A unified fading model using generalized gamma convolutions

Adithya Rajan; Cihan Tepedelenlioglu; Ruochen Zeng

doi:10.1109/WCNC.2017.7925519

A unified fading model using generalized gamma convolutions

Adithya Rajan, Cihan Tepedelenlioglu, Ruochen Zeng

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509041831
DOIs	https://doi.org/10.1109/WCNC.2017.7925519
State	Published - May 10 2017
Event	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States Duration: Mar 19 2017 → Mar 22 2017

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)	1525-3511

Other

Other	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Country/Territory	United States
City	San Francisco
Period	3/19/17 → 3/22/17

ASJC Scopus subject areas

General Engineering

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10.1109/WCNC.2017.7925519

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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 Article 7925519 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2017.7925519

A unified fading model using generalized gamma convolutions. / Rajan, Adithya; Tepedelenlioglu, Cihan; Zeng, Ruochen.
2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7925519 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, United States, 3/19/17. https://doi.org/10.1109/WCNC.2017.7925519

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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.",

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N2 - 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.

AB - 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.

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A unified fading model using generalized gamma convolutions

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