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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李學智(Hsueh-Jyh Li) | |
| dc.contributor.author | Hui-Ping Huang | en |
| dc.contributor.author | 黃慧萍 | zh_TW |
| dc.date.accessioned | 2021-06-13T15:27:34Z | - |
| dc.date.available | 2008-07-26 | |
| dc.date.copyright | 2008-07-26 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-17 | |
| dc.identifier.citation | [1] Bertrand Muquet, Zhengdao Wangm Georgios B. Giannakis, Marc de Courville, and Pierre Duhamel, “Cyclic Prefixing or Zero Padding for Wireless Multicarrier Transmissions?”, IEEE Trans. On Comm., vol.50, No. 12, December 2002, pp2136-2148
[2] Erik G. Larsson and Petre Stoica, Space-Time Block Coding for Wireless Communications. Cambridge University Press, 2003 [3] David Tse and Pramod Viswanath, Fundamentals of Wireless Communication. New York: Cambridge University Press, 2005 [4] Richard van Nee and Ramjee Prasad, OFDM for Wireless Multimedia Communications. Boston•London: Artech House, 2000 [5] Hamid Reza Bahrami and Tho Le-Ngoc, “ Eigenstructures of MIMO Fading Channel Correlation Matrices and Optimum Linear Precoding Designs for Maximum Ergodic Capacity”, EURASIP Journal on Advances in Signal Processing, Volume 2007, Article ID 29749, 9 pages [6] Geert Leus, Claude Simon and Nadia Khaled, “Spatial Multiplexing with Linear Precoding in Time-Varying Channels with Limited Feedback” [7] Thomas Keller and Lajos Hanzo, “Adaptive Modulation Techniques for Duplex OFDM Transmission”, IEEE Transactions Technology, vol. 49, No. 5, September 2000, pp. 1893-1906 [8] J. Torrance and L. Hanzo, “Optimization of Switching Levels for Adaptive Modulation in Slow Rayleigh Fading”, Electron. Lett., vol. 32, pp. 1167-1169, June 20th, 1996 [9] Tricia J. Willink and Pual H. Wittke, “Optimization and Performance Evaluation of Multicarrier Transmission”, IEEE Transactions on Information Theory, Vol. 43, No. 2, March 1997, pp. 426-440 [10] Cheong Yui Wong, Roger S. Cheng, Khaled Ben Letaief, and Ross D. Murch, “Multiuser OFDM with Adaptive Subcarrier, Bit, and Power Allocation”, IEEE Journal on Selected Areas in Communications, Vol. 17, No. 10, pp. 1747-1758, October 1999 [11] Keven H Lin, Seedahmed S. Mahmoud, and Zahir M. Hussain, “Space-Time Block Coded OFDM with Adaptive Modulation and Transmitter Beamforming”, IEEE GLOBECOM 2005 proceddings, pp. 3487-3492 [12] Pengfei Xia, Shengli Zhou, and Georgios B. Giannakis, “Adaptive MIMO-OFDM Based on Partial Channel State Information”, IEEE Transactions on signal processing, Vol. 52, No. 1, January 2004 [13] Zukang Shen, Robert W. Heath, Jr., Jeffrey G. Andrews, and Brian L. Evans, “Comparison of Space-Time Water-filling and Spatial Water-filling for MIMO Fading Channels”, [14] Wei Yu and John M. Cioffi, “Constant-Power Waterfilling: Performance Bound and Low-Complexity Implementation”, IEEE Trans. On Comm., vol. 54, No. 1, January 2006, pp.23-28 [15] Alberto Suarez Real, “Robust Waterfilling Strategies for the fading Channel”, INRIA Effect of Channel Correlation: [16] Da-Shan Shiu, Gerard J. Foschini, Michael J. Gans and Joseph M. Kahn, “Fading Correlation and Its Effect on the Capacity of Multielement Antenna Systems, IEEE Transactions on Communications, vol. 48, No. 3, March 2000, pp. 502-513 [17] S.X. Ng, B. L. Yeap and L. Hanzo, “Full-Rate, Full-Diversity Adaptive Space Time Block Coding for Transmission over Rayleigh Fading Channels”, [18] F. Sarabchi, and M.E. Kalantari, “Space Time Processing with Adaptive STBC-OFDM Systems”, Proceedings of World Academy of Science, Engineering and Technology, vol.13, May 2006, ISSN1307-6884, pp303-307 [19] Li Lihua, Guo Zhiheng, Tao Xiaofeng, Zhang Ping, “ SFBC-AOFDM Scheme in Fast and Frequency Selective Fading Scenarios”, The 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communication Proceedings, pp. 1949-1953 [20] Mohammad Torabi and M. Reza Soleymani, “ Adaptive Bit Allocation for Space-Time Block Coded OFDM Systems”, ICASSP 2003, pp. IV-409-IV-412 [21] Jun Wang, Oliver Yu Wen, Shaoqian Li and Roger Suu Kwan Cheng, “Capacity of Alamouti Coded OFDM Systems in Time-Varying Multipath Rayleigh Fading Channels”, IEEE 2006, pp. 1923-1927 [22] Kevin H. Lin, Seedahmed S. Mahmoud, and Zahir M. Hussain, “Adaptive Mudulation with Space-Time Block Coding for MIMO-OFDM Systems”, 2005 IEEE, Proceeding of the third International Conference on Inforamtion Technology and Applications (ICITA’05) [23] Mohammad Torabi, Sonia Aissa, M. Reza Soleymani, “MIMO-OFDM Systems with Imperfect Channel Information: Capacity, Outage and BER Performance”, IEEE Communications, vol. 12, June 2006, pp. 5342-5347 [24] Eunseok Ko, and Daesik Hong, “A Robust STBC-Based Transmit Diversity Scheme for OFDM Systems over Spatial Transmit Correlated Fading Channels”, IEEE Transaction on Vehicular Technology, Vol. 56, No. 2, March 2007, pp. 984-991 [25] Tong-Hooi Liew and Lajos Hanzo, “Space-Time Trellis and Space-Time Block Coding Versus Adaptive Modulation and Coding Aided OFDM for Wideband Channels”, IEEE Transactions on Vehicular Technology, Vol. 55, No. 1, January 2006, pp. 173-187 [26] Chow, P.S., Cioffi, J.M. and Bingham, J.A.C.,” A Practical Discrete Multitone Transceiver Loading Algorithm for Data Transmission over Spectrally Shaped Channels”, IEEE Trans. On Comm., Vol. 43, Feb. 1995, pp. 773-775 [27] Mohamed Tlich, Jean-Claude Belfiore, and Ahmed Zeddam, “Optimization Process of Power Distribution for a Frequency Multiplexing DMT Transmission” [28] Victor P. Gil Jimenez, Majulia Fenandez-Getino Garcia and Ana Garcia Armada, “ Channel Estimation for Bit-Loading in OFDM-Based WLAn”, IEEE IssPIT 2002, Marrakesh, pp. 581-585 [29] users.ece.utexas.edu/~jandrews/molabview.html [30] T. S. Rapaport, Wireless Communications : Principles and Practice, 2 ed: Prentice Hall PTR, 2002. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37421 | - |
| dc.description.abstract | 傳統用於多載波系統的一維注水演算法僅考慮在頻率上依據不同子載波遭遇通道之特性調整功率配置，然而當多輸入多輸出系統與正交分頻多工系統結合時，傳輸路徑上的差異可能更勝於頻率選擇的效應，因此空間上的多樣性也應做為功率配置的考量，以利通道容量最大化。
在本論文中，我們基於一維之注水原理，於具相關性之通道下針對多輸入多輸出正交分頻多工系統上提出二維注水方法及實際功率配置方法。經由模擬證明在具相關性通道下，二維注水功率配置比一維注水配置法更能有效提升通道容量和降低錯誤率。我們亦證明此二維注水方法適用於具不同傳送和接收天線個數之多輸入輸出正交分頻多工系統中。 | zh_TW |
| dc.description.abstract | Conventional one-dimension waterfilling algorithm adopted on a multicarrier system adjusts the power allocation according to the channel state information in the frequency domain. However, for a MIMO-OFDM system, the divergence caused by different spatial propagation paths may surpass the effect caused by the frequency selective fading. For this reason, we optimize the channel capacity by re-allocating the total power at both the spatial and frequency domain in this thesis.
Based on one-dimension waterfilling algorithm, we propose the two-dimension waterfilling method on the MIMO-OFDM system over the correlated channels. We prove that the 2-D waterfilling achieve higher channel capacity and better BER performance than the 1-D waterfilling. Besides, the proposed method is applicable for MIMO-OFDM systems with the arbitrary transmit or receive antennas. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T15:27:34Z (GMT). No. of bitstreams: 1 ntu-97-P94942007-1.pdf: 931909 bytes, checksum: 985cab7b74c73e4a3b2746dab8191e15 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | Chapter 1、 Introduction 1
1.1 Background and Motivation 1 1.2 Literature Survey 3 1.3 Organization of this Thesis 4 Chapter 2、 Adaptive Modulation in SISO-OFDM System 5 2.1 SISO CP-OFDM in the Frequency Selective Fading Channel 6 2.2 Adaptive Modulation in the SISO OFDM 9 2.2.1 Fixed threshold 12 2.2.2 Greedy 14 2.2.3 Lookup Matrix- Adaptive Bit and Power Allocation (LM-ABPA) 15 2.2.4 Waterfilling Power Allocation Algorithm 17 2.2.5 Bit Loading Algorithm 21 Chapter 3、 Alamouti Coded MIMO-OFDM Systems in Correlated Channel 25 3.1 Introduction of MIMO-OFDM 26 3.2 Alamouti Coded OFDM Systems (OSTBC-OFDM & OSFBC-OFDM) 29 3.2.1 Alamouti Scheme 29 3.2.2 Alamouti-coded STBC/SFBC-OFDM 31 3.2.3 Simulation example of STBC-OFDM and SFBC-OFDM 36 3.3 The MIMO Correlated Channel Model 41 3.3.1 MIMO i.i.d. & Correlated Channel Model 41 3.3.2 STBC-OFDM under the Correlated Channel 44 Chapter 4、 Adaptive modulated STBC-OFDM by using Waterfilling algorithm 46 4.1 1D beamformer with waterfilling on STBC-OFDM 47 4.2 Proposed 2D beamformer with waterfilling on STBC-OFDM 49 4.3 Capacity Analysis of Pre-coded STBC-OFDM 53 4.4 Simulation Results 55 4.4.1 The channel capacity of the STBC-OFDM with 1-D & 2D Waterfilling 55 4.4.2 BER Performance and Throughput 59 4.5 Summary 65 Chapter 5、 Conclusion 66 Reference 67 | |
| dc.language.iso | en | |
| dc.subject | 二維注水演算法 | zh_TW |
| dc.subject | 適應性調變 | zh_TW |
| dc.subject | 空時碼正交分頻多工 | zh_TW |
| dc.subject | ASTBC-OFDM | en |
| dc.subject | adaptive modulation | en |
| dc.subject | waterfilling | en |
| dc.subject | 2D beamforming | en |
| dc.title | 相關通道下二維注水演算法適應性調變空時碼正交分頻多工系統 | zh_TW |
| dc.title | 2-D Waterfilling ASTBC-OFDM over Spatial Correlated Fading Channels | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 李啟民(Chi-Min Li) | |
| dc.contributor.oralexamcommittee | 林丁丙(Ding-Bing Lin) | |
| dc.subject.keyword | 二維注水演算法,適應性調變,空時碼正交分頻多工, | zh_TW |
| dc.subject.keyword | waterfilling,adaptive modulation,ASTBC-OFDM,2D beamforming, | en |
| dc.relation.page | 70 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2008-07-17 | |
| 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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