| Item type |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2020-12-08 |
| 書誌情報 |
en : IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
巻 6,
号 2,
p. 428-435,
発行日 2020
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| タイトル |
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|
タイトル |
Fine-Grained Management in 5G: DQL Based Intelligent Resource Allocation for Network Function Virtualization in C-RAN |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Intelligent control |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
intelligent networks |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
artificial intelligence |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
management decision-making |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
mobile communication |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
ZHANG, Chaofeng
董, 冕雄
太田, 香
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| 室蘭工業大学研究者データベースへのリンク |
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|
表示名 |
董 冕雄（DONG Mianxiong） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html |
| 室蘭工業大学研究者データベースへのリンク |
|
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表示名 |
太田 香（OTA Kaoru） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html |
| 抄録 |
|
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内容記述タイプ |
Abstract |
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内容記述 |
Recently, the installation of 5G networks offers a variety of real-time, high-performance and human-oriented customized services. However, the current laying 5G structure is unable to meet all of the growing communication needs by these new emerging services. In this paper, we propose a DQL (Deep Q-learning Network) based intelligent resource management method for 5G architecture, to improve the quality of service (QoS) under limited communication resources. In the environment of network function virtualization (NFV), we aim at improving the efficient usage of spectrum resources. In this two-step solution, our first goal is to guarantee the maximum communication quality with the smallest number of infrastructures. Then, a DQL-based wireless resource allocation algorithm is designed to realize the elaborate operation. Unlike previous studies, our system can provide the allocation policy in a more subdivided way and finally maximize the usage of bandwidth resources. The simulation also shows that our proposed MSIO improves 3.12% in the performance of the maximum coverage importance problem and the ARODQ algorithm improves 4.05% than other standard solutions. |
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言語 |
en |
| 出版者 |
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出版者 |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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言語 |
en |
| 出版者版へのリンク |
|
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表示名 |
10.1109/TCCN.2020.2982886 |
|
URL |
https://doi.org/10.1109/TCCN.2020.2982886 |
| DOI |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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関連識別子 |
10.1109/TCCN.2020.2982886 |
| 日本十進分類法 |
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主題Scheme |
NDC |
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主題 |
007 |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2332-7731 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
|
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
IEEETCCA_6_2_428_435 (1.8 MB)
