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研究生: 謝承儒
Hsieh, Cheng-Ru
論文名稱: 合作式系統之接收訊號結合
Cooperative Systems with Combining of Signal Reception
指導教授: 張名先
Chang, Ming-Xian
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: 英文
論文頁數: 36
中文關鍵詞: 合作式通訊通道資訊最小平方差壓縮高斯量化Karhunen-Loève Expansion(KLE)
外文關鍵詞: cooperative communication system, channel state information (CSI), least square fitting, compression, Gaussian quantization, Karhunen-Loève expansion
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  • 在無線通訊領域中,合作式通訊在近幾年受到許多討論,因為在多輸入多輸出系統上,如果使用增加天線來提升系統傳輸量以及降低傳輸錯誤率,會有其困難性存在,因為通訊設備越做越小,要容納那麼多天線,空間可能不足,因此合作式通訊,這種分散式天線設計,解決了這一問題,利用中繼點的幫助,相較於多輸入多輸出系統,能降低硬體設計上的複雜度,並且降低硬體成本。本論文在中繼端是使用解碼後轉傳,並且在接收端研究使用有效的方法把訊號結合起來。在通道估測以及傳遞方面,我們會插入pilot,當作基於Karhunen-Loève Expnsion (KLE)提出的通道估計方法所需要的重建通道響應的係數,並且會利用高斯量化,減少通道係數傳遞的誤差。

    In the field of wireless communication, cooperative communication has many discussion in recent years. On the Multiple-Input Multiple-Output(MIMO) system, you increase the number of antenna to increase channel capacity and reduce bit error rate, there will be difficult, because the communication equipment is getting smaller and smaller, and it needs to accommodate so many antennas, the space may be insufficient. Therefore cooperative communication’s distributed antenna design solves this problem. With the help of relay points, compared with MIMO systems, hardware design complexity can be reduced and hardware costs can be reduced. This thesis uses decode-and-forward at the relay, and studies to use valid methods to combine the signals at the receiving end.In terms of channel estimation and delivery, we will insert pilot as the coefficient of the reconstruction channel response needed, channel estimation method is based on the Karhunen-Loève Expnsion (KLE), and then, we use Gaussian quantization to reduce the error of channel coefficient transmission.

    Chinese Abstract I English Abstract II Acknowledgement IV Contents V List of Tables VII List of Figures VIII Chapter 1 Introduction 1 Chapter 2 Wireless Cooperative Communication 3 2.1 Channel Model 3 2.1.1 Jake’s Rayleigh fading model ............ 3 2.1.2 Multipath Model............ 4 2.2 Cooperative system with OFDM 5 2.3 Transmission scheme 8 Chapter 3 Channel Estimation 11 3.1 Introduction 11 3.2 The Karhunen-Loève Expansion(KLE) of a Random Vector........... 11 3.3 The Karhunen-Loève Expansion of CRs in OFDM System............ 12 3.3.1 Signal model 12 3.3.2 Across subcarrier – Type A(Comb Type) 13 3.3.3 Across time slots – Type B(Block Type) 15 Chapter 4 Combination technique 19 4.1 Introduction …………………………………………………………………19 4.2 Selection Combining (SC) 20 4.3 Maximum Ratio Combining (MRC) 24 Chapter 5 Channel Quantization 28 5.1 Gaussian quantization 28 5.2 Simulation results 31 Chapter 6 Conclusion 34 Bibliography 35

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