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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 蘇柏青 | zh_TW |
dc.contributor.advisor | Borching Su | en |
dc.contributor.author | 董庭瑋 | zh_TW |
dc.contributor.author | Ting-Wei Tung | en |
dc.date.accessioned | 2023-01-09T06:26:51Z | - |
dc.date.available | 2023-11-09 | - |
dc.date.copyright | 2023-01-06 | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-11-17 | - |
dc.identifier.citation | G. Wunder et al., "5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications", in IEEE Communications Magazine, vol. 52, no. 2, pp. 97-105, Feb. 2014
N. Michailow et al., "Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks," in IEEE Transactions on Communications, vol. 62, no. 9, pp. 3045-3061, Sept. 2014 R. Datta et al., "GFDM Interference Cancellation for Flexible Cognitive Radio PHY Design," in 2012 IEEE Vehicular Technology Conference (VTC Fall), pp. 1-5, 2012 M. Matthé et al, "Precoded GFDM transceiver with low complexity time domain processing," in EURASIP Journal on Wireless Communications and Networking, vol. 2016, no. 1, pp. 1-9, 2016 M. Matthé, D. Zhang and G. Fettweis, "Low-complexity Iterative MMSE-PIC Detection for MIMO-GFDM," in IEEE Transactions on Communications, vol. 66, no. 4, pp. 1467-1480, 2017 M. Matthé, D. Zhang and G. Fettweis, "Iterative Detection Using MMSE-PIC Demapping for MIMO-GFDM Systems," in European Wireless 2016; 22th European Wireless Conference, pp. 1-7, 2016 C. Studer, S. Fateh and D. Seethaler, "ASIC Implementation of Soft-Input Soft-Output MIMO Detection Using MMSE Parallel Interference Cancellation," in IEEE Journal of Solid-State Circuits, vol. 46, no. 7, pp. 1754-1765, 2011 C. Studer, "Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects," Diss. ETH Zurich, 2009 M. Huemer and O. Lang, "On Component-Wise Conditionally Unbiased Linear Bayesian Estimation," in Proc. Conf. Rec.-Asilomar Conf. Signals Syst. Comput., pp. 879-885, 2014 T. K. Roy, M. F. Pervej and M. Morshed, "Performance Comparison of Three Optimized Alternative Pulse Shaping Filters with the Raised Cosine Filter for Wireless Applications," in 2015 International Conference on Computer and Information Engineering (ICCIE), pp. 9-12, 2015 P.-C. Chen, B. Su, and Y. Huang, "Matrix characterization for GFDM: Low complexity MMSE receivers and optimal filters," in IEEE Transactions on Signal Processing, vol. 65, no. 18, pp. 4940-4955, Jun. 2017 P.-C. Chen, B. Su, "Filter Optimization of Out-of-Band Radiation with Performance Constraints for GFDM Systems," in 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1-5, 2017. Gallager, R.G. Low-Density Parity-Check Codes; MIT Press: Cambridge, MA, USA, 1963. Chairman's Notes of Agenda Item 7.1.4 Channel Coding, document R1-1709681, 3GPP, May 2017. Available Online: http://www.3gpp.org/ftp/TSG_RAN/WG1_RL1/TSGR1_89/Docs/R1-1709681.zip T. T. B. Nguyen, T. N. Tan and H. Lee, "Efficient QC-LDPC Encoder for 5G New Radio," in Electronics, vol. 8, no. 6, pp. 668, 2019 L. Wang, "Implementation of Low-Density Parity-Check codes for 5G NR shared channels," 2021 Y. P. Lin, S. M. Phoong, and P. P. Vaidyanathan, ”Filter Bank Transceivers for OFDM and DMT Systems.” Cambridge, U.K.: Cambridge Univ. Press, 2011. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83120 | - |
dc.description.abstract | 近年來,因其靈活性及其低帶外發射(Out-of-Band Emission, OOBE)的特性,廣義分頻多工(Generalized Frequency Division Multiplexing, GFDM)系統被推出用以替代正交分頻多工(Orthogonal Frequency Division Multiplexing, OFDM)。另外,在未來無線網路中,多重輸入輸出(Multiple-Input Multiple-Output, MIMO)將會是很重要的技術。然而因為是非正交傳輸波形,多輸入多輸出廣義分頻多工(MIMO GFDM)系統需要面臨符元間干擾(Inter-Symbol Interference, ISI)、載波間干擾(Inter-Carrier Interference, ICI)和天線間干擾(Inter-Antenna Interference, IAI)。在本論文中,我們採用最小均方誤差-平行干擾消除(Minimum Mean Squared Error with Parallel Interference Cancellation, MMSE-PIC)的接收器來處理空間多路(Spatial Multiplexing)多輸入多輸出預編碼廣義分頻多工(MIMO Precoded GFDM)系統的訊號和干擾,並透過提出的預編碼矩陣(Precoder Matrix)簡化偵測器(Detector),以及透過資源分配(Resource Allocation)更進一步降低錯誤率(Error Rate)。藉由我們的方法來實現最小均方誤差-平行干擾消除除了有比較低的錯誤率外,其複雜度和過去用在傳統多輸入多輸出廣義分頻多工的研究幾乎相同。實驗結果顯示,我們提出的設計擁有較低的錯誤率,但有較高的帶外發射。 | zh_TW |
dc.description.abstract | In recent year, generalized frequency division multiplexing (GFDM) was proposed as an alternative waveform to orthogonal frequency division multiplexing (OFDM) due to flexibility and low out-of-band emission (OOBE). Besides, multiple-input multiple-output (MIMO) techniques are significant for future wireless networks. However, as a non orthogonal transmission scheme, MIMO GFDM system suffers from inter-symbol interference (ISI), inter-
carrier interference (ICI) and inter-antenna interference (IAI). To cope with multiple kinds of interference, interference cancellation algorithms have been explored in the past. In this thesis, we implement iterative minimum mean squared error with parallel interference cancellation (MMSE-PIC) receiver structure in spatial multiplexing MIMO precoded GFDM system, and propose the method with better error performance, which includes the proposed precoder and the proposed set of subsymbol indices. Proposed precoder matrix simplifies the detector, and the proposed set of subsymbol indices can further improve error performance. The complexity of the proposed method is nearly the same as in previous work in conventional MIMO GFDM. Simulation results show that proposed method has visibly better error performance but lower spectral property in terms of OOBE. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-01-09T06:26:51Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-01-09T06:26:51Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii Contents iv List of Figures vi List of Tables viii 1 Introduction 1 1.1 Introduction 2 1.2 Related Works 2 1.3 Motivation 3 1.4 Contribution 3 1.5 Notation 3 2 System Model 5 2.1 System Model 6 2.2 Precoded GFDM 7 2.3 Channel Matrix 8 2.4 Detector 9 2.4.1 CWCU LMMSE Estimation Formula 9 2.4.2 CWCU LMMSE EStimation Implememtation 11 2.4.3 Transformation from Frequency to Time Domain 14 2.4.4 QAM Demapping 14 2.4.5 Soft QAM Mapping 15 2.4.6 Transformation from Time to Frequency Domain 15 3 Previous Work 17 3.1 CWCU LMMSE Estimation 18 3.2 Effect of Transformation in Detector 19 4 Proposed Method 21 4.1 Proposed Precoder Matrix 22 4.2 Proposed Set of Subsymbol Indices 23 4.3 CWCU LMMSE Procedure and Complexity 27 5 Simulation 28 5.1 Error Performance 29 5.2 Out-of-band Emission 33 5.3 Optimization Problem 35 6 Conclusion and Future Work 36 6.1 Conclusion 37 6.2 Future Work 37 Appendix A 38 Bibliography 42 | - |
dc.language.iso | en | - |
dc.title | 空間多路多輸入多輸出預編碼廣義分頻多工系統下低複雜度最小均方誤差-平行式干擾消除之迭代偵測器 | zh_TW |
dc.title | Low-Complexity Iterative MMSE-PIC Detection for Spatial Multiplexing MIMO Precoded GFDM System | en |
dc.title.alternative | Low-Complexity Iterative MMSE-PIC Detection for Spatial Multiplexing MIMO Precoded GFDM System | - |
dc.type | Thesis | - |
dc.date.schoolyear | 111-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 林源倍;劉俊麟 | zh_TW |
dc.contributor.oralexamcommittee | Yuan-Pei Lin;Chun-Lin Liu | en |
dc.subject.keyword | 預編碼,廣義分頻多工,空間多工,干擾,低複雜度,迭代法, | zh_TW |
dc.subject.keyword | precoding,GFDM,spatial multiplexing,interference,low-complexity,iterative processing, | en |
dc.relation.page | 43 | - |
dc.identifier.doi | 10.6342/NTU202210061 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2022-11-18 | - |
dc.contributor.author-college | 電機資訊學院 | - |
dc.contributor.author-dept | 電信工程學研究所 | - |
dc.date.embargo-lift | 2027-11-01 | - |
顯示於系所單位: | 電信工程學研究所 |
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