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link-level communications systems simulation and analysis examples

simulate link-level models of communications systems. use bit error rate simulations to analyze system response to the noise and interference inherent in communication channels, explore hypothetical scenarios, and evaluate the tradeoffs between competing system architectures and parameters. the physical layer (phy) processing chain prepares data received from the higher layers for transmission and recovers transmitted data before passing it to the higher layers.

examples presented in this section demonstrate signal transmission, signal impairment signal by the radio and propagation channel, signal reception, data recovery, and analysis of link performance.

featured examples

rf satellite link

simulate a satellite link that models amplifier impairments by using a memoryless nonlinearity block.

introduction to mimo systems

model multiple-input-multiple-output (mimo) systems that use multiple antennas at the transmitter and receiver ends of a wireless communication system.

end to end system simulation acceleration using gpus

a comparison of four techniques which can be used to accelerate bit error rate (ber) simulations using system objects in the matlab® communications toolbox™ software. a small system, based on convolutional coding, illustrates the effect of code generation using the matlab® coder™ product, parallel loop execution using parfor in the parallel computing toolbox™ product, a combination of code generation and parfor, and gpu-based system objects.

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featured examples

rf satellite link

introduction to mimo systems

end to end system simulation acceleration using gpus

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