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The Complete Matlab Course for Wireless Comm. Engineering

Name: The Complete Matlab Course for Wireless Comm. Engineering
Rating: 4.4 (137 reviews)

A step by step the Matlab codes for BER/CFO/PAPR estimations of different Comm. systems like OFDM and NOMA Comm. systems

Created byDr. Khaled Ramadan

Last updated 6/2021

English

What you'll learn

How to estimate the Bit-Error-Rate (BER) performance over a Single-Input-Single-Output Orthogonal Frequency Division Multiplexing (SISO-OFDM) communication system based on Fast Fourier Transform (FFT) over an Additive White Gaussian Noise (AWGN) channel using different mapping schemes?
How to generate a Rayleigh fading channel based on the Jakes fading model?
How to estimate the BER performance over a SISO-OFDM communication system based on FFT over a Rayleigh fading channel without equalization procedure?
How to estimate the BER performance over a SISO-OFDM communication system based on FFT over a Rayleigh fading channel with equalization procedure?
Study the Effect of the Carrier Frequency Offset (CFO) problem.
How to estimate the Mean Square Error (MSE) performance for CFO estimation of OFDM communication system based on FFT Using Cyclic Prefix (CP) symmetry property over an AWGN channel and Rayleigh fading channel?
How to estimate the BER performance over a SISO-OFDM communication system based on Discrete Sine Transform (DST) over an AWGN channel using different mapping schemes?
How to estimate the BER performance over a SISO-OFDM communication system based on DST over a Rayleigh fading channel using different equalizers?
How to estimate the BER performance over a SISO-OFDM communication system based on Discrete Cosine Transform (DCT) over an AWGN channel using different mapping schemes?
How to estimate the BER performance over a SISO-OFDM communication system based on DCT over a Rayleigh fading channel using different equalizers?
A comparison between the BER performance of different SISO-OFDM communication systems based on FFT, DST, and DCT over a Rayleigh fading channel.
How to estimate the Peak-to-Average Power Ratio (PAPR) for OFDM communication system based on FFT?
How to estimate the PAPR for OFDM communication system based on DST?
How to estimate the PAPR for OFDM communication system based on DCT?
A comparison between the PAPR of different OFDM communication systems based on FFT, DST, and DCT will be presented.
The concept of a Nt×Nr configuration, where Nt, is the number of transmitting antennas, and Nr is the number of receiving antennas will be presented.
A general code for BER estimation in case of a Nt×Nr configuration for OFDM communication system based on FFT over a Rayleigh fading channel will be presented.
A general code for BER estimation in case of a Nt×Nr configuration for OFDM communication system based on DST over a Rayleigh fading channel will be presented.
A general code for BER estimation in case of a Nt×Nr configuration for OFDM communication system based on DCT over a Rayleigh fading channel will be presented.
The concepts of the Power Domain Multiplexing (PDM), and Successive Interference Cancellation (SIC) of the Non-Orthogonal Multiple Access (NOMA), which used in the 5G communication systems will be presented.
The differences between the interleaved and localized sub-carrier mapping.
How to estimate the BER performance for a FFT pre-coded downlink NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?
How to estimate the BER performance for a DST pre-coded downlink NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?
How to estimate the BER performance for a DCT pre-coded downlink NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?
How to estimate the BER performance for a DST pre-coded downlink NOMA based on DST-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?
How to estimate the BER performance for a DCT pre-coded downlink NOMA based on DCT-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?
How to estimate the PAPR for a FFT pre-coded NOMA based on FFT-OFDM communication system using localized sub-carrier mapping?
How to estimate the PAPR for a DST pre-coded NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping?
How to estimate the PAPR for a DCT pre-coded NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping?
How to estimate the PAPR for a DST pre-coded NOMA based on DST-OFDM communication system using localized/interleaved sub-carrier mapping?
How to estimate the PAPR for a DCT pre-coded NOMA based on DCT-OFDM communication system using localized sub-carrier mapping?

Course content

8 sections • 60 lectures • 5h 0m total length

Introduction8:42
The course outlines

Introduction to outline number 13:28
The BER estimation for a SISO-OFDM Comm. system based on FFT over an AWGN37:00
Estimate bit error rate for a SISO-OFDM system in MATLAB using FFT over an AWGN channel, comparing BPSK, QPSK, 16QAM, 64QAM, and 256QAM with a Monte Carlo simulation.
Introduction to outline No 20:16
Generate a Rayleigh fading channel using the Jakes fading model, and verify the Jakes fading model paper as a foundation for the rest of the course.
Generation of a Rayleigh fading channel based on the Jakes fading model21:24
Introduction to outline number 31:20
Estimation of the BER for a SISO-OFDM over a Rayleigh without equalization4:46
Estimate the ber performance of a siso-ofdm system over a rayleigh fading channel using jakes model and fft, without equalization.
Introduction to outline number 43:30
Estimate the BER performance of a SISO OFDM system over a Rayleigh fading channel using FFT and linear frequency-domain equalizers, including zero-forcing and MMSE schemes.
Estimation of the BER for a SISO-OFDM over a Rayleigh channel with equalization10:30
Explore how linear frequency-domain equalizers improve BER for SISO-OFDM over Rayleigh fading, comparing zero-forcing and MMSE schemes. See fft-based transfer functions and BER simulations across BPSK and QAM mappings.

Introduction to outline No 51:47
Explore how carrier frequency offset from Doppler shifts and oscillator misalignment breaks orthogonality in OFDM, causing inter-carrier interference and BER degradation, illustrated with sub-carrier spectra and normalized offset definitions.
Introduction to outline number 66:12
Estimation of the MSE for normalized CFO over an AWGN/Rayleigh fading channel14:25

Introduction to outline number 71:00
Estimation of the BER of a SISO-OFDM Comm. system based on DST over an AWGN Ch.4:38
Explore estimation of the BER for a SISO-OFDM communication system based on discrete sine transform over an AWGN channel using MATLAB, comparing BER across QAM schemes and SNR values.
Introduction to outline number 83:04
Assess the bit error rate of a siso-ofdm system based on discrete sine transform over a Rayleigh fading channel, using zero-forcing and minimum mean square error equalizers with mapping schemes.
Estimation of the BER of SISO-OFDM Comm. system based on DST over a Rayleigh Ch.10:35
Estimate the BER of a SISO-OFDM system using a DST over a Rayleigh channel, and compare linear zero-forcing and MMSE equalizers in the frequency domain with MATLAB simulations.
Introduction to outline number 91:00
Explore estimating BER performance of a SISO-OFDM system using discrete cosine transform (DCT) over an AWGN channel, comparing different mapping schemes and analyzing BER versus SNR.
Estimation of the BER of a SISO-OFDM Comm. system based on DCT over an AWGN Ch.3:07
Assess the BER performance versus signal-to-noise ratio for a SISO-OFDM system based on discrete cosine transform over an AWGN channel, using Matlab to compare DCT with sine transform and FFT.
Introduction to outline number 102:36
Estimation of the BER of SISO-OFDM Comm. system based on DCT over a Rayleigh Ch.7:29
Estimate the BER of a SISO-OFDM system over a Rayleigh channel using discrete cosine transform in MATLAB, comparing DCT-based OFDM with linear zero-forcing and MMSE equalizers across 64/16 QAM.
Introduction to outline number 111:35
Compare the BER performance of SISO-OFDM systems using FFT with DST and DCT over a Rayleigh fading channel, analyzed with LMMSE and linear zero-forcing equalizers across the signal-to-noise ratio.
Comparison between the BER of SISO-OFDM Comm. system based on FFT/DST/DCT11:42
Compare the bit error rate performance of SISO-OFDM systems using FFT, DST, and DCT under Rayleigh fading, with MMSE and zero-forcing equalizers and various mapping schemes.

Introduction to outline number 122:19
Estimation of the PAPR for OFDM Comm. system based on FFT11:04
Introduction to outline number 130:36
Estimation of the PAPR for OFDM Comm. system based on DST2:26
Introduction to outline number 140:34
Estimate the PAPR of an OFDM system using a discrete cosine transform and analyze how the complementary cumulative distribution function relates to peak-to-average power ratio across sub-carrier counts.
Estimation of the PAPR for OFDM Comm. system based on DCT2:09
The lecture explains estimating the papr of an ofdm system using a discrete cosine transform instead of the discrete sine transform, with matlab code for n=256, 128, 64.
Introduction to outline number 150:35
Compare the PAPR of different OFDM systems based on FFT, DST, and DCT transforms, and examine the complementary community distribution function versus PAPR across varying sub-carrier counts.
Comparison between the PAPR for OFDM Comm. system based on FFT, DST, and DCT3:38
Compare the PAPR of an OFDM system using the fast Fourier transform, discrete sine transform, and discrete cosine transform, noting that the latter two yield higher PAPR than the FFT.

Introduction to outline number 16, the concept of a Nt×Nr configuration1:42
Explore Nt by Nr MIMO in an OFDM system under Rayleigh fading. Learn Y = H X + N and y = h * x + n.
Introduction to outline number 171:40
Outline number 17 introduces a general BER estimation code for Nt×Nr OFDM over a Rayleigh fading channel, using FFT with MMSE equalization across SISO, SIMO, MISO, and MIMO configurations.
Proposal of BER estimation code for a Nt×Nr configuration of OFDM based on FFT19:44
Explore a nt×nr ofdm system with fft-based ber estimation code over a Rayleigh fading channel, extending siso to mimo configurations using lmse equalization and bpsk.
Introduction to outline number 181:17
Present a general BER estimation code for Nt×Nr OFDM systems with discrete sine transform over a Rayleigh channel, detailing transmitter and receiver with frequency-domain equalizers.
Proposal of BER estimation code for a Nt×Nr configuration of OFDM based on DST7:55
Estimate BER for an OFDM system using discrete sine transform across Nt×Nr configurations, from SISO to 3×3 MIMO, under Rayleigh fading with BPSK mapping and LMMSE or zero-forcing equalizers.
Introduction to outline number 191:13
Proposal of BER estimation code for a Nt×Nr configuration of OFDM based on DCT4:42
Explore ber estimation code for Nt×Nr ofdm configurations using discrete cosine transform over Rayleigh fading channels and evaluate ber versus snr with siso, simo, miso, mimo setups.

Introduction to outline numbers 20, and 210:22
Explore power domain multiplexing and successive interference cancellation in non-orthogonal multiple access for 5G systems. Compare interleaved and localized sub-carrier mapping.
The concepts of PDM and SIC for 5G communication system2:55
The localized and interleaved sub-carrier mapping1:38
Introduction to outline number 222:35
Learn to estimate the ber performance of a fft-precoded downlink noma over a rayleigh fading channel using localized and interleaved sub-carrier mapping, with two-user power allocation and successive interference cancellation.
Estimation of the BER of a FFT pre-coded downlink NOMA based on FFT-OFDM24:09
Explore BER estimation for a FFT-OFDM downlink NOMA system with pre-coded transmission, featuring localized and interleaved mapping and equalization for fading channels.
Introduction to outline number 232:00
Explore the BER performance estimation for a discrete sine transform precoded downlink NOMA with FFT-OFDM over a Rayleigh channel, including sub-carrier mapping, precoding, IFFT/FFT, CP, SISO reception, SIC, and demapping.
Estimation of the BER of a DST pre-coded downlink NOMA based on FFT-OFDM4:55
Develop MATLAB code to estimate BER for a discrete sine transform and FFT-OFDM based downlink NOMA system on a 6-tap Jakes Rayleigh channel, using interleaved sub-carrier mapping with MMSE equalization.
Introduction to outline number 241:43
Estimate the BER performance of a discrete cosine transform precoded downlink NOMA system based on FFT-OFDM with localized interleaved sub-carrier mapping over a Rayleigh fading channel.
Estimation of the BER of a DCT pre-coded downlink NOMA based on FFT-OFDM3:26
Estimate the ber of a downlink noma system using fft-ofdm with discrete cosine transform precoding, comparing localized and interleaved sub-carrier mapping under rayleigh fading with an mmse equalizer.
Introduction to outline number 252:12
Estimate the BER performance of a discrete sine transform precoded downlink NOMA using DST-OFDM over a Rayleigh fading channel, with interleaved sub-carrier mapping, cyclic prefix, and successive interference cancellation.
Estimation of the BER of a DST pre-coded downlink NOMA based on DST-OFDM6:53
Develop MATLAB code to estimate the BER of a discrete sine transform precoded downlink NOMA system using DST-OFDM with localized and interleaved sub-carrier mapping over a 6-tap Rayleigh fading channel.
Introduction to outline number 262:39
Examine the BER performance of a discrete cosine transform precoded downlink NOMA in a DCT-OFDM system with localized and interleaved sub-carrier mapping over a Rayleigh fading channel.
Estimation of the BER of a DCT pre-coded downlink NOMA based on DCT-OFDM7:33
Develop a Matlab-based BER estimation for a DCT-precoded downlink NOMA system using DCT-OFDM, with localized and interleaved sub-carrier mapping over a 6-tap Rayleigh fading channel based on the Jakes model.

Introduction to outline number 270:37
Learn to estimate the complementary cumulative distribution function versus PAPR for a FFT precoded NOMA-based OFDM system with localized sub-carrier mapping, and simulate for alternative mappings.
Estimation of the PAPR for a FFT pre-coded NOMA based on FFT-OFDM4:30
Introduction to outline number 280:35
Explore how to estimate PAPR for a discrete sine transform (dst) precoded NOMA based on FFT-OFDM with localized and interleaved sub-carrier mapping, and analyze complementary cumulated distribution function versus PAPR.
Estimation of the PAPR for a DST pre-coded NOMA based on FFT-OFDM2:27
Develop a MATLAB PAPR estimator for a discrete sine transform precoded NOMA system based on FFT-OFDM, highlighting localized sub-carrier mapping and interleaved schemes.
Introduction to outline number 290:35
Estimation of the PAPR for a DCT pre-coded NOMA based on FFT-OFDM1:53
Estimate papr for discrete cosine transform precoded noma using fft-ofdm in matlab, with code implementation, running, and saving figures.
Introduction to outline number 300:34
Estimate the peak-to-average power ratio for a discrete sine transform precoded NOMA based on a discrete sine transform ofdm system with localized and interleaved sub-carrier mapping, presenting CCDF versus PAPR.
Estimation of the PAPR for a DST pre-coded NOMA based on DST-OFDM2:01
Explore MATLAB coding for PAPR estimation in discrete sine transform precoded NOMA using DST-OFDM. Implement DST and inverse DST, apply localized sub-carrier mapping with BPSK, and visualize results.
Introduction to outline number 310:50
Estimation of the PAPR for a DCT pre-coded NOMA based on DCT-OFDM1:28

Requirements

Matlab Program

Description

This is course is designed for under and postgraduate students associated to the electronics and communication engineering department. It has 31 introductions , 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 over a Single-Input-Single-Output Orthogonal Frequency Division Multiplexing (SISO-OFDM) communication system based on Fast Fourier Transform (FFT) over an Additive White Gaussian Noise (AWGN) channel using different mapping schemes?

2-How to generate a Rayleigh fading channel based on the Jakes fading model?

3-How to estimate the BER performance over a SISO-OFDM communication system based on FFT over a Rayleigh fading channel without equalization procedure?

4-How to estimate the BER performance over a SISO-OFDM communication system based on FFT over a Rayleigh fading channel with equalization procedure?

5-Study the Effect of the Carrier Frequency Offset (CFO) problem.

6-How to estimate the Mean Square Error (MSE) performance for CFO estimation of OFDM communication system based on FFT Using Cyclic Prefix (CP) symmetry property over an AWGN channel and Rayleigh fading channel?

7-How to estimate the BER performance over a SISO-OFDM communication system based on Discrete Sine Transform (DST) over an AWGN channel using different mapping schemes?

8-How to estimate the BER performance over a SISO-OFDM communication system based on DST over a Rayleigh fading channel using different equalizers?

9-How to estimate the BER performance over a SISO-OFDM communication system based on Discrete Cosine Transform (DCT) over an AWGN channel using different mapping schemes?

10-How to estimate the BER performance over a SISO-OFDM communication system based on DCT over a Rayleigh fading channel using different equalizers?

11-How to estimate the Peak-to-Average Power Ratio (PAPR) for OFDM communication system based on FFT?

12-How to estimate the PAPR for OFDM communication system based on DST?

13-How to estimate the PAPR for OFDM communication system based on DCT?

14-Proposal of a general code for BER estimation in case of a Nt×Nr configuration for OFDM communication system based on FFT/DST/DCT over a Rayleigh fading channel will be presented.

15-How to estimate the BER performance for a FFT/DST/DCT pre-coded downlink NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?

16-How to estimate the BER performance for a DST/DCT pre-coded downlink NOMA based on DST/DCT-OFDM communication system, respectively using localized/interleaved sub-carrier mapping over a Rayleigh fading channel?

17-How to estimate the PAPR for a FFT/DST/DCT pre-coded NOMA based on FFT-OFDM communication system using localized/interleaved sub-carrier mapping?

18-How to estimate the PAPR for a DST/DCT pre-coded NOMA based on DST/DCT-OFDM communication system, respectively using localized/interleaved sub-carrier mapping?

Who this course is for:

This is course is designed for under and postgraduate students associated with the electronics and communication engineering department

The Complete Matlab Course for Wireless Comm. Engineering

What you'll learn

Explore related topics

Course content

The complete Matlab course for wireless communication engineering1 lecture • 9min

Estimation of the BER performance of a SISO-OFDM Comm. system based on FFT8 lectures • 1hr 22min

Estimation of the normalized CFO3 lectures • 22min

Estimation of the BER performance of a SISO-OFDM comm. system based on DST/DCT10 lectures • 47min

Estimation of the PAPR for OFDM communication system based on FFT/DST/DCT8 lectures • 23min

Proposal of general code for BER estimation of a Nt×Nr OFDM configuration7 lectures • 38min

Estimation of the BER performance for precoded downlink NOMA13 lectures • 1hr 3min

Estimation of the PAPR for a pre-coded NOMA Comm. system10 lectures • 16min

Requirements

Description

Who this course is for: