無線通訊產業近年來發展快速，提出第五代(5th Generation, 5G)行動通訊系統，包含巨量天線(Massive MIMO)、毫米波(Millimeter Wave, mmWave) 、異質網路(Heterogeneous Network, HetNet)及等前瞻技術，有效的提高頻譜效益(Spectral Efficiency)。相關性大尺度參數 (Large scale parameters Correlation)特性的三維空間通道模型 (Three-dimensional Spatial Channel Model)是基於技術報告3GPP TR 38.901和International Mobile Telecommunications-2020 (IMT-2020 Standard)。根據上述兩份文件，本研究使用相關數值進行模擬分析，建立通道模型。然而，5G行動通訊系統還包含排程、預編碼、傳送機制等等，未來能基於這套模擬系統增加各種技術，完成5G行動通訊系統。

The wireless communication industry has developed rapidly in recent years and has been proposed 5G mobile communication systems. According to current research results, including massive MIMO, millimeter-wave (mmWave), and heterogeneous network (HetNet) technologies, it can effectively increase the spectral and energy efficiency. The three-dimensional spatial channel model (Three-dimensional Spatial Channel Model) of the large scale parameters Correlation characteristics is based on the technical report 3GPP TR 38.901 and International Mobile Telecommunications-2020 (IMT-2020 Standard). According to the above two documents, this study uses relevant values for simulation analysis to establish a channel model. However, the 5G mobile communication system also includes scheduling, precoding, transmission mechanisms, etc. In the future, various technologies can be added based on this simulation system to complete the 5G mobile communication system.

圖目錄 5
表目錄 7
名詞定義 8
符號定義 9
第一章 緒論 11
1.1研究背景 11
1.2研究動機 11
1.3論文章節概述 12
第二章 5G NR行動通訊系統 13
2.1大規模多重輸入多重輸出 13
2.2 波束成型(Beamforming)[7] 14
2.3通道估測(Channel Estimation) 15
第三章 三維空間通道模型 (Three-dimensional Spatial Channel Model)建構 16
3.1設定模擬環境參數 18
3.1.1 建立天線模型 18
3.2 Large Scale參數產生 20
3.2.1 UT端的狀態分布 20
3.2.2 計算路徑損耗(Pathloss) 22
3.2.3 產生大規模參數 22
3.3 Small Scale參數產生 23
3.3.1 計算cluster delay 23
3.3.2計算cluster power 24
3.3.3 計算AOA、AOD、ZOA、ZOD 25
3.3.4 隨機配對子路經 32
3.3.5 產生XPR(cross polarization power ratios) 32
3.4 通道係數產生 32
3.4.1 產生隨機相位 32
3.4.2 計算通道係數 33
第四章 系統模擬設計 35
4.1 Load Parameters 35
4.2 Load Scenario Parameters 35
4.3 Generate Network Topology 36
4.4 Generate UE 36
4.5 GenerateUE Channel Large Scale Parameters 37
4.6 Assign Cell 38
第五章 模擬結果 39
第六章 結論與未來展望 48
附錄(一) Pathloss 模型 49
附錄(二)通道模型參數 51
參考文獻 53

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