為了因應4G無線網路對於頻寬的需求以及目前頻譜資源零碎的窘境，Long Term Evolution–Advanced (LTE-A)引入了載波聚合(Carrier Aggregation)技術，它允許基地台(E-UTRAN NodeB,又簡稱為eNB)將數據透過多個分量載波（Component Carrier,又簡稱為CC）發送到使用者裝置(User Equipment,又簡稱為UE）以獲得較高的throughput。
在LTE-A下行鏈路中，大多數資源分配方法在討論如何分配CC或resource blocks (RBs)，以提高網路的效能或維持UE之間的公平性為目的；然而，很少有研究討論從整體上節約傳輸能源；因此，本論文主要研究在下行鏈路中有效能的做資源分配，我們有三個目標: 1)滿足所有UE的需求(Demand), 2)減少CC配置的數量以及減少非連續CC的聚合, 以及3)最小化基地台的傳輸電量；我們證明此問題為NP-hard，並相較於傳統以貪婪為基礎的解決方案，提出了一個有效的啟發式演算法來判別配置CC給哪一個UE較為恰當；模擬證明我們的演算法能滿足UE的需求，同時降低整體的傳輸功率。

To tackle the dilemma of supporting broadband, high-speed wireless access or utilizing narrow, non-contiguous spectrum resource, Long Term Evolution–Advanced (LTE-A) introduces the carrier aggregation technique. It allows integrating multiple component carriers (CCs) for transmitting data to user equipments (UEs) in higher rates. Most resource allocation methods for LTE-A downlink communication　aim at how to assign CCs or resource blocks to improve network throughput or maintain fairness among UEs. However, how to save the overall transmission energy has not been well studied. Therefore, the paper addresses the downlink resource allocation with energy constraint (DRA-EC) problem by using carrier aggregation with three objectives: 1) satisfying the demands of all UEs, 2) reducing the number of CCs assigned and non-contiguous carrier aggregated, and 3) minimizing the overall transmission power. This problem is NP-hard and an efficient heuristic is developed to achieve the above three objectives. Unlike conventional greedy-based solutions, the proposed DRA-EC heuristic checks the necessity of a CC to other UEs whenever it seeks to assign this CC to a specific UE. Experimental results show that the DRA-EC heuristic can meet the UEs’ demands while reducing the transmission power.

目錄
論文審定書 i
誌謝 ii
摘要 iiI
Abstract iv
目錄 v
圖目錄 vi
表目錄 vii
第一章 導論 1
1.1研究背景簡介 1
1.2研究動機 8
1.3論文架構 9
第二章 相關研究探討 10
2.1 載波分配方法文獻探討 10
2.2 配置RB方法文獻探討 11
第三章 研究目標及方法 12
3.1研究目標 12
3.2問題定義 12
3.3 DRA-EC啟發式演算法 15
第四章 實驗分析 23
4.1網路拓譜 24
4.2模擬結果與數據分析 25
第五章 結論與未來研究方向 34
參考文獻 35

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