The α-Lomax Distribution: A Compound Channel Model

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

5 Scopus citations

Abstract

In this paper, we propose the α-Lomax distribution as a new compound fading channel model. This new distribution generalizes the recently introduced Lomax fading channel model. It is worth noting that the Lomax distribution is a decreasing function, whereas the α-Lomax is unimodal function, offering greater flexibility in modeling wireless fading channels. In particular, we derive closed-form expressions for the probability density function and cumulative distribution function for the instantaneous signal-to-noise ratio (SNR). Additionally, we provide closed-form expressions for several fundamental performance metrics, including outage probability, average bit error rate, and channel capacity. Furthermore, we derive closedform expression for the average block-length error rate in short-packet communications. Moreover, we fit the PDF of the proposed channel model to empirical data obtained from a device-to-device communication system. We also offer simple and accurate approximations for these expressions in the high SNR regime.

Original languageEnglish
Title of host publication2024 IEEE Middle East Conference on Communications and Networking, MECOM 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-88
Number of pages6
ISBN (Electronic)9798350376715
DOIs
StatePublished - 2024
Event2024 IEEE Middle East Conference on Communications and Networking, MECOM 2024 - Abu Dhabi, United Arab Emirates
Duration: 17 Nov 202420 Nov 2024

Publication series

Name2024 IEEE Middle East Conference on Communications and Networking, MECOM 2024

Conference

Conference2024 IEEE Middle East Conference on Communications and Networking, MECOM 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period17/11/2420/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Compound fading
  • Gamma distribution
  • Lomax distribution
  • Rayleigh distribution
  • wireless communications

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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