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系統識別號 U0026-1908201402161600
論文名稱(中文) 針對多細胞多用戶多天線OFDM系統之下行鏈路利用主成分分析之干擾抑制及資源分配技術
論文名稱(英文) Interference Reduction by PCA and Resource Allocation for the Downlink of Multi-Cell MU-MIMO OFDM Systems
校院名稱 成功大學
系所名稱(中) 電腦與通信工程研究所
系所名稱(英) Institute of Computer & Communication
學年度 102
學期 2
出版年 103
研究生(中文) 吳岱燁
研究生(英文) Tai-Yeh Wu
學號 Q36014332
學位類別 碩士
語文別 中文
論文頁數 49頁
口試委員 指導教授-蘇賜麟
口試委員-林茂昭
口試委員-賴癸江
口試委員-呂忠津
口試委員-蘇育德
中文關鍵字 資源分配技術  子載波分配  預編碼設計  主成分分析 
英文關鍵字 resource allocation  subcarrier allocation  precoding design  principle component analysis(PCA) 
學科別分類
中文摘要 針對多細胞、多用戶、多傳接收天線、多載波系統的下行鏈路,本論文提出一個資源分配(resource allocation)演算法。所設計之演算法藉由子載波分配來提升整體接收功率,並採用預編碼設計來減少用戶間同頻干擾(co-channel interference, CCI)以確保多數用戶達到服務品質保證。本論文在預編碼設計中引入主成分分析(principle component analysis)的概念,將細胞間互干擾(inter-cell interference, ICI)通道矩陣所在的向量空間減降至維度較低之向量空間,以符合預編碼在維度上的限制並同時確保預編碼之干擾消除效果。所提演算法最後並針對不符合服務品質的用戶,在增多通道狀態資訊(channel state information, CSI)下,提出補償方法以達到更全面性的服務品質保證。
英文摘要 In this thesis, a novel resource allocation algorithm is presented for the downlinks of multi-cell multiuser-multiple-input-multiple-output (MU-MIMO) OFDM systems. The proposed scheme raises the overall received power by proper subcarrier allocation and reduces co-channel interference (CCI) among users by robust precoding and aims to support more users with quality of service (QoS) requirements. The proposed algorithm employs the concept of principle component analysis (PCA) in the precoding design. Based on PCA, the dimension of the vector space of the mutual interference channel metrics among neighboring cells can be reduced to meet the dimension constraint imposed by the precoding design. Consequently, the interference reduction effect can be preserved well. Finally, with more CSI (channel state information) information sharing, the proposed algorithm also provides a way to further compensate the users, who do not get enough resource originally, to be satisfied with the requirement of QoS.
論文目次 摘要 2
英文延伸摘要 3
目錄 10
表目錄 11
圖目錄 12
第一章 序論 13
1.1 研究背景與動機 13
1.2 論文章節組織 15
第二章 系統架構 16
第三章 相關技術簡介 19
3.1 SLNR (Signal-to-Leakage-plus-Noise Ratio) 預編碼 19
3.2 BD (Block Diagonalization) 預編碼 20
3.3 主成分分析(Principle Component Analysis, PCA) 23
第四章 提出的演算法 27
4.1 步驟一:用戶之子載波分配 28
4.2 步驟二:預編碼的干擾處理 35
4.3 步驟三:增多通道狀態資訊下的補償機制 36
第五章 模擬結果與討論 37
5.1 參數設定 37
5.2 模擬結果與討論 37
第六章 結論 46
第七章 參考文獻 47
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[19] L. Jin , X. Gu and Z. Hu, “Low-complexity scheduling strategy for wireless multiuser multiple-input multiple-output downlink system”, IET Commun., vol. 5, no. 7, pp.990-995, 2011
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[22] J. Edward Jackson, “A User's Guide to Principal Components”, 2003
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