A unified fading model using generalized gamma convolutions

Adithya Rajan, Cihan Tepedelenlioglu, Ruochen Zeng

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

2 Scopus citations

Abstract

This paper proposes to unify fading distributions by modeling the magnitude-squared of the instantaneous channel gain using generalized gamma convolutions (GGC). A random variable is said to be GGC, if it can be written as the limit of a sum of independent gamma variables potentially with different parameters. We show that GGC random variables have many useful mathematical properties, that are applied in the performance analysis of wireless systems. The proposed unification subsumes several classes of multipath and shadowing fading distributions previously proposed in the wireless communications literature.

Original languageEnglish (US)
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
Publication statusPublished - May 10 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: Mar 19 2017Mar 22 2017

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period3/19/173/22/17

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rajan, A., Tepedelenlioglu, C., & Zeng, R. (2017). A unified fading model using generalized gamma convolutions. In 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings [7925519] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2017.7925519