臺灣博碩士論文加值系統

由於行動數據流量的快速成長，為了增加網路容量，超高密度網路是下一代行動數據通訊標準的候選之一，然而，傳統的線性接收機無法應付超高密度網路帶來的嚴重干擾問題，未來我們很有可能得用功能更強的干擾感知接收機才能達到足夠的效能，而干擾感知接收機的複雜度又比線性接收機大很多，本論文提出降低複雜度的演算法來達到使用者可接受的錯誤率，希望在未來5G的超高密度網路佈建之下，使用者能夠以低複雜度的手機達到足夠的效能。
本論文針對超高密度網路的干擾情境對不同程度的干擾做不同的處理，針對強干擾，本論文提出樹狀搜尋位元干擾消除接收機，可以不論在平坦或快速通道下都能有效消除超高密度網路下來自MBS的強干擾，而對剩餘的弱干擾，本論文提出縮小星座點搜尋的方法降低樹狀搜尋的走訪點，並針對此方法做理論錯誤率分析，另外提出恰可接受錯誤率之縮小星座點搜尋位元干擾消除接收機，能根據縮小星座點的理論錯誤率分析動態選擇縮小星座點搜尋數目。

Data traffic demand in cellular networks grows up very fast. To increase network capacity, Ultra Dense Network is a candidate technique in next generation mobile communication. However, traditional linear receiver is no longer applicable due to the severe interference problem in Ultra Dense Network scenario. We probably use interference-aware receiver which complexity is much higher than linear receiver to get acceptable performance. This thesis proposes low-complexity interference-aware receiver while maintaining acceptable performance.
Due to the difference of transmit power of different types of base station, we will encounter different interference streams. For strong interference stream, we propose Tree Search with Bit-level Cancellation Receiver which can cancel strong interference effectively both in flat fading and fast fading channel. For the residual weak interference, we propose Reduced Constellation search to reduce visit node during tree search and we analyze the error rate of Reduced Constellation search. Besides, we propose Just Acceptable Error Rate Reduced Constellation Bit-Level Cancellation Sphere Decoder which can dynamically switch Reduced Constellation search configuration by Reduced Constellation search error rate analysis.

目錄
誌謝…………………………………………………………………..…………….I
摘要…………………………………………………………………..…………..III
Abstract.………………………………………………………….……..………...V
目錄…...…………………………………………………………………….…...VII
圖目錄……………………………………………………………….……….…...XI
表目錄……………………………….…………………………….…...….…....XIII
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 論文架構 3
第二章 超高密度網路 5
2.1 基地台種類 5
2.2 基地台之間的干擾情境 7
2.2.1 覆蓋空洞(Coverage hole) 7
2.2.2 細胞範圍擴展(Cell Range Expansion) 7
2.2.3 接收端訊號模型 8
2.3 傳送端干擾管理技術 9
2.3.1 聯合傳輸與動態細胞選擇 9
2.3.2 細胞間干擾協調(Inter-cell interference coordination) 9
2.4 接收端干擾管理技術 11
2.4.1 干擾抑制接收機(Interference Suppression Receiver) 11
2.4.2 干擾感知接收機(Interference-Aware Receiver) 11
第三章 多輸入多輸出系統干擾感知接收機 13
3.1 多輸入多輸出系統模型 13
3.1.1 多輸入多輸出系統簡介 13
3.1.2 通道容量(Cannel Capacity) 15
3.2 多輸入多輸出偵測(MIMO Detection) 16
3.2.1 軟/硬性輸出解碼 16
3.2.2 強制歸零(Zero Forcing) 17
3.2.3 最小均方錯誤(Minimum Mean Square Error) 18
3.2.4 排序連續干擾消除(Order Successive Interference Cancellation) 20
3.2.5 最大概似(Maximum Likelihood) 21
3.2.6 球面解碼(Sphere Decoder) 22
3.3 多輸入多輸出位元交錯編碼調變系統(MIMO BICM Systems) 31
3.4 欠秩多輸入多輸出偵測(Under-Determined MIMO Detection) 32
3.4.1 通用球面解碼(Generalized Sphere Decoder) 32
3.4.2 快速通用球面解碼(Fast Generalized Sphere Decoder) 34
3.4.3 正規化通用球面解碼(Regularized Generalized Sphere Decoder) 36
第四章 多輸入多輸出系統干擾感知接收機錯誤率分析 39
4.1 全星座點搜尋接收機錯誤率分析 39
4.2 強制歸零接收機錯誤率分析 44
4.3 縮小星座點搜尋接收機錯誤率分析 46
4.3.1 縮小星座點搜尋(Reduced Constellation Search) 46
4.3.2 縮小星座點搜尋錯誤率公式 47
4.3.3 單層縮小星座點外機率 49
4.4 模擬結果 51
4.4.1 全星座點搜尋干擾感知接收機錯誤率分析模擬 52
4.4.2 縮小星座點搜尋干擾感知接收機錯誤率分析模擬 56
第五章 恰可接受錯誤率之 縮小星座點搜尋位元干擾消除接收機 64
5.1 訊雜比估測器(SNR estimator) 64
5.2 位元干擾消除(Bit-Level Cancellation) 67
5.2.1 符元干擾消除 67
5.2.2 最小均方錯誤與降維球面解碼位元干擾消除接收機 68
5.2.3 樹狀搜尋位元干擾消除接收機 69
5.3 縮小星座點搜尋切換策略 71
5.3.1 縮小星座點搜尋錯誤率內插器 73
5.3.2 縮小星座點搜尋錯誤率預測器 75
5.4 系統方塊圖 76
5.5 模擬結果 77
第六章 結論與展望 83
參考資料 85
 

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