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    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)
    作者: 姜國輝
    Chiang, Johannes K.
    Chiang, Yi-Fang
    Yen, Eric H.W.
    貢獻者: 資管系
    關鍵詞: Generation Mobile Networks;IMT-2020;Optimization Algorithm;Simulated Annealing Algorithm;Genetic Algorithm
    日期: 2018-10
    上傳時間: 2021-09-22 10:21:07 (UTC+8)
    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.
    關聯: IEEE2018 Proceedings
    資料類型: conference
    DOI 連結: https://doi.org/10.1109/ICCT.2018.8600197
    DOI: 10.1109/ICCT.2018.8600197
    顯示於類別:[資訊管理學系] 會議論文

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