Master 5G Communication Systems with MATLAB: NOMA & OMA Techniques

What you will learn:

Understand the principles of NOMA and OMA in 5G communication
Calculate the achievable rate for NOMA and OMA systems
Analyze the impact of imperfect SIC on downlink NOMA capacity
Investigate the effects of NOMA fixed power allocation on BER performance
Determine the user capacity limitations of NOMA compared to OMA
Learn effective user pairing techniques for NOMA optimization
Master both fixed and dynamic power allocation strategies in NOMA
Simulate BER, capacity, and outage probability of NOMA over a Rayleigh fading channel using MATLAB

Description

Unlock the power of 5G communication systems with this comprehensive MATLAB-based course!

Designed for undergraduate and postgraduate students in electronics and communication engineering, this course equips you with the essential knowledge and practical skills to analyze and simulate key performance metrics for NOMA and OMA systems.

Dive deep into:

Estimating channel capacity using Shannon's formula
Analyzing the achievable rate of uplink/downlink NOMA and OMA
Investigating the impact of imperfect Successive Interference Cancellation (SIC) on downlink NOMA rate capacity
Exploring the influence of NOMA Fixed Power Allocation (FPA) on Bit-Error-Rate (BER) performance
Understanding the user capacity limits of NOMA compared to OMA
Mastering user pairing techniques for optimized NOMA performance
Implementing both fixed and dynamic power allocation strategies in NOMA
Simulating the BER, capacity, and outage probability of NOMA over a Rayleigh fading channel using MATLAB

This course provides a structured and practical approach, featuring clear explanations, step-by-step coding examples, and valuable insights. Save countless hours of research and gain a solid foundation in 5G technology, NOMA, and OMA.

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