
Explore BER estimation for 16, 64, and 256 QAM in Matlab by modifying modulation and demodulation for higher-order schemes, analyzing BER versus SNR with comm.RectangularQAMModulator, Gray coding, and AWGN.
Generate a Rayleigh fading channel with the Jakes model and verify its effect on bit error rate versus SNR, then discuss mitigation with equalizers.
Analyze bit error rate of SISO-OFDM system over a Rayleigh fading channel, including random data, mapping, modulation, cyclic prefix, IFFT/FFT, equalization, and demapping across BPSK, QPSK, 16QAM, 64QAM, and 256QAM.
Explore a Matlab siso-ofdm model over a rayleigh fading channel based on jakes, implementing linear zero-forcing and mmse equalizers with ifft/fft and cyclic prefix, and ber versus snr across mappings.
Simulate and code Nt×Nr MIMO-OFDM system over a Rayleigh fading channel using Jakes models, FFT/IFFT, cyclic prefix, and a linear minimum mean square error equalizer for BER vs SNR.
Explore non-orthogonal multiple access in 5G systems with power-domain multiplexing and successive interference cancellation, and assess bit error rate versus snr under Rayleigh fading with bpsk and lmmse.
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.