臺灣博碩士論文加值系統

蜂巢式下行通訊系統中各基地台同時傳送信號至服務細胞內的多個手機用戶，此種通道環境被稱為干擾廣播通道 (Interfering Broadcast Channels, IBC)。在此系統中，每一個手機用戶所接收到的信號除了所欲收到信號之外，還包含了異細胞間干擾與同細胞用戶間干擾，因此需要透過適當的預編碼與等化技術將干擾作抑制。干擾對齊(Interference Alignment, IA)是一種有效減輕不同用戶間干擾的技術，有著能使系統達最大自由度(Degree of Freedom, DOF)之優點，因此近年來是非常熱門的研究課題。
本論文針對多重輸入多重輸出干擾廣播通道下之干擾對齊技術進行探討。提出以洩漏能量最小化之遞迴設計，以及以秩數限制與秩數最小化為設計原理的傳送接收機架構，並利用注水理論對於所設計出之系統進一步地最佳化各子通道間的功率分配以改善干擾對齊演算法在中低訊噪比下的和率表現。最後，我們以電腦模擬對於所提出之演算法進行比較與討論。

In multi-cell downlink communication systems, every base station simultaneously transmits the signals to all the mobile stations within the same cell. This channel is also known as the interfering broadcast channel (IBC) . In IBC, each mobile user not only receives its intended signal but also the inter-cell-interference as well as the inter-user-interference, and therefore proper precoding and equalization techniques have to be developed for effective interference suppression.
Interference alignment (IA) is a recent developed signal processing technique which not only effectively mitigates the interference but also achieves the largest possible degrees-of-freedom in the system, and hence has been a very hot research topic over the last few years. In this paper, we investigate IA technique for the multiple-input-multiple-output (MIMO) IBC. We proposed two different transceiver designs based on the concept of leakage minimization and rank-constraint-rank-minimization (RCRM), respectivley. The proposed designs are further enhanced by performing power allocation using water-filling. The performances of the proposed designs have been verified and compared via extensive computer simulations.

1 序論 1

1.1 研究動機與目的

1.2 章節概要


2 MIMO IC 與 MIMO IBC環境介紹

2.1 MIMO IC 介紹

2.2 MIMO IBC 介紹


3 干擾對齊技術之回顧

3.1 干擾對齊性質於向量空間之特性

3.2 干擾對齊性質於系統之特性

3.3 自由度之性質

3.4 干擾對齊之可行性

3.5 MIMO IC 下之參考文獻演算法

3.5.1 Iterative Interference Algorithm [1]

3.5.2 Rank Constrainted Rank Minimization Algorithm [2]

3.6 MIMO IBC 下之參考文獻演算法

3.6.1 Two Cell Explicit Interference Aligment 演算法 [6]


4 本論文所提出之干擾對齊演算法

4.1 MIMO IC 之RCRM演算法串接架構

4.2 MIMO IBC 之Two Cell explicit IA演算法串接架構

4.3 適用於MIMO IBC 下之洩漏能量最小化演算法

4.4 適用於MIMO IBC下之秩數最小化演算法


5 電腦模擬與分析

5.1 文獻於干擾通道下之演算法模擬比較

5.2 干擾通道下之具串接架構之干擾對齊演算法模擬比較

5.3 文獻中雙細胞雙用戶之干擾對齊演算法模擬比較

5.4 多細胞多用戶之干擾對齊演算法模擬比較


6 結論


Reference

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