Copula-Based Interference Models for IoT Wireless Networks

Chris Zheng, Malcolm Egan, Laurent Clavier, Gareth W. Peters, Jean-Marie Gorce

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

12 Citations (Scopus)
67 Downloads (Pure)


As the Internet of Things (IoT) is largely supported by wireless communication networks in unlicensed bands, there has been a proliferation of technologies that use a large variety of protocols. An ongoing challenge is how these networks can coexist given that they have different power levels, symbol periods, and access protocols. In this paper, we study the statistics of interference due to IoT networks that transmit small amounts of data. A key observation is that sets of active devices change rapidly, which leads to impulsive noise channels. Moreover, these devices operate on multiple partially overlapping resource blocks. As such, we characterize the joint distribution and propose a tractable model based on copulas. Using our copula model, we derive closed-form achievable rates. This provides a basis for resource allocation and network design for coexisting IoT networks.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications (ICC)
ISBN (Electronic)9781538680889
Publication statusPublished - 15 Jul 2019
Event53rd IEEE International Conference on Communications 2019 - Shanghai, China
Duration: 20 May 201924 May 2019

Publication series

NameIEEE International Conference on Communications (ICC)
ISSN (Electronic)1938-1883


Conference53rd IEEE International Conference on Communications 2019
Abbreviated titleICC 2019

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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