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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: | open |
| Online Access: | PDF Full Text (PDF, 5.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2022030321644 |
| Language: | English |
| Published: |
Routledge,
2021
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| Publish Date: | 2022-08-11 |
| Description: |
AbstractThe 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. see all
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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 |