上行單輸入多輸出之非正交多重接取系統下使用者選擇與功率配置方法

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姓名

陳語欣(Yu-Hsin Chen) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

上行單輸入多輸出之非正交多重接取系統下使用者選擇與功率配置方法
(User Selection and Power Allocation Methods for SIMO-NOMA Systems on Uplink)

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摘要(中)

近年來，非正交多重接取系統被視為第五代行動通訊的重要技術。在本篇論文中，我們設計了一個結合多天線的非正交多重接取系統去提升上行傳輸中的總通道容量，其中假設在基地台端有 N 根天線並利用連續干擾消除，使之可以在相同的頻譜資源下，同時服務 2”N” 個使用者端設備。由於多個用戶復用相同頻率區塊，導致使用者端設備彼此互相干擾，所以我們研究出使用者組別的選擇方法和次佳的功率控制，用以消除使用者端設備間的干擾，及在最低目標通道容量的限制下去最大化總通道容量。在使用者組別的選擇方法中，第一步驟為去比較我們設計的參數大小，此參數用來平衡會影響總通道容量因素，以達到最佳的使用者組別選擇。接著，使用功率控制參數去做次佳的功率控制，在這篇論文中，我們整理出四種情況的功率控制參數值。最後模擬結果顯示提出的方法可以明顯提升系統的總通道容量。

摘要(英)

Non-orthogonal multiple access (NOMA) has recently been considered as a key technique for 5G cellular systems. In this thesis, we develop a NOMA system equipped with multi-antenna to enhance the sum capacity of uplink. It is proposed that the base station (BS) with N antenna supports 2”N” user equipment (UEs) in the same spectrum resource simultaneously, and successive interference cancellation (SIC) is applied at the BS. Because the multiplexing of multiple users within the same frequency block leads to the interference between UEs, we investigate a set selection algorithm and a suboptimal power control to mitigate the interference and to maximize the sum capacity under minimum target rate. The set selection algorithm is firstly applied by comparing the ratio which balances the causes effecting the sum capacity. Second, the suboptimal power control is utilized by power control factors which can be sorted into four conditions. The simulation results show that the proposed schemes can significantly improve the sum capacity.

關鍵字(中)

★ 非正交多重接取系統
★ 上行傳輸
★ 多天線系統

關鍵字(英)

★ non-orthogonal multiple access (NOMA)
★ uplink
★ multi-antenna system

論文目次

論文摘要 i
Abstract ii
致謝 iii
Contents iv
List of Figures vii
List of Tables viii
Chapter1. Introduction - 1 -
1.1. NOMA System - 2 -
1.2. Single-Input multiple-output - 3 -
1.3. Zero-Forcing Postcoder - 4 -
1.4. Review of Literature - 5 -
1.5. Organization - 5 -
1.6. List of Abbreviations - 6 -
Chapter2. System Model and Problem Formulation - 7 -
2.1. System Model - 7 -
2.1.2 Received Signal Model - 8 -
2.2. Problem Formulation - 11 -
Chapter3. Set Selection Algorithm and Suboptimal Power Control - 13 -
3.1. Set Selection Algorithm - 13 -
3.2. Suboptimal Power Control - 16 -
Chapter4. Simulation Model and Results - 21 -
4.1. Simulation Model - 21 -
4.2. Simulation Results - 23 -
Chapter5. Analysis of Computational Complexity - 27 -
5.1. Computational Complexity of the Set Selection Algorithm - 27 -
5.2. Computational Complexity of the Optimal power control - 28 -
Chapter6. Conclusion - 29 -
Reference - 30 -
Appendix - 32 -
A. The Derivation of α2,1* and α2,2* - 32 -

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指導教授

陳永芳(Yung-Fang Chen)

審核日期

2017-8-16

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