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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇柏青 | |
| dc.contributor.author | Chih-Chi Chen | en |
| dc.contributor.author | 陳志奇 | zh_TW |
| dc.date.accessioned | 2021-06-15T12:41:55Z | - |
| dc.date.available | 2021-08-02 | |
| dc.date.copyright | 2016-08-02 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-07-26 | |
| dc.identifier.citation | [1] J.G. Andrews et al. What Will 5G Be? 32(6):1065–1082, June 2014.
[2] E. Larsson et al. Massive MIMO for next generation wireless systems. 52(2):186– 195, Feb. 2014. [3] P. Gao, Z. Bai, P. Dong, F. Kong, Y. Su, and K. Kwak. Hybrid TDD Access Scheme with Confidence Factor Based Weighted Cooperative Sensing in Massive MIMO System. In Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd, pages 1–5, Sept 2015. [4] M. Wang and L. M. Davis. Distributed User Selection in Multi-Cell Massive MIMO Systems with Pilot Contamination. In Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd, pages 1–5, Sept 2015. [5] X. Rao and V. K. N. Lau. Distributed Compressive CSIT Estimation and Feedback for FDD Multi-User Massive MIMO Systems. IEEE Transactions on Signal Pro- cessing, 62(12):3261–3271, June 2014. [6] Z. Gao, L. Dai, W. Dai, B. Shim, and Z. Wang. Structured Compressive Sensing- Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO. IEEE Transactions on Communications, 64(2):601–617, Feb 2016. [7] J. Choi, D. J. Love, and P. Bidigare. Downlink Training Techniques for FDD Mas- sive MIMO Systems: Open-Loop and Closed-Loop Training With Memory. IEEE Journal of Selected Topics in Signal Processing, 8(5):802–814, Oct 2014. [8] J. Chen and V. K. N. Lau. Two-Tier Precoding for FDD Multi-Cell Massive MIMO Time-Varying Interference Networks. IEEE Journal on Selected Areas in Commu- nications, 32(6):1230–1238, June 2014. [9] A. Adhikary, J. Nam, J. Y. Ahn, and G. Caire. Joint Spatial Division and Multiplex- ing - The Large-Scale Array Regime. IEEE Transactions on Information Theory, 59(10):6441–6463, Oct 2013. [10] P.W.C.Chan,E.S.Lo,R.R.Wang,E.K.S.Au,V.K.N.Lau,R.S.Cheng,W.H. Mow, R. D. Murch, and K. B. Letaief. The evolution path of 4G networks: FDD or TDD? IEEE Communications Magazine, 44(12):42–50, Dec 2006. [11] 3GPP. Study on Elevation Beamforming/Full-Dimension (FD) MIMO for LTE (Re- lease 13), June 2015. [12] U. Ugurlu, R. Wichman, C. B. Ribeiro, and C. Wijting. A Multipath Extraction- Based CSI Acquisition Method for FDD Cellular Networks With Massive Antenna Arrays. IEEE Transactions on Wireless Communications, 15(4):2940–2953, April 2016. [13] Ming-Fu Tang and Borching Su. Downlink Precoding for Multiple Users in FDD Massive MIMO Without CSI Feedback. Journal of Signal Processing Systems, pages 1–13, 2015. [14] R. B. Ertel, P. Cardieri, K. W. Sowerby, T. S. Rappaport, and J. H. Reed. Overview of spatial channel models for antenna array communication systems. IEEE Personal Communications, 5(1):10–22, Feb 1998. [15] 3GPP. Spatial channel model for Multiple Input Multiple Output (MIMO) simula- tions (V 12.0.0 Release 12), Sept. 2014. [16] J. J. Blanz, A. Papathanassiou, M. Haardt, I. Furio, and P. W. Baier. Smart anten- nas for combined DOA and joint channel estimation in time-slotted CDMA mobile radio systems with joint detection. IEEE Transactions on Vehicular Technology, 49(2):293–306, Mar 2000. [17] WP5: Propagation, antennas and multi-antenna techniques. http://www.miweba. eu/wp-content/uploads/2014/07/MiWEBA_D5.1_v1.011.pdf, 2014. [18] SandraKnorzer,ThomasFugen,andWernerWiesbeck.Ray-tracingformobilecom- munication. http://www.qucosa.de/fileadmin/data/qucosa/documents/ 5521/data/WFMN07_I_B3.pdf. [19] A.O.Kaya,L.J.Greenstein,andW.Trappe.Characterizingindoorwirelesschannels via ray tracing combined with stochastic modeling. IEEE Transactions on Wireless Communications, 8(8):4165–4175, August 2009. [20] Z. Zhang, Z. Yun, and M. F. Iskander. Ray tracing method for propagation models in wireless communication systems. Electronics Letters, 36(5):464–465, Mar 2000. [21] S. Baek, Y. Chang, H. Kim, and A. Agiwal. Comparison analysis of outdoor channel characteristics at 28 ghz and 2 ghz using 3d ray-tracing technique. In 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), pages 1–5, Sept 2014. [22] W-H. Sheen and W-C. Zhuo. Database of ray-tracing channel modeling for the city of Bern, Switzerland. 2015. [23] L.J. Karam and J.H. McClellan. Complex Chebyshev approximation for FIR filter design. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 42(3):207–216, Mar. 1995. [24] J. Brady, N. Behdad, and A. M. Sayeed. Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements. IEEE Transactions on Antennas and Propagation, 61(7):3814–3827, July 2013. [25] V. Tarokh, H. Jafarkhani, and A. R. Calderbank. Space-time block codes from or- thogonal designs. IEEE Transactions on Information Theory, 45(5):1456–1467, Jul 1999. [26] Q. H. Spencer, A. L. Swindlehurst, and M. Haardt. Zero-forcing methods for down- link spatial multiplexing in multiuser MIMO channels. IEEE Transactions on Signal Processing, 52(2):461–471, Feb 2004. [27] S. Zhou and G. B. Giannakis. Optimal transmitter eigen-beamforming and space- time block coding based on channel mean feedback. IEEE Transactions on Signal Processing, 50(10):2599–2613, Oct 2002. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50466 | - |
| dc.description.abstract | 對於頻分多工大規模多輸出多輸入系統而言,因為需要大量的導航訊號以及回傳時間,下行訓練被視為一個不實際的方法。雖然有一些文獻提供了如何減少下性訓練及回傳時間的方法,但是減少的程度是有極限的。最近,部分文獻發現上行通道及下行通道的相似性,而基地台可以經由之前的上行通道測量來得到部分的通道資訊。藉由上行通道及下行通道資訊的相似性,有一些不需要下行訓練及通道資訊回傳的預編碼的方法被提出。在本篇論文中,我們提出了一個利用多路徑通道的多樣性且不需要通道資訊回傳的下行預編碼方法。更準確的說,我們利用部分通道資訊並應用空間時間區塊碼來加強下行傳輸的可靠性。實驗結果顯示,我們提出的方法只需要部分通道資訊且可以達到令人滿意的表現。 | zh_TW |
| dc.description.abstract | For a massive multiple-input-multiple-output (MIMO) system operated under frequency-division duplex (FDD), downlink training was usually considered impractical due to huge amount of pilot signals and feedback overhead. Although some efforts have been spent to reduce such an overhead in recent works, the reduction is still limited. More recently, some precoding methods that do not require downlink training and channel state information (CSI) feedback have been proposed by recognizing some similarity between uplink and downlink channels. The base station may take advantage of such similarity and acquire partial knowledge of the downlink channels using previous uplink channel estimates. In this thesis, we propose to further exploit the diversity of a multipath channel in a downlink precoding method without CSI feedback. Specifically, space-time block code (STBC) is applied to enhance the robustness of downlink transmission based on the partial CSI at the transmitter (CSI-T). Simulation results suggest that the proposed method achieves a competitive performance to other methods with only the partial CSI-T. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T12:41:55Z (GMT). No. of bitstreams: 1 ntu-105-R03942034-1.pdf: 1478342 bytes, checksum: 8339c59f75d8eaf4cc44c64f92ae43d6 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii Contents iv List of Figures vi List of Tables vii 1 Introduction 1 1.1 Background................................. 2 1.2 RelatedWorks................................ 2 1.3 Motivation.................................. 4 2 System Model 6 2.1 SystemModel................................ 7 2.2 ChannelModel ............................... 8 2.2.1 Simplified Spatial Channel Model (Simplified SCM model) . . . 10 2.2.2 Ray-TracingChannelModel.................... 11 2.3 ProblemStatement ............................. 11 3 Proposed Precoding Method 13 3.1 Path-basedPrecodingSTBC(P-STBC) .................. 14 3.2 Space-TimeBlockcode(STBC) ...................... 16 3.3 Precoding Vectors Design: Parks–McClellan method . . . . . . . . . . . 18 3.3.1 FIR Filter Design method: Generalized Parks–McClellan method 18 3.3.2 PrecodingVectorsDesign ..................... 22 3.3.3 Summary of the Proposed Precoding of PM methods Scheme . . 23 3.4 PrecodingVectorsDesign:BeamspaceMethod . . . . . . . . . 24 3.4.1 Summary of the Proposed Precoding of Beamspace methods Scheme 25 4 Simulation result 27 4.1 SimulationResultsOfSimplifiedSCMModel . .. . . . . . . . 28 4.1.1 SimulationParameters ....................... 28 4.1.2 Related Method: Block Diagonalization Method . . . . . . . . . 28 4.1.3 SimulationResults ......................... 29 4.2 Simulation Results Of Ray-Tracing Channel Model . . . . . . . . . . . . 33 4.2.1 SimulationParameters ....................... 33 4.2.2 SimulationResults ......................... 34 5 Conclusion 40 Bibliography 42 | |
| dc.language.iso | en | |
| dc.subject | 波束成型 | zh_TW |
| dc.subject | 巨量天線系統 | zh_TW |
| dc.subject | 頻率分工 | zh_TW |
| dc.subject | 免除通道資訊回授 | zh_TW |
| dc.subject | 空時分組碼 | zh_TW |
| dc.subject | 巨量天線系統 | zh_TW |
| dc.subject | 頻率分工 | zh_TW |
| dc.subject | 波束成型 | zh_TW |
| dc.subject | 免除通道資訊回授 | zh_TW |
| dc.subject | 空時分組碼 | zh_TW |
| dc.subject | FDD | en |
| dc.subject | Massive MIMO | en |
| dc.subject | FDD | en |
| dc.subject | Beamforming | en |
| dc.subject | No CSI feedback | en |
| dc.subject | STBC | en |
| dc.subject | Beamforming | en |
| dc.subject | STBC | en |
| dc.subject | No CSI feedback | en |
| dc.subject | Massive MIMO | en |
| dc.title | 在頻率分工巨量天線系統中免除通道資訊回授之通道路徑預編空時分組碼 | zh_TW |
| dc.title | Downlink Path-Based Precoding Space-Time Block Code in FDD Massive MIMO Systems Without CSI Feedback | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 魏宏宇,馮世邁,蘇炫榮,錢膺仁 | |
| dc.subject.keyword | 巨量天線系統,頻率分工,波束成型,免除通道資訊回授,空時分組碼, | zh_TW |
| dc.subject.keyword | Massive MIMO,FDD,Beamforming,No CSI feedback,STBC, | en |
| dc.relation.page | 45 | |
| dc.identifier.doi | 10.6342/NTU201601433 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-07-27 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位: | 電信工程學研究所 | |
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