Cited 2 time in
IEEE ACCESS SPECIAL SECTION EDITORIAL: COMMUNICATIONS IN HARSH ENVIRONMENTS
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liang, Qilian | - |
| dc.contributor.author | Durrani, Tariq S. | - |
| dc.contributor.author | Wang, Xin | - |
| dc.contributor.author | Wang, Wei | - |
| dc.contributor.author | Koh, Jinhwan | - |
| dc.contributor.author | Wu, Qiong | - |
| dc.date.accessioned | 2022-12-26T12:04:09Z | - |
| dc.date.available | 2022-12-26T12:04:09Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.issn | 2169-3536 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/5753 | - |
| dc.description.abstract | Communication systems deployed in harsh environments, such as high-speed trains, subways, deserts, trenches, forests, and underground mines, 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 communication, fiber-optic communications, satellite communication, or signal processing techniques that can perform under extreme conditions and meet the QoS, security, and reliability requirements. Quite often, communications in harsh environments have an extremely low signal-to-noise ratio (SNR), high Doppler shift, and long latency, and often consume more power and energy. Bandwidth limitation in harsh environments requires spectrum efficient communications. The current state of art technologies such as massive MIMO, advanced modulation and channel coding, artificial intelligence, and signal processing provide different venues to explore this challenging area. | - |
| dc.format.extent | 7 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
| dc.title | IEEE ACCESS SPECIAL SECTION EDITORIAL: COMMUNICATIONS IN HARSH ENVIRONMENTS | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/ACCESS.2021.3077176 | - |
| dc.identifier.scopusid | 2-s2.0-85105848322 | - |
| dc.identifier.wosid | 000649571000001 | - |
| dc.identifier.bibliographicCitation | IEEE ACCESS, v.9, pp 67706 - 67712 | - |
| dc.citation.title | IEEE ACCESS | - |
| dc.citation.volume | 9 | - |
| dc.citation.startPage | 67706 | - |
| dc.citation.endPage | 67712 | - |
| 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, 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+82-55-772-0534
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.
