• 沒有找到結果。

第五章 結論與未來展望

第二節 未來展望

Algorithm)、粒子群最佳化演算法 (Particle Swarm Optimization) 等其他最佳化演算法,甚至可 以在模擬退火法的部分,加入波茲曼機器 (Boltzmann Machine) 進行最佳化計算,或許會得到 其他不同之結果。

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最後,目前5G 之相關標準許多都尚未訂定,必須等到國際電信聯盟在 2019 年的國際無 線電通信大會 (WRC-19),才會決定大部分標準和設備等,因此,本論文撰寫僅能以現今有 的資料,以作者認為最為恰當、並且可在未來續用之模式處理,取得最佳化之結果。在將 來,可能因為國際電信聯盟針對 5G 的規範有所變更而造成某些數據的失真,但本研究之大 架構仍可繼續沿用於新規範中,並且以同樣之模式取得最佳化結果。希望可以以此作為2020 年5G 在台灣蓬勃發展的一個好的根基或參考來源。

上網日期:2018 年 3 月 9 日,檢自:http://www.cht.com.tw/aboutus/messages/msg-171115-153156.html。 自: http://statdb.dgbas.gov.tw/pxweb/Dialog/varval.asp?ma=PR0101A1M&ti=%AE%F8%B 6O%AA%CC%AA%AB%BB%F9%B0%F2%A5%BB%A4%C0%C3%FE%AB%FC%BC%

C6-%A4%EB&path=../PXfile/PriceStatistics/&lang=9&strList=L。

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