kerin
Newbie level 4
Hi, Friends! I am wondering how to simulate shadow fading.
Refer to document from colorado.edu
"Large-scale variations caused by shadowing of obstacles are shown to follow a log-normal distribution [12][13][14], which means that when measured in dB they follow a Gaussian distribution. Consequently shadowing effects are usually incorporated into path loss estimates by the addition of a zero-mean Gaussian random variable, with standard deviation σ: N(0,σ), were σ is often estimated by empirical measurements. Commonly accepted values for σ are between 6 dB and 12 dB."
Assume we use σ = 10. When we do shadow fading simulation, is it lognrnd(0,10) or normrnd(0,10)?
Thanks for any comments.
Refer to document from colorado.edu
"Large-scale variations caused by shadowing of obstacles are shown to follow a log-normal distribution [12][13][14], which means that when measured in dB they follow a Gaussian distribution. Consequently shadowing effects are usually incorporated into path loss estimates by the addition of a zero-mean Gaussian random variable, with standard deviation σ: N(0,σ), were σ is often estimated by empirical measurements. Commonly accepted values for σ are between 6 dB and 12 dB."
Assume we use σ = 10. When we do shadow fading simulation, is it lognrnd(0,10) or normrnd(0,10)?
Thanks for any comments.
