The Inverse Gamma Distribution: A New Shadowing Model

Seong Ki Yoo, Simon Cotton, Lei Zhang, Paschalis Sofotasios

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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 languageEnglish
Title of host publicationAsia-Pacific Conference on Antennas and Propagation
PublisherIEEE
Pages(In-Press)
Number of pages2
Volume(In-Press)
Publication statusAccepted/In press - 2019
Externally publishedYes
Event8th Asia-Pacific Conference on Antennas and Propagation - Incheon, Korea, Republic of
Duration: 4 Aug 20197 Aug 2019
http://apcap2019.org/

Conference

Conference8th Asia-Pacific Conference on Antennas and Propagation
Abbreviated titleAPCAP 2019
CountryKorea, Republic of
CityIncheon
Period4/08/197/08/19
Internet address

Fingerprint Dive into the research topics of 'The Inverse Gamma Distribution: A New Shadowing Model'. Together they form a unique fingerprint.

Cite this