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博碩士論文 etd-0601113-180111 詳細資訊
Title page for etd-0601113-180111
論文名稱
Title
MIMO無線通訊系統使用Interference Alignment的效能評估
The Performance Evalution of MIMO System Using Interference Alignment
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
38
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2013-06-07
繳交日期
Date of Submission
2013-07-03
關鍵字
Keywords
非完美通道資訊、效能分析、Interference Alignment、距離準則、多重輸入多重輸出
performance analysis, distance metrics, MIMO, channel estimation error, Interference Alignment
統計
Statistics
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The thesis/dissertation has been browsed 5646 times, has been downloaded 414 times.
中文摘要
近年在無線通訊系統中, Interference Alignment (IA) 技術被證實可有效減輕訊號干擾(Inter-
ference) , 並且可以在干擾通道(Interference channel) 中達到最佳的自由度(Degree of freedom,
DoF) 。IA 可以使用不同的方法進行設計與實現如空間(Spatial domain) 、時域(Time domain) 、
頻域(Frequency domain)和編碼(Code) 多樣性等方式。以往有許多有關IA的研究中, 大部分都假
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,
往往無法如此理想, 可能會因為訊號延遲、量化誤差、估測誤差或回傳值錯誤等因素而使得訊號傳送
端與接收端無法取得完美通道資訊。因此, 本篇論文針對三個使用者下多重輸入多重輸出(Multiple-
input multiple-output, MIMO) 的干擾通道, 提出在空間中IA 預編碼矩陣(Precoding matrix)
的設計及選擇, 並且針對系統通道為複數高斯隨機變數時具有估測誤差的情況, 評估在接收端利用正
交波束合成矩陣(Beamforming matrix) 時使用傳統的Zero-Forcing (ZF) 、MMSE 和Maximum
likelihood (ML) 解碼或直接利用多重輸入多重輸出等化器(MIMO equalizer) 解碼後的系統錯誤率,
最後呈現比較的模擬結果。
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 im-
plemented in many ways such as space, time, frequency and code dirercities. Currently, most
researches on developing IA assume that channel state information (CSI) is well-known at the
transceiver. In practice, perfect CSI at the transceiver cannot be obtained due to many factors
such as signal delay, quantization error, channel estimation 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
simulation also shows comparison results between recieving orthogonal beamforming matrix
with traditional decoder and directly used MIMO equalizer without any beamforming matrix.
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 系統模型與預編碼設計. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . .3
2.1 完美通道資訊系統模型. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.2 預編碼矩陣設計概念與實現. . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.3 預編碼矩陣選擇. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
3 Interference Alignment 接收端設計. . . . . . . . . . . . . . . . . . . . . .10
3.1 接收端波束合成矩陣設計. . . . . . . . . . . . . . . . . . . . . . . . . . . 10
3.2 多重輸入多重輸出通道下的Zero-Forcing 等化器. . . . . . . . . . . 11
3.3 多重輸入多重輸出通道下的Maximum likelihood 等化器.. . . . . 14
4 模擬結果. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . .. . .15
4.1 預編碼矩陣選擇效能的差異. . . . . . . . . . . . . . . . . . . . . . .. . . 16
4.2 解碼方式的效能分析. . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . 20
4.3 針對接收端有無波束合成矩陣的效能分析. . . . . . . . . . . . . . . . 24
5 結論. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . .27
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