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論文名稱 Title |
使用 Interference Alignment 技術於非完美通道資訊之多重輸入多重輸出無線通訊系統中的效能分析 The Performance Analysis of the MIMO Systems Using Interference Alignment with Imperfect Channel State Information |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
48 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2012-06-13 |
繳交日期 Date of Submission |
2012-07-17 |
關鍵字 Keywords |
位元錯誤率、Zero-Forcing 等化器、非完美通道資訊、多重輸入多重輸出、Interference Alignment Interference Alignment, channel estimation error, MIMO, MIMO ZF equalizer, bit error rate |
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統計 Statistics |
本論文已被瀏覽 5660 次,被下載 3361 次 The thesis/dissertation has been browsed 5660 times, has been downloaded 3361 times. |
中文摘要 |
近年來, 在無線通訊系統中, Interference Alignment (IA)被證實可有效減輕使用者間訊號干擾(Interference) 的一種技術, 並且可以在干擾通道(Interference channel) 中達到最佳的自由度(Degrees of freedom) 。IA 可以利用不同的方式進行設計與實現如空間(Spatial domain) 、時域(Time domain) 、頻域(Frequency domain) 和編碼(Codes) 。在以往許多有關IA的研究中, 大部分是假設訊號傳送端擁有完美的通道資訊(Channel state information, CSI) , 然而在實際無線通訊系統中,可能會因估測誤差、量化誤差、回傳值錯誤或訊號延遲等因素而使的訊號傳送端與接收端無法取得完美通道資訊。本篇論文即為針對三個使用者的多重輸入多重輸出(Multiple-input multiple-output, MIMO) 下行干擾通道, 提出在空間中的IA 預編碼向量(Precoding vector) 設計, 並且針對系統具有通道估測誤差為複數高斯隨機變數的情況下, 分析在接收端利用多重輸入多重輸出Zero-Forcing等化器(MIMO Zero-Forcing equalizer) 解碼後的系統錯誤率近似值, 最後呈現數值與理論推導的模擬結果。 |
Abstract |
Recently, interference alignment (IA) has emerged as a promising technique to effectively mitigate interference in wireless communication systems. It has also evolved as a powerful technique to achieve the optimal degrees of freedom of interference channel. IA can be constructed in many domains such as space, time, frequency and codes. Currently, most researches on developing IA assume that channel state information (CSI) is well-known at the transceiver. However, in practice, perfect CSI at the transceiver can’t be obtained due to many factors such as channel estimation error, quantization error, and feedback error. Under our investigation, the performance of IA is very sensitive to imperfect CSI. Therefore, this thesis proposes a spatial domain IA scheme for the three-user multiple-input multiple-output (MIMO) downlink interference channels, and analyzes the effect of channel estimation errors by modeling the estimation error as independent complex Gaussian random variables. The approximated bit error rate (BER) for the system with MIMO Zero-Forcing equalizer using IA is derived. |
目次 Table of Contents |
摘要 i Abstract ii 目錄 iii 圖目錄 v 表目錄 vi 1 序論 1 2 系統模型 4 2.1 完美通道資訊系統模型 4 2.2 多重輸入多重輸出通道下的Zero-Forcing 等化器 5 3 Interference Alignment 預編碼向量設計8 3.1 預編碼向量設計概念 8 3.2 預編碼向量設計實現 9 3.3 特徵值 對於IA 效能的影響 10 4 使用IA 於MIMO 系統在非完美通道資訊下的錯誤率分析12 4.1 非完美通道資訊假設 12 4.2 非完美通道資訊下的錯誤率近似值分析(Receiver one) 13 4.3 非完美通道資訊下的錯誤率近似值分析(Receiver two) 17 4.4 非完美通道資訊下的錯誤率近似值分析(Receiver three) 20 5 模擬結果和分析 24 5.1 完美通道資訊中使用IA 預編碼向量設計下的系統效能分析 24 5.2 在非完美通道資訊情況下錯誤率近似值模擬 26 6 結論 31 參考文獻 32 附錄 35 |
參考文獻 References |
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