In this paper we propose a new composite fading model which assumes that the mean signal power of an η - μ signal envelope follows an inverse gamma distribution. The inverse gamma distribution has a simple relationship with the gamma distribution and can be used to model shadowed fading due to its semi heavy-tailed characteristics. To demonstrate the utility of the new η - μ / inverse gamma composite fading model, we investigate the characteristics of the shadowed fading behavior observed in body centric communications channels which are known to be susceptible to shadowing effects, particularly generated by the human body. It is shown that the η - μ / inverse gamma composite fading model provided an excellent fit to the measurement data. Moreover, using Kullback-Leibler divergence, the η - μ / inverse gamma composite fading model was found to provide a better fit to the measured data than the k - μ / inverse gamma composite fading model, for the communication scenarios considered here.
|Title of host publication||2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)|
|Number of pages||5|
|Publication status||Published - 3 Dec 2015|
|Event||26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications - Hong Kong, China|
Duration: 30 Aug 2015 → 2 Sep 2015
|Conference||26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications|
|Abbreviated title||PIMRC 2015|
|Period||30/08/15 → 2/09/15|
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