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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 闕志達(Tzi-Dar Chiueh) | |
dc.contributor.author | Wen-Ching Hu | en |
dc.contributor.author | 胡文瀞 | zh_TW |
dc.date.accessioned | 2021-06-17T02:11:42Z | - |
dc.date.available | 2023-01-27 | |
dc.date.copyright | 2018-01-27 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2018-01-09 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68044 | - |
dc.description.abstract | 隨著行動通訊的快速發展,5G對於傳輸流量的要求提高,高密度網路(Ultra Dense Network)成為未來發展的重要技術之一。高密度網路即是新增小型基地台在大型基地台用戶負載較重或是覆蓋不及的地方,用以分擔大型基地台的負載,但是也造成基地台與基地台之間的訊號干擾。因此本論文針對超高密度網路的情境,設計並實做干擾感知接收機。
在通道估測的部分,UDN干擾感知接收機與一般接收機有很大的不同,我們需要估計出干擾訊號以及目標訊號的通道。為了節省參考訊號擺放的位置以及有良好的通道估測結果,我們提出新式小型基地台參考訊號樣式(pattern)與序列,設計小型基地台參考訊號序列為大型基地台之角度旋轉,在接收端設計相對應的通道估測方式,最後我們可以同時估計多個傳送端到接收端的通道且通道估測結果如同干擾源不存在。 超高密度網路實作展示中,我們實作LTE下行軟體定義無線電(SDR)實收實解系統。SDR平台結合了CPU、GPU與USRP,在傳送端以三台不同傳送功率的USRP模擬大型基地台造成的強干擾(interfering MBS)、服務小型基地台(serving PBS)的目標訊號以及鄰近小型基地台(interfering PBS)造成的弱干擾。接收端以GPU為主要運算裝置實作干擾感知接收機,利用GPU優越的平行處理能力壓縮執行時間,進而讓系統運作在更高的取樣率。這篇論文完成LTE 10 MHz頻寬的UDN即時解調系統,並測試傳送端同步不匹配以及不同能量組合下,接收端的通道估測結果與解碼情況。 | zh_TW |
dc.description.abstract | To meet the requirement of 5G to deliver 1000 times higher data throughput, ultra-dense network (UDN) has become one of the important technologies for the future. The UDN architecture employs a large number of small pico base stations (PBS) whose service regions are embedded within that of a larger macro base station (MBS). UDN has the advantages of good coverage, higher spectrum utilization and low cost. However, increasing BS density inevitably induces inter-cell interference (ICI). In this paper, we redesign interference-aware receiver and present a real-time software defined radio (SDR) demonstration for an LTE downlink transceiver in UDN.
For interference-aware receiver, we need to estimate channel of the target signal and the interference signal. In order to avoid throughput degradation and have good channel estimation results, we redesign PBS reference signal. The new PBS reference signal sequence is the phase rotation of MBS reference signal sequence. At the receiver, the corresponding channel estimation method can estimate the channels from multiple transmitters to the receiver simultaneously and perform as well as single cell scenario. In the over-the-air UDN demonstration, we present a real-time software-defined radio (SDR) solution for an LTE downlink transceiver in UDN. This SDR platform integrated the processing power of CPU, GPU, and commercial RF transmitting and receiving front-end instruments. At the transmitting end, we emulated three 4G LTE base stations: one strong interference from MBS and another weaker interference from a neighboring PBS, plus the serving PBS. At the receiving end, we used the GPU as the main computing device to implement the interference-aware receiver. Powerful parallel processing on GPU can compress the execution time and thereby enable the system to operate at a higher sampling rate. Finally, the prototype successfully demonstrated real-time reception of 10-MHz two-stream LTE signal under two interference sources. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T02:11:42Z (GMT). No. of bitstreams: 1 ntu-106-R04943019-1.pdf: 4747000 bytes, checksum: 29fe8e0fd7ddb6a394195aa8f15e35af (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 致謝 i
摘要 iii Abstract v 目錄 vii 圖目錄 xi 表目錄 xv 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 4 第二章 超高密度網路(Ultra Dense Network)介紹 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) 8 2.3 傳送端資料訊號干擾管理技術 8 2.3.1 多點協作(CoMP) 9 2.3.2 細胞間干擾協調(Inter-Cell Interference Coordination) 10 2.4 接收端資料訊號干擾管理技術 11 2.4.1 干擾抑制接收機(Interference Suppression Receiver) 12 2.4.2 干擾感知接收機(Interference-Aware Receiver) 12 2.5 參考訊號干擾種類 13 2.6 傳送端參考訊號干擾管理技術 14 2.7 接收端參考訊號干擾管理技術 15 2.7.1 PDSCH穿刺(Pucturing) 15 2.7.2 參考訊號干擾消除(CRS-IC) 16 2.8 超高密度異質網路系統模型 17 第三章 3GPP LTE 標準介紹與參考訊號之設計 19 3.1 訊框結構 19 3.2 下行參數 22 3.3 時頻格網 23 3.4 同步訊號 24 3.4.1 Primary Synchronization Signal (PSS) 25 3.4.2 Secondary Synchronization Signal (SSS) 26 3.5 Cell-specific Reference Signal(CRS) 29 3.6 新式參考訊號設計 30 3.6.1 小型基地台新式參考訊號序列 31 3.6.2 小型基地台新式參考訊號樣式 34 第四章 接收機系統架構設計與實作 35 4.1 OpenCL簡介 35 4.2 UDN接收機架構簡介 37 4.3 符元邊界粗估 (Coarse Symbol Boundary Detection) 38 4.4 分數載波頻率飄移估測 (Fractional CFO Estimation) 40 4.5 快速傅立葉轉換 41 4.6 PSS兩階段偵測整數載波頻率飄移與Sector ID 42 4.7 SSS偵測Group ID 44 4.8 符元邊界細估 (Fine Symbol Boundary Detection) 48 4.9 傳統通道估測 48 4.9.1 最小平方法(LS)通道估測 49 4.9.2 最小均方誤差法(MMSE)通道估測 49 4.9.3 DFT-based 通道估測 50 4.10 新式多通道估測設計 51 4.9.1 LS通道估測 52 4.9.3 時域窗(time domain window)設計 54 4.11 欠秩多輸入多輸出偵測器(under-determined MIMO detection) 56 4.12 通道解碼 58 4.13 OpenCL程式優化 61 4.14 模擬結果與結論 62 4.14.1 通道估測模擬結果與討論 63 4.14.2 系統的可擴展性模擬結果與討論 71 4.14.3 系統的執行時間測試結果與討論 75 第五章 軟體定義無線電與系統整合 77 5.1 軟體定義無線電介紹 77 5.2 軟體定義無線電平台架構 78 5.2.1儀器介紹 78 5.2.2軟體定義無線電硬體配置架構 82 5.3 應用程式介面 83 5.4 圖形使用者介面 83 5.5 展示成果 85 第六章 討論與結論 91 參考文獻 93 | |
dc.language.iso | zh-TW | |
dc.title | 超高密度網路下干擾感知接收機之設計與實作 | zh_TW |
dc.title | Design and Implementation of Interference-Aware Receiver in Ultra Dense Network | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 謝宏昀,蘇柏青,蘇炫榮 | |
dc.subject.keyword | 高密度異質網路,參考訊號設計,通道估測,干擾感知接收機,軟體定義無線電, | zh_TW |
dc.subject.keyword | ultra-dense network,reference signal design,channel estimation,interference aware receiver,software-defined radio, | en |
dc.relation.page | 97 | |
dc.identifier.doi | 10.6342/NTU201800028 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-01-09 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
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