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

Abstract

As the Internet of Things (IoT) is largely supported by wireless communication networks in unlicensed bands, there has been a proliferation of technologies that uses 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.
LanguageEnglish
Title of host publication2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium
PublisherIEEE
Number of pages8
Publication statusAccepted/In press - 8 Feb 2019
Event53rd IEEE International Conference on Communications 2019 - Shanghai, China
Duration: 20 May 201924 May 2019

Conference

Conference53rd IEEE International Conference on Communications 2019
Abbreviated titleICC 2019
CountryChina
CityShanghai
Period20/05/1924/05/19

Fingerprint

Wireless networks
Network protocols
Impulse noise
Resource allocation
Telecommunication networks
Statistics
Internet of things

Cite this

Zheng, C., Egan, M., Clavier, L., Peters, G. W., & Gorce, J-M. (Accepted/In press). Copula-Based Interference Models for IoT Wireless Networks. In 2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium IEEE.
Zheng, Chris ; Egan, Malcolm ; Clavier, Laurent ; Peters, Gareth W. ; Gorce, Jean-Marie. / Copula-Based Interference Models for IoT Wireless Networks. 2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium. IEEE, 2019.
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abstract = "As the Internet of Things (IoT) is largely supported by wireless communication networks in unlicensed bands, there has been a proliferation of technologies that uses 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.",
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Zheng, C, Egan, M, Clavier, L, Peters, GW & Gorce, J-M 2019, Copula-Based Interference Models for IoT Wireless Networks. in 2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium. IEEE, 53rd IEEE International Conference on Communications 2019, Shanghai, China, 20/05/19.

Copula-Based Interference Models for IoT Wireless Networks. / Zheng, Chris; Egan, Malcolm; Clavier, Laurent; Peters, Gareth W.; Gorce, Jean-Marie.

2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium. IEEE, 2019.

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

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AU - Peters, Gareth W.

AU - Gorce, Jean-Marie

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AB - As the Internet of Things (IoT) is largely supported by wireless communication networks in unlicensed bands, there has been a proliferation of technologies that uses 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.

M3 - Conference contribution

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Zheng C, Egan M, Clavier L, Peters GW, Gorce J-M. Copula-Based Interference Models for IoT Wireless Networks. In 2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium. IEEE. 2019