Simulation of Mobile Communications

In MATLAB, simulation techniques can be employed to study mobile communication systems. The simulation process typically involves generating communication signals and adding realistic noise components using functions like awgn (Additive White Gaussian Noise). Basic operations include creating standard signals such as sine waves or modulated signals through functions like sin(), cos(), or digital modulation functions (pskmod, qammod). Additionally, various signal processing and analysis operations can be performed, including signal modulation and demodulation using dedicated MATLAB functions (modulate/demodulate), signal filtering through filter design tools (filter, designfilt), and spectral analysis using fft. Through simulation experiments, researchers can gain deeper insights into mobile communication system working principles while evaluating and optimizing system performance metrics like BER (Bit Error Rate) and throughput using analytical tools and visualization functions.