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研究生:黃奎彰
研究生(外文):Huang, Kuei-Jung
論文名稱:LTE-Advanced系統預編碼矩陣及天線選擇之研究
論文名稱(外文):Precoding Matrix and Antenna Selection of LTE-Advanced System
指導教授:李啟民李啟民引用關係
指導教授(外文):Li, Chi-Min
口試委員:林丁丙湯譯增吳家琪李啟民
口試委員(外文):Lin, Ding-BingTang, I-TsengWu, Jia-ChyiLi, Chi-Min
口試日期:2016-06-08
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:通訊與導航工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:54
中文關鍵詞:雙重碼書預編碼矩陣指示訊號LTE-Advanced多輸入多輸出系統天線選擇
外文關鍵詞:Dual-codebookPrecoding matrix indicator (PMI)LTE-Advanced (LTE-A)Multiple Input Multiple Output (MIMO)Antenna Selection (AS)
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LTE-Advanced(Long Term Evolution-Advanced)是3GPP(3rd Generation Partnership)發展的LTE演進系統,主要提倡符合甚至超越國際電信聯盟IMT-Advanced的規範以建立目前4G通訊標準。為了達到4G規範的傳輸速率,除了增加頻寬外,提升頻譜使用效益也是方法之一,LTE-Advanced所使用的方法為增加多輸入多輸出(Multiple input multiple output, MIMO)的天線數。
LTE-Advanced定義了下行傳輸使用8根天線,其中雙重碼書(Dual-Codebook)包含兩個預編碼矩陣,在通道狀態資訊(Channel State Information, CSI)中的預編碼矩陣指示訊號(Precoding Matrix Indicator, PMI)會回傳兩個數值,可根據目前通道狀況,通知傳送端調整訊號傳送。
MIMO系統中天線數量越多可提高系統的傳輸量及頻譜效益,但相對需要更大的計算複雜度,且針對巨量天線(Massive MIMO),如何選擇出適合的天線組進行傳輸是本文另一探討的議題。
本文將基於雙重碼書(Dual-Codebook)的預編碼矩陣指示訊號(PMI)及天線組選擇,比較分析文獻方法並提出新的方法,其中包含通道容量、錯誤率及運算複雜度,本文最後將利用戶外實測通道進一步比較各選擇法之效益。
本文所提出的預編碼矩陣選擇法與全搜索預編碼矩陣的文獻方法,能夠降低55%與75%的計算複雜度,再整合本文提出之天線選擇法,只需增加3%原有的計算複雜,便能提高其效能。

LTE-Advanced is developed by 3rd Generation Partnership Project (3GPP) to meet the requirements for 4G System of International Telecommunication Union (IUT).With wider bandwidth utilization, spectral improvement and the MIMO adoption , the throughput of the 4G system can be greatly increased.
LTE-Advanced defines eight transmit antennas in downlink, and dual codebooks are adopted. According to current channel state, precoding matrix indicator of channel state information will be returned to inform the transmitter to adjust signal transmission.
However, as the numbers of antenna increase, system hardware and the computation complexity will also be increased in a MIMO system.
In this thesis, several novel methods are proposed to select the dual codebooks for LTE-A System. Besides, low complexity antenna selection techniques are also provided to have the low complexity advantage and still maintain the good BER and capacity performances. It can reduce the 55 percent and 75 percent computation complexity and have the same performance compared with conventional methods.

摘要 I
Abstract II
目錄 III
圖目錄 V
表目錄 VI
第一章 導論 1
1.1背景簡介及研究動機 1
1.2論文大綱 2
第二章 LTE-Advanced系統簡介 3
2.1 LTE-Advanced系統架構 3
2.2雙碼書[2][3] 4
2.2.1 Rank 1-2碼書 5
2.2.2 Rank 3-4碼書 6
2.2.3 Rank 5-8碼書 8
第三章 預編碼矩陣選擇法 11
3.1預編碼矩陣指示訊號(Precoding Matrix Indicator) 11
3.2等效預編碼舉選擇法 11
3.2.1 Maximum Mutual Information Selection[1] 11
3.2.2 Low-Complexity Maximum Mutual Information Selection[5] 12
3.2.3 SVD Based Selection[6] 12
3.2.4 Proposed Maximum SNR Selection 13
3.2.5 效能分析及複雜度統計 14
3.3預編碼矩陣各別選擇法 17
3.3.1 Separately PMI Selection[7] 17
3.3.2 Proposed Fast Fourier Transform Selection 18
3.3.3 Proposed Selection method based on the Trace of Eigenvalue 23
3.3.4效能分析及複雜度統計 24
3.4整體效能分析 27
第四章 天線選擇 29
4.1系統架構 29
4.2天線選擇法 30
4.2.1訊號模型 30
4.2.2 Norm Based Selection[9] 30
4.2.3 Wang’s Algorithm[10] 31
4.2.4 Correlation based Selection[11] 32
4.2.5 Uncorrelation based Selection[12] 32
4.2.6 Gorokhov’s Algorithm[13] 33
4.2.7 Alkhansari’s Algorithm[14] 34
4.2.8 Eigenvalue Based Selection[15] 36
4.2.9 Proposed Antenna Selection Based on the Trace of Eigenvalue 36
4.3效能分析及複雜度統計 38
第五章 整合模擬及實測結果分析 42
5.1整合模擬分析 42
5.2運用實測通道效能分析 45
第六章 結論 52
參考文獻 53






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[2] 3GPP, R1-103107, Huawei, ”Feedback of long term channel information for adaptive codebook,” May, 2010.
[3] 3GPP, R1-105011, Way Forward on 8Tx Codebook for Rel.10 DL MIMO,” Aug. 2010.
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[5] Schwarz, S.; Mehlfuhrer, C.; Rupp, M., “Calculation of the spatial preprocessing and link adaption feedback for 3GPP UMTS/LTE, ” Wireless Advanced (WiAD), 2010 6th Conference on , vol., no., pp.1,6, 27-29 June 2010 doi: 10.1109/WIAD.2010.5544947
[6] Weihong Fu; Fei Zhang; Guo Yantao; Zhiting Cui, “Research on the selection algorithm of precoding matrix in TDD LTE, ” Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on , vol., no., pp.365,368, 27-29 May 2011
[7] M. Hu, S. Jin, and X. Gao, “A low-complexity adaptive transmission scheme based on the dual-codebook of 3GPP LTE-Advanced,” in Proc.IEEE Wireless Communications and Signal Processing (WCSP), 2011.
[8] S. G. Johnson and M. Frigo, "A modified split-radix FFT with fewer arithmetic operations," IEEE Trans. Signal Processing 55 (1), 111–119 (2007).
[9] Sanayei, S , “Antenna selection in MIMO systems ”, Communications Magazine, IEEE , pp. 68 – 73
[10] Y. Wang, J. Song, and L. D. Ge, “A combined antenna selection algorithm in MIMO systems,” in Proc. IEEE ICMMT, Apr. 2007, pp. 1-4.
[11] Y.-S. Choi, A. F. Molisch, M. Z. Win, and J. H. Winters, “Fast algorithm for antenna selection in MIMO systems,” in Proc. IEEE Veh. Technol. Conf. (VTC), vol. 3, Oct. 2003, pp. 1733-1737.
[12] J. S. Park and D. J. Park, “A new antenna selection algorithm with low complexity for MIMO wireless systems,” in Proc. IEEE ICC, vol. 4, May 2005, pp. 2308-2312.
[13] A. Gorokhov, “Antenna selection algorithms for MEA transmission systems,”, Proc. IEEE ICASSP, pp. 2857–2860, May 2002.
[14] Gharavi-Alkhansari, M. “Fast antenna subset selection in MIMO systems,” Signal Processing, IEEE Transactions on, vol. 52, pp.339-347, Feb. 2004.
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[17] M. A. Dahleh, “Lectures on Dynamic Systems and Control,” MIT open course.
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[19] 吳峯銘, “A Study of Channel Estimation for IEEE802.11p Wireless Vehicle Communications,” 國立臺灣海洋大學通訊與導航工程學系碩士學位論文, 2013.
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[22] Becker R., “Precoding and Spatially Multiplexed MIMO in 3GPP Long-Term Evolution,” High Frequency Electronics, Oct. 2009, pp. 18-26.

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