Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/137214


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)
Authors: 姜國輝
Chiang, Johannes K.
Chiang, Yi-Fang
Yen, Eric H.W.
Contributors: 資管系
Keywords: Generation Mobile Networks;IMT-2020;Optimization Algorithm;Simulated Annealing Algorithm;Genetic Algorithm
Date: 2018-10
Issue Date: 2021-09-22 10:21:07 (UTC+8)
Abstract: 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
Data Type: conference
DOI 連結: https://doi.org/10.1109/ICCT.2018.8600197
Appears in Collections:[資訊管理學系] 會議論文

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