University of Oulu

Kokkoniemi, J., Lehtomäki, J., & Juntti, M. (2021). Fundamentals of interference modelling by stochastic geometry in THz networks. In S. Ghafoor, M. H. Rehmani, & A. Davy (Eds.), Next generation wireless terahertz communication networks (pp. 115–132). CRC Press. https://doi.org/10.1201/9781003001140-6

Fundamentals of interference modelling by stochastic geometry in THz networks

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Author: Kokkoniemi, Joonas1; Lehtomäki, Janne1; Juntti, Markku1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2022030321644
Language: English
Published: , 2021
Publish Date: 2022-08-11
Description:

Abstract

The stochastic geometry is a powerful tool to model spatial network-level problems. One such application of the stochastic geometry is to model the interference in wireless communication networks. This chapter gives basics of the stochastic modelling of the interference in high-frequency wireless systems. The specific focus is on the sub-THz and THz communications (0.1–10 THz). These frequencies give opportunity to utilize very high bandwidths that open doors for ultra-high point-to-point systems. High path loss, molecular absorption loss, and very high loss through objects are among the peculiarities affecting the signal propagation. This chapter goes through the basic modelling of the interference level in +100 GHz wireless systems with directional antennas and various channel impairments.

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ISBN: 978-1-00-300114-0 978-0-367-77042-6
ISBN Print: 978-0-367-43072-6
Pages: 115 - 132
DOI: 10.1201/9781003001140-6
OADOI: https://oadoi.org/10.1201/9781003001140-6
Host publication: Next generation wireless terahertz communication networks
Host publication editor: Ghafoor, Saim
Rehmani, Mubashir Husain
Davy, Alan
Type of Publication: A3 Book chapter
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The work of the authors is supported by ARIADNE project under Horizon 2020, European Union's Framework Programme for Research and Innovation, under grant agreement no. 871464. This work was also supported in part by the Academy of Finland 6Genesis Flagship under grant no. 318927.
EU Grant Number: (871464) ARIADNE - Artificial Intelligence Aided D-band Network for 5G Long Term Evolution
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2021 Informa UK Limited. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in Next Generation Wireless Terahertz Communication Networks on 11 August 2021, available online: https://doi.org/10.1201/9781003001140