A step by step the Matlab codes for BER/CFO/PAPR estimations of different Comm. systems like OFDM and NOMA Comm. systems
β±οΈ Length: 5.0 total hours
β 4.36/5 rating
π₯ 14,971 students
π June 2021 update
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- Course Overview
- Embark on a practical journey into the heart of wireless communication engineering through the lens of Matlab. This comprehensive course is meticulously designed to bridge the gap between theoretical understanding and real-world system implementation, empowering you to simulate, analyze, and optimize modern wireless communication systems.
- Dive deep into the methodologies for evaluating critical performance indicators such as Bit Error Rate (BER), Carrier Frequency Offset (CFO), and Peak-to-Average Power Ratio (PAPR) across diverse communication paradigms. Gain hands-on experience by building robust simulation environments from the ground up, providing invaluable insights into the intricacies of system behavior under various channel conditions.
- Explore the architectural nuances and performance challenges of contemporary communication standards, including Orthogonal Frequency Division Multiplexing (OFDM) and Non-Orthogonal Multiple Access (NOMA) systems. This course emphasizes a step-by-step, code-driven approach, ensuring that participants not only grasp the concepts but also master the practical implementation techniques essential for any wireless communication engineer or researcher.
- Develop a systematic approach to identifying communication impairments, such as channel fading and synchronization errors, and learn to implement effective mitigation strategies through Matlab programming. This holistic perspective ensures you are well-equipped to design, test, and troubleshoot complex wireless communication prototypes.
- Requirements / Prerequisites
- A foundational understanding of digital communication principles, including modulation, demodulation, and basic channel models, will be highly beneficial for maximizing your learning experience.
- Familiarity with fundamental signal processing concepts and linear algebra will aid in grasping the underlying mathematical frameworks of the simulations.
- Prior basic exposure to Matlab programming syntax and scripting is advantageous, though the course adopts a structured, step-by-step teaching methodology that can accommodate varying levels of prior Matlab proficiency.
- Access to a working installation of Matlab software is essential for hands-on coding exercises and project completion.
- Skills Covered / Tools Used
- Advanced Matlab Programming for Wireless Communications: Master the art of writing efficient, modular, and scalable Matlab code for simulating complex wireless systems, including advanced scripting, function creation, and debugging techniques.
- Comprehensive Wireless System Modeling: Learn to construct complete transceiver chains in Matlab, from information source and channel coding to modulation, channel propagation, and receiver processing, enabling end-to-end system analysis.
- Diverse Channel Environment Simulation: Implement and analyze various wireless channel models beyond basic AWGN and Rayleigh, potentially including frequency-selective fading, path loss models, and their impact on system performance.
- Multi-Carrier System Optimization: Gain a deeper understanding of OFDM system components, including cyclic prefix insertion, IFFT/FFT operations, and subcarrier mapping, alongside techniques for improving its robustness and efficiency.
- Emerging Multiple Access Techniques: Delve into the principles and simulation of NOMA systems, exploring concepts like successive interference cancellation (SIC) and power domain NOMA, and evaluating their potential advantages over traditional orthogonal schemes.
- Power Efficiency and PAPR Reduction Techniques: Implement and assess various algorithms for mitigating high Peak-to-Average Power Ratio (PAPR) in OFDM systems, a critical challenge for power amplifier design and energy efficiency.
- Synchronization and Channel Estimation Algorithms: Beyond CFO estimation, explore techniques for symbol synchronization, carrier phase recovery, and robust channel estimation algorithms crucial for reliable data reception in dynamic wireless environments.
- Data Visualization and Performance Analysis: Develop skills in generating professional-quality plots and effectively interpreting simulation results to draw meaningful conclusions about system performance, trade-offs, and design choices.
- Error Control Coding Implementation: Potentially explore the integration of basic error control coding schemes (e.g., convolutional codes, block codes) into your simulation framework to observe their impact on BER performance.
- Benefits / Outcomes
- Practical Simulation Expertise: You will acquire hands-on proficiency in using Matlab as a powerful tool for designing, simulating, and evaluating sophisticated wireless communication systems.
- Enhanced Research & Development Skills: Develop a strong foundation for conducting independent research in wireless communication, enabling you to prototype new ideas and validate theoretical models through simulation.
- In-depth System Understanding: Gain a comprehensive understanding of how different communication system parameters and impairments interact, leading to informed design decisions and optimization strategies.
- Problem-Solving Prowess: Cultivate robust problem-solving abilities by tackling real-world challenges in wireless communication through practical Matlab implementations.
- Career Advancement: Equip yourself with highly sought-after practical skills in wireless system simulation, opening doors to advanced academic pursuits or industry roles in telecommunications, research, and development.
- Confidence in Performance Analysis: Build confidence in analyzing and interpreting complex simulation data to assess system performance accurately and propose improvements.
- PROS
- Highly Practical and Code-Centric: Offers a deep dive into actual Matlab code implementations, making theoretical concepts tangible and directly applicable.
- Focus on Key Modern Systems: Provides dedicated coverage of essential systems like OFDM and emerging technologies such as NOMA, relevant for current wireless communication landscapes.
- Comprehensive Performance Metrics: Addresses crucial performance metrics (BER, CFO, PAPR) from an implementation perspective, vital for system design and evaluation.
- Structured Learning Path: Guides learners through a step-by-step process, making complex topics approachable and manageable for a diverse audience.
- Strong Foundation for Advanced Topics: Lays an excellent groundwork for further exploration into advanced wireless communication research and development.
- CONS
- While emphasizing practical implementation, participants might need to supplement the course with additional theoretical study for a deeper mathematical understanding of all underlying communication principles.
Learning Tracks: English,Teaching & Academics,Engineering
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