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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 葉丙成 | |
| dc.contributor.author | Hsu-Chieh Hu | en |
| dc.contributor.author | 胡煦杰 | zh_TW |
| dc.date.accessioned | 2021-06-15T04:46:05Z | - |
| dc.date.available | 2015-08-16 | |
| dc.date.copyright | 2010-08-16 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-05 | |
| dc.identifier.citation | [1] N. Jindal, “MIMO broadcast channels with finite-rate feedback,” IEEE Trans. Inform. Theory, vol. 52, no. 11, pp. 5045–5060, Nov. 2006.
[2] P. Ding, D. J. Love, and M. D. Zoltowski, “Multiple antenna broadcast channels with shape feedback and limited feedback,” IEEE Trans. Signal Processing, vol. 55, no. 7, pp. 3417–3428, July 2007. [3] D. J. Love, R. W. J. Heath, and T. Strohmer, “Grassmannian beamform- ing for multiple-input multiple-output wireless systems,” IEEE Trans. Inform. Theory, vol. 49, no. 10, pp. 2735–2747, Oct. 2003. [4] K. K. Mukkavilli, A. Sabharwal, E. Erkip, and B. Aazhang, “On beam- forming with finite rate feedback in multiple-antenna systems,” IEEE Trans. Inform. Theory, vol. 49, no. 10, pp. 2562–2579, Oct. 2003. [5] D. J. Ryan, I. V. L. Clarkson, I. B. Collings, D. Guo, and M. L. Honig, “QAM codebooks for low-complexity limited feedback MIMO beam- forming,” in Proc. IEEE Int. Conf. on Commun., June 2007, pp. 4162– 4167. [6] F. Boccardi, H. Huang, and A. Alexiou, “Hierarchical quantization and its application to multiuser eigenmode transmissions for MIMO broadcast channels with limited feedback,” in Proc. IEEE Int. Symp. PIMRC., 2007. [7] L. Liu and H. Jafarkhani, “Novel transmit beamforming schemes for time-selective fading multiantenna systems,” IEEE Trans. Signal Pro- cessing, vol. 54, no. 12, pp. 4767–4781, Dec. 2006. [8] R. W. J. Heath, T. Wu, and A. C. K. Soong, “Progressive refinement of beamforming vectors for high-resolution limited feedback,” EURASIP J. Advance in Signal Processing, June 2009. [9] C. K. Au-Yeung and D. J. Love, “On the performance of random vector quantization limited feedback beamforming in a MISO system,” IEEE Trans. Wireless Commun., vol. 6, no. 2, pp. 458–462, Feb. 2007. [10] D. J. Love and R. W. J. Heath, “Limited feedback unitary precoding for spatial multiplexing systems,” IEEE Trans. Inform. Theory, vol. 51, no. 8, pp. 2967–2976, Aug. 2005. [11] J. C. Roh and B. D. Rao, “Transmit beamforming in multiple-antenna systems with finite rate feedback: A VQ-based approach,” IEEE Trans. Inform. Theory, vol. 52, no. 3, pp. 1101–1112, Mar. 2006. [12] T. Yoo and A. Goldsmith, “On the optimality of multiantenna broad- cast scheduling using Zero-Forcing beamforming,” IEEE J. Sel. Areas Commun., vol. 24, no. 3, pp. 528–541, Mar. 2006. [13] T. Yoo, N. Jindal, and A. Goldsmith, “Multi-antenna downlink channels with limited feedback and user selection,” IEEE J. Sel. Areas Commun., vol. 25, no. 7, pp. 1478–1491, Sept. 2007. [14] N. Ravindran and N. Jindal, “Limited feedback-based block diagonal- ization for MIMO broadcast channel,” IEEE J. Sel. Areas Commun., vol. 26, no. 8, pp. 1473–1482, Oct. 2008. [15] A. Barg and D. Y. Nogin, “Bounds on packings of spheres in the Grass- mann manifold,” IEEE Trans. Inform. Theory, vol. 48, no. 9, pp. 2450– 2454, Sept. 2002. [16] A. Edelman, T. Arias, and S. T. Smith, “The geometry of algorithms with orthogonality constraints,” SIAM J. Matrix Analysis and App., vol. 20, no. 2, pp. 303–353, 1999. [17] P.-A. Absil, R. Mahony, and R. Sepulchre, Optimization Algorithms on Matrix Manifolds. Princeton University Press, 2008. [18] H. A. David and H. N. Nagaraja, Order Statistics. John Wiley & Sons, Inc, 2003. [19] J. Choi and R. W. J. Heath, “Interpolation based transmit beamforming for MIMO-OFDM with limited feedback,” IEEE Trans. Signal Process- ing, vol. 53, no. 11, pp. 4125–4135, Nov. 2005. [20] S. Zhou, Z. Wang, and G. B. Giannakis, “Quantifying the power loss when transmit beamforming relies on finite-rate feedback,” IEEE Trans. Wireless Commun., vol. 4, no. 4, pp. 1948–1957, July 2005. [21] J. Choi, B. Mondal, and R. W. J. Heath, “Interpolation based uni- tary precoding for spatial multiplexing MIMO-OFDM with limited feed- back,” IEEE Trans. Signal Processing, vol. 54, no. 12, pp. 4730–4740, Dec. 2006. [22] L. Zheng and D. N. C. Tse, “Communication on the Grassmann mani- fold: A geometric approach to the noncoherent multiple-antenna chan- nels,” IEEE Trans. Inform. Theory, vol. 48, no. 2, pp. 359–383, Feb. 2002. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45784 | - |
| dc.description.abstract | 在多用戶多輸入多輸出下行系統中,基地台利用通道狀態資訊預編碼信號,使用戶 間干擾可以被消除。利用有限回饋的方式,可以實際使用通道狀態資訊。但是量化 誤差會產生用戶間干擾,進而造成傳輸通量的上限效應。在此論文中,我們提出一 個低複雜度的有限回饋方法,可以提供高解析度的通道狀態資訊而不須建立大碼簿; 這個方法利用鄰近通道矩陣製造出精練的通道狀態資訊。經由模擬結果和效能分析, 我們證實提出的方法得以較小複雜度改善通量上限效應。 | zh_TW |
| dc.description.abstract | In multiuser multiple-input multiple-output downlink (MIMO) systems, base stations precode signals in order to suppress the inter-user interference based on channel state information (CSI). Limited feedback enables the practical use of CSI to achieve this goal. The challenge with limited feedback is that the quantization errors create inter-user interference, which can cause through- put ceilings at high SNR. We propose a low-complexity limited feedback method to provide high resolution instead of constructing a large codebook. The method exploits adjacent channel matrix to create refined CSI. We also utilize it to improve scheduling and support multiple resolution. Through simulation results and performance analysis, we demonstrate that proposed method can improve throughput ceiling with lower complexity. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T04:46:05Z (GMT). No. of bitstreams: 1 ntu-99-R97942049-1.pdf: 1019884 bytes, checksum: c95cf9c289ebacc5dce7fb104f9c4cd1 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 1 Introduction.........1
2 System Model.......6 2.1 Limited Feedback Model ..................... 7 2.2 Linear Processing in Multiuser MIMO ..................... 7 2.3 Quantization Codebook Model.................. 8 2.4 User Scheduling.......................... 9 2.5 Block Diagonalization ...................... 10 3 Adjacent Refinement for MIMO Broadcast Channels.....12 3.1 Geodesic Interpolation ...................... 12 3.2 Adjacent Refinement Algorithm................. 15 3.2.1 Analysis of Proposed Method .............. 16 3.3 Generalization of Algorithm ................... 22 3.3.1 Practical Design...................... 23 3.4 Numerical Results......................... 24 4 Reduced Feedback Design for Adjacent Refinement.....30 4.1 Reduced Feedback Algorithm .................. 31 4.1.1 Adjacent Codewords Mapping.............. 31 4.1.2 Tangent Vector and Phase Parameter Feedback .......... 31 4.2 Analysis of Algorithm ...................... 34 4.3 Numerical Results......................... 37 5 Adjacent Refinement for Block Diagonalization Transmission....44 5.1 Geodesic Interpolation ...................... 45 5.2 Adjacent Refinement Algorithm for Block Diagonalization ... 46 5.3 Numerical Results......................... 48 6 Conclusions and Future Work....53 Appendix A Proof of Lemma 1 .....54 Appendix B Proof of Corollary 2....56 Bibliography....58 | |
| dc.language.iso | en | |
| dc.subject | 排程 | zh_TW |
| dc.subject | 多輸入多輸出廣播通道 | zh_TW |
| dc.subject | 線性逼零成束 | zh_TW |
| dc.subject | 塊狀對角化 | zh_TW |
| dc.subject | 有限回饋系統 | zh_TW |
| dc.subject | 通量上限 | zh_TW |
| dc.subject | MIMO broadcast channels | en |
| dc.subject | scheduling | en |
| dc.subject | throughput ceiling | en |
| dc.subject | limited feedback systems | en |
| dc.subject | block diagonalization (BD) | en |
| dc.subject | zero-forcing beamforming (ZFBF) | en |
| dc.title | 以鄰近量化改善採有限回饋之多輸入多輸出廣播通信品質 | zh_TW |
| dc.title | Adjacent Refinement for Enhancing Limited Feedback in MIMO Broadcast Channels | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳光禎,蘇炫榮,蘇柏青,黃柏嶧 | |
| dc.subject.keyword | 多輸入多輸出廣播通道,線性逼零成束,塊狀對角化,有限回饋系統,通量上限,排程, | zh_TW |
| dc.subject.keyword | MIMO broadcast channels,zero-forcing beamforming (ZFBF),block diagonalization (BD),limited feedback systems,throughput ceiling,scheduling, | en |
| dc.relation.page | 61 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-08-06 | |
| 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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