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???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
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dc.contributor.advisor | 闕志達(Tzi-Dar Chiueh) | |
dc.contributor.author | Ming-Hsuan Lai | en |
dc.contributor.author | 賴明煊 | zh_TW |
dc.date.accessioned | 2021-06-17T06:10:39Z | - |
dc.date.available | 2028-11-12 | |
dc.date.copyright | 2018-11-23 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-11-16 | |
dc.identifier.citation | [1]
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Jhang, “Design and implementation of a latency efficient encoder for LTE systems,” ETRI J., vol. 32, no. 4, pp. 493–502, Aug. 2010. [44] J. Kim, S. Hyeon, and S. Choi, “Implementation of an SDR System using Graphics Processing Unit,” IEEE Communications Magazine, Vol. 48, No. 3, pp. 156–162, Mar. 2010. [45] Specification of USRP-2943 (Ettus X310). [Online] Available: https://kb.ettus.com/X300/X310. [46] UHD Manual [Online] Available: http://files.ettus.com/manual/ [47] Qt [Online] Available: https://www.qt.io/ [48] Qt package, QCustomplot. [Online] Available: https://www.qcustomplot.com/ [49] OpenCL specification [Online] Available: https://www.khronos.org/registry/OpenCL/specs/opencl-1.2.pdf | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71811 | - |
dc.description.abstract | 車聯網意指車輛與與車輛、交通建設、行人與網路間能夠進行無線數位訊號的交換。車聯網做為自動車輛駕駛的關鍵技術,期望能夠為人類帶來更安全且更有節能的運輸系統。同時也為5G兩大應用場景大規模物聯型態通訊以及高可靠與低延遲通訊的重要應用,其潛在龐大的商業價值使得世界各國都極力促成相關規範的計畫與制定。
在現今5G無線通訊系統多元應用需求下,規格多元且彈性,為實作增加挑戰。軟體定義無線電開發快速的特性使其成為潛在的解決方案。而本論文利用具有巨量平行運算資源的GPU、以完整開發之商用RF模組以及開源之圖形化使用者介面套件,整合並建立一軟體定義無線電平台。其中,提出各種於GPU實作上高效率演算法與系統優化技巧,例如透過遞迴演算法的轉換將原本不利於GPU實作之線性反饋暫存器效能提升數十倍。另外也更透過空氣成功驗證並實地即時展示3GPP所制定V2X相關規範,此平台能在5 ms內即時地完成基頻訊號解碼且維持區塊錯誤率(Block error rate, BLER)低於0.0001的水準,已初步滿足Release 14規範中之車聯網應用需求。 隨著5G NR規範制定的進展,得利於本論文所設計平台以軟體方式實現,並且選擇移植性極高的OpenCL做為開發程式語言,未來只須些微修改便能做為NR C-V2X原型開發平台。此外經過分析,本論文所提出之相關演算法與優化技巧於5G場景不但仍然適用,更因為頻寬、調變階數等系統參數的提高使得資料量大增而有更顯著的效果。 | zh_TW |
dc.description.abstract | Vehicle-to-everything (V2X) refers to the wireless exchange of digital information between vehicles and other nodes, such as other vehicles, road infrastructure, internet, and pedestrians. V2X is expected to enable autonomous driving that provides safer and much more energy-efficient transportation services. Massive machine type communications (mMTC) and ultra-reliable and low latency communications (URLLC) which are two main scenarios in 5G communication, and their potential commercial potential has prompted research works on the 5G V2X tehcnology.
5G communications technology and applications are flexible and diverse, making it a huge challenge to implement the 5G system efficiently. Among several solutions, software-defined radio (SDR) has become an attractive approach. In this thesis, we integrates and builds a software-defined radio platform using a GPU with a large amount of parallel computing resources, a well-developed commercial RF module, and an open source graphical user interface toolkit. In addition, various highly efficient algorithms and system optimization techniques on GPU implementation are also proposed. Such as high-throughput linear feedback shift register implementation by transforming the recursive algorithm into a block matrix form. Further, we also successfully verify our platform and demonstrate the system specified by 3GPP in field trial. It is shown that our platform can finish decoding in 5 ms and maintain BLER under 0.0001 at the same time. The development of 5G specifications, NR C-V2X is just around the corner. We believe the proposed flexible OpenCL-based software-defined-radio system can serve as a foundation for the quick development of NR C-V2X prototype with minor modification. Also, the related algorithms and optimization techniques proposed in this paper are not only applicable in 5G, but also get more significant gain due to higher bandwidth and modulation order. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T06:10:39Z (GMT). No. of bitstreams: 1 ntu-107-R05943038-1.pdf: 7150920 bytes, checksum: a9af64d00dd95a39fadd4dd3d7890b23 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 致謝 i
摘要 ii Abstract iii 目錄 v 圖目錄 x 表目錄 xiii 縮寫表 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 車聯網 (Vehicle-to-Everything)介紹 5 2.1 V2X需求與挑戰 5 2.2 V2X規範比較 6 2.3 Cellular-V2X (C-V2X) 7 2.3.1 C-V2X發展與演進 7 2.3.2 規範制定計畫與實際用例 8 2.3.3 Rel-14針對V2V場景的加強 10 第三章 3GPP標準介紹 12 3.1 訊框結構 (Frame structure) 12 3.2 波型參數 (Numerology) 13 3.3 資源池 (Resource pool) 16 3.4 循環冗贅核對與碼塊切割 (Cyclic redundancy check, CRC, and code block segmentation) 17 3.5 通道編碼 (Channel coding) 18 3.5.1 去尾迴旋碼 (Tail-biting convolutional code) 19 3.5.2 渦輪碼 (Turbo code) 19 3.6 速率匹配 (Rate matching) 22 3.6.1 子區塊交織器 (Sub-block interleaver) 23 3.6.2 位元蒐集與循環緩衝器 (Bit collection and circular buffer) 24 3.6.3 位元選擇與刪減 (Bit selection and pruning) 25 3.7 擾亂 (Scrambling) 26 3.8 星座點調變 (Constellation modulation) 27 3.9 側鍊廣播通道 (Sidelink broadcast channel, SLBCH) 30 3.9.1 側鍊主要資訊區塊 (Sidelink master information block, SLMIB) 30 3.10 側鍊控制通道 (Sidelink control channel, SLCCH) 31 3.10.1 側鍊控制資訊 (Sidelink control information, SCI) 32 3.10.2 調變與編碼策略 (Modulation and coding scheme, MCS) 35 3.11 側鍊共享通道 (Sidelink shared channel, SLSCH) 36 3.12 物理訊號 (Synchronization signal) 37 3.12.1 同步訊號 (Synchronization signal) 37 3.12.2 解調變參考訊號 (Demodulation reference signal, DMRS) 41 3.13 物理側鍊廣播通道 (Physical sidelink broadcast channel, PSBCH) 45 3.14 物理側鍊控制通道 (Physical sidelink control channel, PSCCH) 46 3.15 物理側鍊共享通道 (Physical sidelink shared channel, PSSCH) 48 3.16 物理層程序 (Physical layer procedure) 50 3.16.1 半永久式排程 (Semi-persistent scheduling,SPS) 50 3.16.2 資源感測程序 (Resource sensing procedure) 51 3.16.3 混合式自動重送請求 (Hybrid automatic repeat request, HARQ) 54 第四章 接收機系統架構設計與實作 55 4.1 OpenCL簡介 55 4.2 V2V接收機架構簡介 57 4.3 分數載波頻率飄移估測 (Fractional CFO Estimation) 59 4.4 主要同步訊號序列、整數載波頻率飄移、符元邊界聯合偵測 (PSSS, ICFO, Symbol boundary joint detection) 60 4.4.1 主要同步訊號序列與整數載波頻率飄移範圍分析 60 4.4.2 PIS joint detection 61 4.4.3 OpenCL運算優化 62 4.5 次要同步訊號序列偵測 (SSSS detection) 64 4.6 傅立葉轉換 (Fourier transform) 66 4.6.1 快速傅立葉轉換 (Fast fourier transform,FFT) 66 4.6.2 點數可調式離散傅立葉轉換 (Variable-length DFT) 68 4.7 通道估測與等化 (Channel estimation and equalization) 70 4.7.1 最小平方法 (Least square method) 71 4.7.2 最小均方誤差法 (Minimum mean square error method) 71 4.8 星座點解調變 (Constellation demodulation) 72 4.9 位元解擾碼 (Bit descrambling) 73 4.9.1 線性反饋移位暫存器 (Linear feedback shift register, LFSR) 73 4.9.2 線性反饋移位暫存器遞迴表示式 74 4.9.3 高平行輸出區塊矩陣表示式 75 4.9.4 效能優化比較 76 4.10 碼率復原 (Rate recovery) 77 4.10.1 側鍊廣播通道與側鍊控制通道之碼率復原(Rate recovery for SLBCH and SLCCH) 78 4.10.2 側鍊共享通道之碼率復原(Rate recovery for SLSCH) 79 4.11 通道解碼 (Channel decoding) 80 4.11.1 籬笆圖 (Trellis diagram) 81 4.11.2 維特比解碼器 (Viterbi decoder) 82 4.11.3 渦輪碼解碼器 (Turbo decoder) 83 4.12 循環冗贅碼核對 (Cyclic redundancy code check, CRC check) 86 4.12.1 位元長除法與線性反饋移位暫存器 86 4.12.2 長除法之矩陣遞迴表示式 87 4.12.3 效能優化比較 89 第五章 軟體定義無線電之系統整合 91 5.1 軟體定義無線電平台介紹 91 5.1.1 通用軟體無線電周邊設備(Universal software radio peripheral, USRP) 91 5.1.2 USRP硬體驅動(USRP hardware driver, UHD) 93 5.1.3 圖形化使用者介面(Graphical user interface, GUI) 93 5.2 系統整合 94 5.3 系統優化與效能分析 96 5.3.1 多重子訊框解碼 (Multi-subframe decoding) 96 5.3.2 非阻塞應用程式介面排程 (Non-blocking API scheduling) 98 5.3.3 系統效能量測 99 5.4 實地實時系統成果展示 100 第六章 結論與展望 104 參考文獻 105 | |
dc.language.iso | zh-TW | |
dc.title | 基於軟體定義無線電平台之車間通訊接收機設計與實作 | zh_TW |
dc.title | Design and Implementation of V2X Receiver on a Software Defined Radio Platform | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蘇炫榮(Hsuan-Jung Su),蘇柏青(Bor-Ching Su),魏宏宇(Hung-Yu Wei) | |
dc.subject.keyword | 大規模物聯型態通訊,高可靠與低延遲通訊,車聯網,側鍊路,OpenCL實作之基頻接收機,軟體定義無線電, | zh_TW |
dc.subject.keyword | massive machine type communications,ultra-reliable and low latency communications,vehicle-to-everything,sidelink,OpenCL-based baseband receiver,software-defined radio, | en |
dc.relation.page | 109 | |
dc.identifier.doi | 10.6342/NTU201804271 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-11-16 | |
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 |
Appears in Collections: | 電子工程學研究所 |
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