5G Communication System Using Matlab

A step by step the Matlab codes for capacity, BER, and outage probability estimations for NOMA communication system

This is course is designed for under and postgraduate students associated to the electronics and communication engineering department. It has eight outlines, each outline discusses the theoretical explanation and the Matlab codes for simulating the figures that obtained through the explanation of the course. This course saves many months of hard work.

What you’ll learn

  • What is meant by NOMA with respect to OMA systems?.
  • What is the achievable rate offered by the NOMA, and OMA systems?.
  • What is the effect of imperfect SIC on the downlink NOMA rate capacity?.
  • What is the effect of the NOMA fixed power allocation on the BER performance?.
  • What is the number of users that NOMA can support?.
  • What is meant by the user paring in NOMA?.
  • How to perform fixed and dynamic power allocation in NOMA?.
  • How to estimate the BER, capacity, and outage probability of NOMA communication system over a Rayleigh fading channel?.

Course Content

  • Introduction –> 1 lecture • 11min.
  • An overview of the NOMA communication systems. –> 1 lecture • 11min.
  • The achievable rate offered by the NOMA, and OMA techniques –> 1 lecture • 44min.
  • The effect of imperfect SIC on the downlink NOMA rate capacity –> 1 lecture • 21min.
  • The effect of the NOMA fixed Power allocation on the BER performance –> 1 lecture • 28min.
  • The number of users that NOMA Can support –> 1 lecture • 45min.
  • The user paring in NOMA –> 1 lecture • 30min.
  • The fixed and dynamic power allocation in NOMA –> 1 lecture • 45min.
  • The estimation of the BER, capacity, and outage Probability of NOMA Comm. system –> 1 lecture • 33min.

5G Communication System Using Matlab

Requirements

  • The Matlab program.

This is course is designed for under and postgraduate students associated to the electronics and communication engineering department. It has eight outlines, each outline discusses the theoretical explanation and the Matlab codes for simulating the figures that obtained through the explanation of the course. This course saves many months of hard work.

Using the Matlab program, you will learn:

1- How to estimate the channel capacity using Shannon formula?

2- How to estimate the achievable rate offered by the uplink/downlink Non-Orthogonal Multiple Access (NOMA), and Orthogonal Multiple Access (OMA) techniques?

3- How to study the effect of imperfect Successive Interference Cancellation (SIC) on the downlink NOMA rate capacity?

4- How to study the effect of the NOMA Fixed Power Allocation (FPA) on the Bit-Error-Rate (BER) performance?

5- What is the number of users that NOMA can support with respect to OMA technique?

6- What is meant by user paring in NOMA, and how to perform user paring?

7- How to perform the fixed and dynamic power allocation in NOMA, and how to validate its performance?

8- How to estimate to the BER performance of NOMA communication system over a Rayleigh fading channel?

9- How to estimate to the achievable capacity of NOMA communication system over a Rayleigh fading channel?

10- How to estimate to the outage Probability of NOMA communication system over a Rayleigh fading channel?