The Inverse Gamma Distribution: A New Shadowing Model

Seong Ki Yoo, Simon L. Cotton, Lei Zhang, Paschalis C. Sofotasios

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, we provide empirical evidence that the inverse gamma distribution is an excellent alternative for the lognormal and gamma distributions which are often used to model shadowing. To illustrate this, we have used field measurements obtained for wearable communication channels. The goodness-of-fit is compared with two other distributions, namely lognormal and gamma. It has been found that the inverse gamma distribution is chosen as the best model in two out of three cases considered in this study.

Original languageBritish English
Title of host publication2019 8th Asia-Pacific Conference on Antennas and Propagation, APCAP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages475-476
Number of pages2
ISBN (Electronic)9781665400541
DOIs
StatePublished - 4 Aug 2019
Event8th Asia-Pacific Conference on Antennas and Propagation, APCAP 2019 - Incheon, Korea, Republic of
Duration: 4 Aug 20197 Aug 2019

Publication series

Name2019 8th Asia-Pacific Conference on Antennas and Propagation, APCAP 2019

Conference

Conference8th Asia-Pacific Conference on Antennas and Propagation, APCAP 2019
Country/TerritoryKorea, Republic of
CityIncheon
Period4/08/197/08/19

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