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研究生: 曾昶瑞
Tseng, Chung-Jui
論文名稱: 蜂巢網路協點傳輸吞吐量改進研究
Study on Throughput Improvement in Coordinated Multipoint Transmission for Cellular Networks
指導教授: 郭文光
Kuo, Wen-Kuang
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 31
中文關鍵詞: 多點協調傳輸資料傳輸率最佳化混合整數非線性規劃
外文關鍵詞: Index Terms-Coordinated Multipoint transmission, Optimization, Data Rate, MINLP
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  • 隨著無線行動裝置及多媒體系統的普及,人們對於網路的需求量越來越大,使得資料傳輸需求量大幅的增加,導致大量的能源消耗。本論文在探討合作式通訊系統資料傳輸率的最佳化與分析,並在有限的資源下得到更高的資料傳輸速率,並得同時顧及能量的消耗,藉由基地台的多點協調傳輸資料,資源的分配運用得更加彈性,不僅提升資料傳輸速率也能達到節省能源的效益。本論文建立的原始網路系統模型為混合整數非線性規劃問題(MINLP),經由 piecewise-RLT 及簡化對數項目來進行線性放鬆,將其轉化為混合整數線性規劃問題(MILP),最後再由 CPLEX 進行分枝切割法(Branch and cut)模擬並求得最佳解。

    With the popularity of wireless mobile devices and multimedia systems, the demand for networks is increasing, which has led leading to a significant
    increase in the demand for data transmission, resulting in a large amount of energy consumption. The aim of this study is to optimize and analyze the data transmission rate of the cooperative communication system, and to
    obtains a higher data transmission rate under limited resources. The coordinated multipoint transmission system makes the resource allocation is more flexible. Not only the data transfer rate can be increased but energy-saving benefits can also be achieved. The original network system model established in this paper is a mixed integer nonlinear programming problem (MINLP), which is linearly relaxed through piecewise-RLT and simplified logarithmic items. It is transformed into mixed integer linear programming problem (MILP). Finally, we use CPLEX to perform a Branch and Cutsimulation and find the optimal solution.

    第一章 緒論 ............................................1 1.1 研究動機與目的 ......................................1 1.2 論文架構 ............................................2 第二章 合作式通訊系統架構與數學模型 .......................3 2.1 系統模型 ............................................3 2.2 數學模型 ............................................4 2.2.1 決策目標 ..........................................4 2.2.2 系統連線限制條件 ..................................4 2.2.3 系統功率限制條件 ..................................5 2.2.4 系統限制條件 ......................................6 2.2.5 模型總結 ..........................................8 第三章 簡化模型與求解程序 ................................9 3.1 Piecewise-RLT ......................................9 3.2 簡化對數項目 .......................................13 3.3 模型總結 ...........................................15 3.4 IBM ILOG CPLEX ....................................18 3.3.1 分支定界法 .......................................18 3.3.2 切割平面法 .......................................18 第四章 模擬結果 ........................................20 4.1 參數設定 ...........................................20 4.2 環境設定 ...........................................21 4.3 模擬結果 ...........................................22 4.3.1 固定合作式 USER,增加非合作式 USER 的實驗 ..........22 4.3.2 固定非合作式 USER,增加合作式 USER 的實驗 ..........25 4.4 結果分析 ...........................................28 第五章 總結 ............................................29 參考文獻 ...............................................30

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    [10] W. K. Kuo and C. T. Hsu, "Study on Energy Conservation for Cellular Systems: A Global Optimization Approach," in IEEE Systems Journal, vol. 12, no. 1, pp. 627-638, March 2018.
    [11] B. Bangerter, S. Talwar, R. Arefi and K. Stewart, "Networks and devices for the 5G era," in IEEE Communications Magazine, vol. 52, no. 2, pp. 90-96, February 2014.

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