強健型波束成形與資源分配於多用戶無線供電蜂巢式網路之設計與模擬

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姓名

藍曼婷(Man-Ting Lan) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

強健型波束成形與資源分配於多用戶無線供電蜂巢式網路之設計與模擬
(Robust Beamforming and Resource Allocation for Multiuser Wireless-Powered Communications)

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摘要(中)

在本篇論文中，考慮了多輸入單輸出多播系統中的無線能量蜂巢式網路(WPCN)。假設在基地台中不存在通道的完美通道狀態資訊(CSI)，且通道狀態資訊訊息的不確定性由歐幾里德球形不確定性集合建構。為了最佳化下行鏈路的發射功率，下行時透過三角不等式來求得所能獲取的最小能量，而在上行時提出的方法透過統計共變數矩陣的不確定性的分佈，在中斷概率不超過設定的閾值，且滿足使用者所要求的最小服務品質(QoS)，使總下行鏈路發射功率最小化。由於最佳化問題並非凸函數，因此利用半正定放寬技術(SDR)來解決問題。接著會進一步證明，透過半正定放寬技術所求得的解秩為一，這代表透過半正定放寬技術所得到的解和原始的最佳化問題的解是相同的。再來討論在大規模天線系統下，由於通道向量會隨著天線數增加而彼此趨近正交，透過這個特性吾人可以求得趨近最佳化的封閉解。最後由數據證明可顯示出，我們提出的封閉解性能接近於不完美通道狀態資訊的解。

摘要(英)

This paper considers wireless powered communication networks in multiple-input single-output multicasting system. Assuming that perfect channel state information (CSI) for all channels is not available at Base Station, the uncertainty of the CSI is modeled by an Euclidean ball-shaped uncertainty set. To optimize the downlink transmit power, we proposed method uses the knowledge of the statistical distribution of such a covariance uncertainty to minimize the total downlink transmit power under the constraint that the outage probability does not exceed a certain threshold. Due to non-convexity of the problems, we use semidefinite relaxation technique to solve problem. We further show that the solution of the relaxed SDP is always rank one. This indicates that the relaxation is tight and we can get the optimal solution for original problem. Due to the asymptotic orthogonality of the channel vectors when the number of transmit antennas is large, we are able to obtain the closed-form asymptotically optimal solutions. Numerical results show that the asymptotic performance of the proposed scheme is close to ideal case with Imperfect CSI.

關鍵字(中)

★ 無線能量蜂巢式網路
★ 能量採集
★ 波束成形
★ 功率配置
★ 中斷概率
★ 大規模多輸入多輸出
★ 漸近分析

關鍵字(英)

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
第一章緒論 1
1.1研究背景與動機 1
1.2文獻探討 4
第二章系統模型介紹 7
2.1能量採集模型 7
2.2通道估測模型介紹 8
第三章系統架構與最佳化設計 10
3.1 系統模型 11
3.2 完美通道狀態資訊 13
3.3 不完美通道狀態資訊 14
3.3.1 下行能量傳輸 15
3.3.2 上行資料傳輸 15
3.3.3 時間分配(Time allocate) 18
3.3.4 秩數(rank) 18
第四章大規模天線之最佳漸近解 20
4.1 大規模天線漸近分析 20
4.2 下行能量傳輸 20
4.3 上行資料傳輸 21
4.4 最佳化問題 21
第五章模擬結果 25
5.1 時間分配與能量分佈分析 25
5.2 天線數與中斷概率分析 27
5.3 傳輸能量與傳輸率分析 28
5.4 天線數與傳輸功率分析 29
5.5 大規模天線數漸近解分析 30
5.6 時間分配分析 31
第六章結論 33
參考文獻 34
附錄 38
附錄A 38
附錄B 39
附錄C 41
附錄D 43

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指導教授

古孟霖(Meng-Lin Ku)

審核日期

2017-8-18

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