A step by step the Matlab codes for BER estimations of different Comm. systems like OFDM and NOMA Comm. systems
Sub Category
- Engineering
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Objectives
- 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.
Pre Requisites
- Matlab Program
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