
How to develop a versatile code for BER estimations in arbitrary Nt×Nr configurations for OFDM systems?
How to understand the BER performance of Non-Orthogonal Multiple Access (NOMA) communication systems, a key technology in 5G communication?

Description

Dive deep into the world of wireless communication engineering with this comprehensive MATLAB course. Designed for students and professionals, this course provides hands-on experience with essential BER (Bit Error Rate) estimation techniques for various communication systems like OFDM and NOMA.

You'll gain a thorough understanding of core concepts and learn to apply them in real-world scenarios. Explore:

Modulation Techniques: Master BER calculations for BPSK, QPSK, 16QAM, 64QAM, and 256QAM over AWGN channels.
Rayleigh Fading Channel Modeling: Generate and simulate Rayleigh fading channels using the Jakes model.
Channel Equalization: Discover methods to mitigate the effects of Rayleigh fading channels using linear equalizer schemes.
OFDM System Analysis: Perform BER estimations on Single-Input-Single-Output (SISO) OFDM systems over Rayleigh fading channels.
MIMO Techniques: Expand your knowledge to analyze and simulate 2×2 and 3×3 MIMO-OFDM systems.
General Code for BER Estimation: Develop a versatile code for BER estimations with arbitrary Nt×Nr configurations in OFDM systems.
NOMA for 5G: Explore the BER performance of Non-Orthogonal Multiple Access (NOMA), a key technology in 5G communication.

This course will equip you with the practical skills and theoretical foundation needed to excel in wireless communication engineering. Don't miss out – join now and embark on your journey to becoming a wireless communication expert!

Curriculum

Introduction to Wireless Communication Engineering & MATLAB

This section provides a comprehensive overview of wireless communication engineering, covering essential concepts and introducing the powerful MATLAB programming environment. The 'Course Overview' lecture lays the foundation for the course, outlining the key topics and methodologies you'll explore. You'll gain an understanding of how MATLAB facilitates simulations and analysis in wireless communication.

BER Estimation for Various Modulation Schemes over AWGN Channels

This section delves into the fundamental principles of BER estimation, focusing on different modulation schemes commonly employed in wireless communication. You'll learn how to accurately estimate the BER performance of BPSK, QPSK, 16QAM, 64QAM, and 256QAM modulation techniques over Additive White Gaussian Noise (AWGN) channels. Practical examples and detailed code implementations will equip you with the tools to analyze and compare the performance of these modulation schemes under different noise conditions.

Rayleigh Fading Channel Modeling and BER Estimation Without Equalization

This section introduces you to the concept of Rayleigh fading, a crucial phenomenon in wireless communication. You'll learn how to simulate a Rayleigh fading channel based on the Jakes model and analyze the impact of fading on signal transmission. The lectures cover the estimation of BER over a Rayleigh fading channel without employing channel equalization techniques, providing a clear understanding of the challenges posed by fading environments.

Mitigating Rayleigh Fading with Channel Equalization Techniques

This section explores techniques for mitigating the adverse effects of Rayleigh fading channels through channel equalization. You'll learn the principles of linear equalization and its practical application in improving communication performance. The lectures demonstrate how to effectively estimate BER in the presence of fading by implementing different linear equalizer schemes, enabling you to combat the degrading effects of channel distortions.

BER Estimation for SISO-OFDM Systems over Rayleigh Fading Channels

This section focuses on the analysis of Single-Input-Single-Output (SISO) Orthogonal Frequency Division Multiplexing (OFDM) systems, a widely used technique in modern wireless communication. You'll learn how to estimate BER performance for SISO-OFDM systems operating over Rayleigh fading channels. The lectures provide practical code examples and simulations, illustrating the process of BER estimation and demonstrating the advantages of OFDM in mitigating fading effects.

BER Estimation for MIMO-OFDM Systems: 2x2 and 3x3 Configurations

This section extends your understanding of OFDM to Multiple-Input-Multiple-Output (MIMO) systems, a powerful technique for enhancing communication capacity and reliability. You'll explore the BER estimation process for both 2×2 and 3×3 MIMO-OFDM systems operating over Rayleigh fading channels. The lectures provide detailed code implementations and simulations, demonstrating the benefits of MIMO technology and how it can be used to achieve higher data rates and improved signal quality.

General Code for BER Estimation in Nt×Nr OFDM Systems

This section provides a comprehensive understanding of BER estimation in general Nt×Nr configurations for OFDM systems. You'll develop a versatile MATLAB code that can be applied to any number of transmitting (Nt) and receiving (Nr) antennas in an OFDM system. This section empowers you with the ability to analyze the BER performance of OFDM systems with varying antenna configurations, offering valuable insights into the scalability and flexibility of the technology.

BER Estimation for NOMA Communication Systems: Exploring 5G Technology

This section introduces you to the emerging technology of Non-Orthogonal Multiple Access (NOMA), a key feature in 5G communication systems. You'll learn the principles of NOMA and its advantages in enhancing spectral efficiency and supporting multiple users simultaneously. The lectures focus on the estimation of BER performance for NOMA systems, providing insights into the practical implementation and potential benefits of this advanced technology.

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