The recent progress in terahertz channel characterization and system design
Title: | The recent progress in terahertz channel characterization and system design |
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Authors: | Alexander S. Shurakov, Evgeny V. Mokrov, Anatoliy N. Prikhodko, Margarita I. Ershova, Vyacheslav O. Begishev, Abdukodir A. Khakimov, Yevgeny A. Koucheryavy, Gregory N. Gol’tsman |
Source: | Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 2, Pp 181-201 (2024) |
Publisher Information: | Peoples’ Friendship University of Russia (RUDN University), 2024. |
Publication Year: | 2024 |
Collection: | LCC:Electronic computers. Computer science |
Subject Terms: | terahertz band, 6g, dynamic blockage, micromobility, experiment, coherent communication, direct conversion, reconfigurable intelligent surface, Electronic computers. Computer science, QA75.5-76.95 |
More Details: | As the standardization of 5G New Radio (NR) systems operating in micro- and millimeter-wave frequency bands is over, scientific and industrial communities have begun to address the question of what 6G communications systems might or should be. While technological specifics are still in their early development phase, there is a common agreement that these systems will utilize the lower part of the terahertz band, namely, 100-300 GHz. This band poses a number of specific challenges for system designers, including the effects related to channel characteristics and the conceptually new requirements for electronics. This paper aims to report the current state-of-the-art channel characterization and communications system design. With respect to the former, we consider dynamic human body blockages and micromobility impairments. For the latter, we mainly concentrate on the physical layer devices for direct conversion schemes and the design of the so-called reconfigurable intelligent surfaces that will potentially serve as a cost-efficient blockage mitigation technique. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2658-4670 2658-7149 |
Relation: | https://journals.rudn.ru/miph/article/viewFile/41387/24014; https://doaj.org/toc/2658-4670; https://doaj.org/toc/2658-7149 |
DOI: | 10.22363/2658-4670-2024-32-2-181-201 |
Access URL: | https://doaj.org/article/ccc14faacb8c47d8aed9fb3a1319c7fd |
Accession Number: | edsdoj.14faacb8c47d8aed9fb3a1319c7fd |
Database: | Directory of Open Access Journals |
ISSN: | 26584670 26587149 |
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DOI: | 10.22363/2658-4670-2024-32-2-181-201 |
Published in: | Discrete and Continuous Models and Applied Computational Science |
Language: | English |