University of Oulu

J. Kokkoniemi and M. Juntti, "Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 567-572, doi: 10.1109/PIMRC50174.2021.9569269

Stochastic geometry based interference analysis of multiuser mmWave networks with RIS

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Author: Kokkoniemi, Joonas1; 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, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021121360189
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-12-13
Description:

Abstract

In this paper, we utilize tools from stochastic geometry to estimate the interference propagation via reconfigurable intelligent surface (RIS) in the millimeter wave (mmWave, 30–300 GHz) band and specifically on the D band (110–170 GHz). The RISs have been of great interest lately to maximize the channel gains in non-line-of-sight (NLOS) communication situations. We derive expressions for stochastic interference level in RIS powered systems and validate those with simulations. It will be shown that the interference levels via RIS link are rather small compared to the designed RIS link or the LOS interference as the random interference loses significant part of the RIS gain. We also analyse the validity of far field channel and antenna gains in the near field of a large array. It is shown that, while the high frequency systems require large arrays that push the far field far away from the antenna, the far field equations are very accurate up to about half way of the near field.

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Series: IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
ISSN: 2166-9570
ISSN-E: 2166-9589
ISSN-L: 2166-9570
ISBN: 978-1-7281-7586-7
ISBN Print: 978-1-7281-7587-4
Pages: 567 - 572
DOI: 10.1109/PIMRC50174.2021.9569269
OADOI: https://oadoi.org/10.1109/PIMRC50174.2021.9569269
Host publication: IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Conference: IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported by the Horizon 2020, European Union’s Framework Programme for Research and Innovation, under grant agreement no. 871464 (ARIADNE). It was also supported in part by the Academy of Finland 6Genesis Flag-ship 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)
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