University of Oulu

Joonas Kokkoniemi and Markku Juntti. 2021. Channel modeling for reflective phased array type RISs in mmWave networks. In Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (mmNets '21). Association for Computing Machinery, New York, NY, USA, 31–36. DOI:https://doi.org/10.1145/3477081.3481675

Channel modeling for reflective phased array type RISs in mmWave networks

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Author: Kokkoniemi, Joonas1; Juntti, Markku1
Organizations: 1Centre for Wireless Communications, University of Oulu P.O. Box 4500, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022030221484
Language: English
Published: Association for Computing Machinery, 2021
Publish Date: 2022-03-02
Description:

Abstract

This paper presents and overview, challenges and some recent results on channel modeling of the phased array type reconfigurable intelligent surfaces (RISs) in the millimeter Wave band (mmWave, 30‐300 GHz) networks. The RISs have been under intense investigation lately for their ability to provide control on the mmWave sparse channels. This has been shown to improve the coverage and signal power levels in environments where line-of-sight (LoS) paths cannot be guaranteed. The gain properties of RISs in LoS channels are analyzed with respect to carrier frequency and the size of the RIS. It is shown that the RISs provide the best gain compared to LoS links at lower frequencies due to the larger RIS sizes for a fixed number of antenna elements. On the other hand, high gain RISs tend to push the near field far away from the array in the low frequencies. These observations mean that different parts of the mmWave band have advantages and disadvantages when utilizing RIS assisted channels.

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ISBN: 978-1-4503-8699-9
Pages: 31 - 36
DOI: 10.1145/3477081.3481675
OADOI: https://oadoi.org/10.1145/3477081.3481675
Host publication: 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems, mmNets 2021, Part of ACM MobiCom 202
Conference: ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems
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 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: © 2022 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (mmNets '21), http://dx.doi.org/10.1145/3477081.3481675.