Highlights
FADING CHANNEL DESCRIPTION
In this final project, you will develop your fading channel model in Simulink and measure the symbol error rate (SER) and bit error rate (BER) performance of a typical digital communications system over fading channels using the developed model. The model you will develop will be simple but still be useful to characterise some common communications environments. It is important to note that Simulink has built-in fading channel blocks called Rayleigh SISO and Rayleigh MIMO, however you will not use them in this project. Rather, you will develop your own model from first principles.
In the workshops, our main focus was the additive white Gaussian noise (AWGN) as a major channel impairment corrupting transmitted symbols. AWGN channel model is useful to understand transmission dynamics in wireline communications. However, this model cannot describe the random effects frequently observed in wireless digital communications systems. In addition to additive noise, fading is an important source of randomness in wireless communications causing distortion to the transmitted symbols in the form of amplitude scaling and rotation as discussed in the lectures.
You will develop a frequently used fading channel model and data decoding algorithm in this final project.
A common fading model often used to characterise digital communications system performance is the Rayleigh flat fading model. The flat fading is an appropriate model for channel fading when the transmission bandwidth is smaller than the channel coherence bandwidth. The Rayleigh distribution is a good statistical fit for the channel amplitude gains in richly scattering urban environments such as Sydney CBD area. In this channel model, the input-output relationship between transmitted and received symbols is given by a simple relationship, which can be expressed as
Y = H · X + N,
QUESTION 1
The power of fading coefficient H is defined as the expected value of its squared amplitude. Describe how you should generate Hre and Him in Eqn. (2) to have a Rayleigh fading channel model with power σ
QUESTION 2
Modify the 16-QAM AWGN Simulink model you developed in Workshops 3 and 4 to obtain a Rayleigh fading channel model having average power 1 [Watts]. Here, you will need to develop your own Simulink block and integrate it with the 16-QAM AWGN Simulink model to emulate the Rayleigh fading channel environment. Describe your work, approach and logical reasoning behind your model.
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