Cited 0 time in
NETWORKS IN HARSH ENVIRONMENTS
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jiang, Qilian | - |
| dc.contributor.author | Durrani, Tariq S. | - |
| dc.contributor.author | Liang, Jing | - |
| dc.contributor.author | Wang, Xin | - |
| dc.contributor.author | Koh, Jinhwan | - |
| dc.contributor.author | Xiao, Shu | - |
| dc.date.accessioned | 2023-01-03T02:18:02Z | - |
| dc.date.available | 2023-01-03T02:18:02Z | - |
| dc.date.issued | 2022-07 | - |
| dc.identifier.issn | 0890-8044 | - |
| dc.identifier.issn | 1558-156X | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/29781 | - |
| dc.description.abstract | Networks deployed in harsh environments, such as high-speed trains, subways, deserts, trenches, forests, and underground mining, should be specially constructed to withstand extreme conditions such as high or low temperatures, corrosive humidity, extreme weather or excessive dust and dirt. Such applications require specially designed wireless networks, sensor networks, fiber optic networks, or satellite networks that can perform under extreme conditions and meet the quality of service (QoS), security, and reliability requirement. Quite often, networks in harsh environments have extremely low signal-to-noise ratio (SNR), high Doppler shift, and long latency, and often consumes more power and energy. Bandwidth limitation in harsh environments requires spectrum-efficient communications. The current state-of-the-art technologies such as edge computing, massive multiple-input multiple-output (MIMO), advanced modulation and channel coding, artificial intelligence, and signal processing provide different venues to explore this challenging area. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.title | NETWORKS IN HARSH ENVIRONMENTS | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/MNET.2022.9919785 | - |
| dc.identifier.scopusid | 2-s2.0-85141145989 | - |
| dc.identifier.wosid | 000870302200009 | - |
| dc.identifier.bibliographicCitation | IEEE Network, v.36, no.4, pp 8 - 9 | - |
| dc.citation.title | IEEE Network | - |
| dc.citation.volume | 36 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 8 | - |
| dc.citation.endPage | 9 | - |
| dc.type.docType | Editorial Material | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Telecommunications | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Telecommunications | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
