Publications-Proceedings
Article View/Open
Publication Export
Google ScholarTM
NCCU Library
Citation Infomation
Related Publications in TAIR
| Title | Optimization Of Spectrum Auction in 5th Generation Mobile Networks By The Optimization Algorithm The Simulated Annealing Algorithm And Genetic Algorithm For The Spectrum Below 6 GHz(Best Paper) |
| Creator | 姜國輝 Chiang, Johannes K. Chiang, Yi-Fang Yen, Eric H.W. |
| Contributor | 資管系 |
| Key Words | Generation Mobile Networks; IMT-2020; Optimization Algorithm; Simulated Annealing Algorithm; Genetic Algorithm |
| Date | 2018-10 |
| Date Issued | 22-Sep-2021 10:21:07 (UTC+8) |
| Summary | It is now important to prepare spectrum auction for the 5 th Generation Mobile Networks that will start operation in 2020. This paper proposes a novel approach for the optimization for the 5G spectrum. Our ultimate target is to determine the various variables of 5G to optimize the revenue of the spectrum auction by the optimization algorithms. For the optimization, we develop advanced Simulated Annealing Algorithm and Genetic Algorithm. We use the costs and benefits of telecommunication companies as a constraint to achieve the goal of revenue maximization. Finally, this paper shows the optimal results by chart. This study is the first of its kind thus far. |
| Relation | IEEE2018 Proceedings |
| Type | conference |
| DOI | https://doi.org/10.1109/ICCT.2018.8600197 |
| dc.contributor | 資管系 | |
| dc.creator (作者) | 姜國輝 | |
| dc.creator (作者) | Chiang, Johannes K. | |
| dc.creator (作者) | Chiang, Yi-Fang | |
| dc.creator (作者) | Yen, Eric H.W. | |
| dc.date (日期) | 2018-10 | |
| dc.date.accessioned | 22-Sep-2021 10:21:07 (UTC+8) | - |
| dc.date.available | 22-Sep-2021 10:21:07 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Sep-2021 10:21:07 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/137214 | - |
| dc.description.abstract (摘要) | It is now important to prepare spectrum auction for the 5 th Generation Mobile Networks that will start operation in 2020. This paper proposes a novel approach for the optimization for the 5G spectrum. Our ultimate target is to determine the various variables of 5G to optimize the revenue of the spectrum auction by the optimization algorithms. For the optimization, we develop advanced Simulated Annealing Algorithm and Genetic Algorithm. We use the costs and benefits of telecommunication companies as a constraint to achieve the goal of revenue maximization. Finally, this paper shows the optimal results by chart. This study is the first of its kind thus far. | |
| dc.format.extent | 437772 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | IEEE2018 Proceedings | |
| dc.subject (關鍵詞) | Generation Mobile Networks; IMT-2020; Optimization Algorithm; Simulated Annealing Algorithm; Genetic Algorithm | |
| dc.title (題名) | Optimization Of Spectrum Auction in 5th Generation Mobile Networks By The Optimization Algorithm The Simulated Annealing Algorithm And Genetic Algorithm For The Spectrum Below 6 GHz(Best Paper) | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/ICCT.2018.8600197 | |
| dc.doi.uri (DOI) | https://doi.org/10.1109/ICCT.2018.8600197 |