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系統識別號 U0002-0706201114403500
中文論文名稱 次世代無線通訊系統之使用疊代演算法來降低RPI效應
英文論文名稱 Using Iterative Algorithm to Mitigate RPI Effect in Next Generation Wireless Communication
校院名稱 淡江大學
系所名稱(中) 電機工程學系碩士班
系所名稱(英) Department of Electrical Engineering
學年度 99
學期 2
出版年 100
研究生中文姓名 黃興
研究生英文姓名 Hsin Huang
學號 698440418
學位類別 碩士
語文別 中文
第二語文別 英文
口試日期 2011-05-24
論文頁數 39頁
口試委員 指導教授-李揚漢
委員-李揚漢
委員-詹益光
委員-蔡志宏
委員-曹恆偉
委員-許獻聰
中文關鍵字 多天線輸入與輸出  低密度同位元檢查碼  正交分頻多工  多天線輸入與輸出及正交分頻多工之渦輪疊代接收機 
英文關鍵字 Multiple Input Multiple Output (MIMO)  Low Density Parity Check Code (LDPC code)  Orthogonal Frequency Division Multiplexing (OFDM)  MIMO OFDM Turbo Iterative Receiver 
學科別分類 學科別應用科學電機及電子
中文摘要 次世代無線通訊系統(LTE-A)中,傳收發端會配置多根天線(Multiple Input Multiple Output, MIMO)或是使用載波聚合(Carrier Aggregation, CA)來提高資料的傳送速度,這兩種技術的共通點就是多根天線,然而在多天線的系統中會降低系統效能的原因有可能是使用者的使用行為或是天線設計問題等等,若此現象發生我們稱之為天線間的接收功率不匹配(Received Power Imbalance, RPI),若對此現象置之不理則會造成系統的效能以非線性的速度降低,因此本論文分別在CA系統以及MIMO OFDM系統中使用疊代演算法來降低RPI對系統的影響。根據本論文的模擬結果可以發現使用疊代演算法的接收器能有效降低RPI效應。
英文摘要 For next generation wireless communication like Long Term Evolution-Advanced (LTE-A), in order to increase data rate the transmitter and receiver may equip multiple antennas or the system aggregates many component carriers to approach high data rate. Multiple antennas is a common characteristic between CA and MIMO system, however the received power imbalance (RPI) may cause by design flaw, operator’s negligence etc. If the system does not consider RPI effect, the system will be degradation non-linearly. Consequently in this thesis we will use iterative algorithm to mitigate RPI effect in CA system and MIMO OFDM system respectively. Based on simulation result we can find the iterative receiver can alleviate RPI effect greatly.
論文目次 List of Figures V
List of Tables VI
Chapter 1 Introduction 1
1.1 Study Motivation 1
1.2 Organization 2
Chapter2 The Decoder and Encoder of LDPC Code 3
2.1 Introduction of LDPC 3
2.2 The Sum-Product Algorithm 4
2.3 Based on QC LDPC Codes for Fast Encoding 7
Chapter3 Mitigate RPI Effect in CA System 11
3.1 Introduction 11
3.2 Using LDPC and AMC to Mitigate RPI Effect in CA System 12
3.3 Simulation Result 13
3.4 Conclusion 14
Chapter4 Using Iterative Algorithm to Mitigate RPI Effect in MIMO OFDM System 16
4.1 Introduction 16
4.2 MIMO OFDM Transmitter and Turbo Iterative Receiver 17
4.3 Simulation Result 22
4.4 Conclusion 33
Chapter5 Future Work 34
Reference 35

List of Figures
Figure 2. 1 CN Nodes Update Procedure 4
Figure 2. 2 VN Nodes Update Procedure 5
Figure 2. 3 jth VN collect all information 5
Figure 3. 1 Contiguous Type Carrier Aggregation 11
Figure 3. 2 Non-contiguous Type Carrier Aggregation 11
Figure 3. 3 A Carrier Aggregation Communication System with Received Power Imbalance (RPI) 13
Figure 3. 4 System Performance Comparisons 14
Figure 4. 1 A MIMO OFDM Transmitter and Turbo Iterative Receiver Structure 17
Figure 4. 2 The Receiver Suffers from RPI Effect 23
Figure 4. 3 RPI=0dB, MIMO OFDM Demodulation and LDPC Decoder 24
Figure 4. 4 RPI=-1dB, MIMO OFDM Demodulation and LDPC Decoder 25
Figure 4. 5 RPI=-2dB, MIMO OFDM Demodulation and LDPC Decoder 25
Figure 4. 6 RPI=-3dB, MIMO OFDM Demodulation and LDPC Decoder 25
Figure 4. 7 RPI=-4dB, MIMO OFDM Demodulation and LDPC Decoder 26
Figure 4. 8 RPI=-5dB, MIMO OFDM Demodulation and LDPC Decoder 26
Figure 4. 9 RPI=-6dB, MIMO OFDM Demodulation and LDPC Decoder 26
Figure 4. 10 RPI=-7dB, MIMO OFDM Demodulation and LDPC Decoder 27
Figure 4. 11 RPI=-8dB, MIMO OFDM Demodulation and LDPC Decoder 27
Figure 4. 12 RPI=-9dB, MIMO OFDM Demodulation and LDPC Decoder 27
Figure 4. 13 RPI=-10dB, MIMO OFDM Demodulation and LDPC Decoder 28
Figure 4. 14 RPI=0dB, MIMO OFDM Demodulation and CC216 Decoder 28
Figure 4. 15 RPI=-1dB, MIMO OFDM Demodulation and CC216 Decoder 28
Figure 4. 16 RPI=-2dB, MIMO OFDM Demodulation and CC216 Decoder 29
Figure 4. 17 RPI=-3dB, MIMO OFDM Demodulation and CC216 Decoder 29
Figure 4. 18 RPI=-4dB, MIMO OFDM Demodulation and CC216 Decoder 29
Figure 4. 19 RPI=-5dB, MIMO OFDM Demodulation and CC216 Decoder 30
Figure 4. 20 RPI v.s. EbN0 at BER-3 using CC216 decoder 32
Figure 4. 21 RPI v.s. EbN0 at BER-3 using LDPC decoder 32

List of Tables
Table 4. 1 Channel Coder 23
Table 4. 2 LTE-OFDM and CP Parameter 24
Table 4. 3 LTE-Multipath Parameter 24
Table 4. 4 Simulation Results Comparison between LDPC and CC216 30

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