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
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Publish Date: | 2021-12-13 |
Description: |
AbstractIn 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. see all
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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) |
Copyright information: |
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