Matlab course for wireless communication engineering
What you'll 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 add a Rayleigh fading channel based on the Jakes model?
- How to mitigate the Rayleigh fading channel effect using different linear equalizer schemes?
- How to estimate the Bit-Error-Rate (BER) performance over Single-Input-Single-Output Orthogonal Frequency Division Multiplexing (SISO-OFDM) communication system over a Rayleigh fading channel?
- How to extend this work for different Multiple-Input-Multiple-Output (MIMO) configurations like 2×2, and 3×3 MIMO-OFDM communication systems over a Rayleigh fading channel?
- A general code for BER estimation in case of Nt×Nr configuration for OFDM communication system over a Rayleigh fading channel will be presented, where Nt, is the number of transmitting antennas, and Nr is the number of receiving antennas.
- Finally, the BER estimation for Non-Orthogonal Multiple Access (NOMA), which used in the 5G communication systems will be presented.
Requirements
- Matlab Program
Description
This is course is designed for under and post graduate students associated to the electronics and communication engineering department. It has 10 introductions of 30 minutes, each introduction discusses the theoretical explanation and the simulated 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 Bit-Error-Rate (BER) performance of different modulation schemes like BPSK, QPSK, 16QAM, 64QAM, and 256QAM over an Additive White Gaussian Noise (AWGN) channel?
2-How to generate and add a Rayleigh fading channel based on the Jakes model?
3-How to mitigate the Rayleigh fading channel effect using different linear equalizer schemes?
4-How to estimate the Bit-Error-Rate (BER) performance over Single-Input-Single-Output Orthogonal Frequency Division Multiplexing (SISO-OFDM) communication system over a Rayleigh fading channel?
5-How to extend this work for different Multiple-Input-Multiple-Output (MIMO) configurations like 2×2, and 3×3 MIMO-OFDM communication systems over a Rayleigh fading channel?
6-A general code for BER estimation in case of Nt×Nr configuration for OFDM communication system over a Rayleigh fading channel will be presented, where Nt, is the number of transmitting antennas, and Nr is the number of receiving antennas.
7-Finally, the BER estimation for Non-Orthogonal Multiple Access (NOMA), which used in the 5G communication systems will be presented.
Who this course is for:
- This is course is designed for under and postgraduate students associated with the electronics and communication engineering department
Instructor
- 4.4 Instructor Rating
- 424 Reviews
- 28,138 Students
- 3 Courses
Dr. Khaled Ramadan Mohamed received the B. Sc. (Honors) degree from the Higher Institute of Engineering (El-Shorouk Academy), in 2011, and received the M. Sc. and Ph. D. degrees from the Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, in 2018, 2021, respectively. Also, he is working as an assistant professor in the communications and computer engineering department at the Higher Institute of Engineering (El-Shorouk Academy) - Egypt. His research areas of interest include multicarrier communication systems, Multiple-Input Multiple-Output (MIMO) systems, Digital Signal Processing (DSP), digital communications, channel equalization, Carrier Frequency Offsets (CFOs) estimations and compensations, Underwater Acoustic (UWA) wireless communication systems, and multicarrier Non Orthogonal Multiple Access (NOMA) for 5G networks.