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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/29953
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dc.contributor.advisor蘇炫榮
dc.contributor.authorYu-Han Yangen
dc.contributor.author楊育翰zh_TW
dc.date.accessioned2021-06-13T01:27:02Z-
dc.date.available2008-07-27
dc.date.copyright2007-07-27
dc.date.issued2007
dc.date.submitted2007-07-15
dc.identifier.citation[1] H.-J. Su and E. Geraniotis, “Maximum signal-to-noise array processing for spacetime coded systems”, IEEE Trans. Comm., vol. 50, pp. 1419-1422, Sep. 2002.
[2] H. L. Van Trees, Detection, Estimation and Modulation Theory, Part IV: Optimum Array Processing, New York: John Wiley and Sons Inc., 2002.
[3] A. Bourdoux and N. Khaled, “Joint TX-RX optimisation for MIMO-SDMA based on a null-space constraint,” in Proc. of IEEE Vehicular Technology Conference (VTC-02 Fall), Vancouver, Canada, pp. 171-174, Sept. 2002.
[4] L.-U. Choi and R. D. Murch, “A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach,” IEEE Trans. On Wireless Communications, Vol. 3, No. 1, pp. 2-24, Jan. 2004.
[5] Q. H. Spencer, A. L. Swindlehurst and M. Haardt, “Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels,” IEEE Trans. On Signal Processing, Vol. 52, No. 2, pp. 461-471, Feb. 2004.
[6] D. P. Palomar, J. M. Cioffi, and M. A. Lagunas. “Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization,”IEEE Trans. On Signal Processing, Vol. 51, No. 9, pp. 2381-2401, Sep. 2003.
[7] A. J. Tenenbaum and R. S. Adve, “Joint multiuser transmit-receive optimization using linear processing,” in Proc. 2004 IEEE international Communications Conference, vol. 1, pp. 588-592, June 2004.
[8] R. Doostnejad, T. J. Lim, and E. Sousa, “Joint precoding and beamforming design for the downlink in a multiuser MIMO system,” in Proceedings of the IEEE
Intl Conf. Wireless and Mobile Computing, Networking and Comms. (WiMob), Montreal, Canada, Aug. 2005.
[9] J. Zhang, Y. Wu, S. Zhou, and J. Wang, “Joint linear transmitter and receiver design for the downlink of multiuser MIMO systems,” IEEE Communication Letters, Vol. 9, No. 11, pp. 991-993, Nov. 2005.
[10] M. Schubert and H. Boche, “Solution of the multiuser downlink beamforming problem with individual SINR constraints,” IEEE Trans. On Vehicular Technology, vol. 53, no. 1, pp. 18-28, Jan. 2004.
[11] A. Khachan, A. Tenenbaum and R. S. Adve, “Linear processing for the downlink in multiuser MIMO systems with multiple data streams”, IEEE International Conf. on Communications, Jun. 2006.
[12] H. Boche and M. Schubert, “A general duality theory for uplink and downlink beamforming,” in Proc. Of IEEE Vehicular Technology Conference (VTC-02 Fall), 2002.
[13] W. Yang and G. Xu, “Optimal downlink power assignment for smart antenna systems,” Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc. (ICASSP), May 1998.
[14] J. Zander, “Performance of optimum transmitter power control in cellular radio systems,” IEEE Trans. Veh. Technol., vol. 41, pp. 57-62, Feb. 1992. [15] J. Zander and M. Frodigh, “Comment on performance of optimum transmitter
power control in cellular radio systems,” IEEE Trans. Veh. Technol., vol. 43, pp. 636, Aug. 1994.
[16] H. Boche and M. Schubert, “Optimal multi-user interference balancing using transmit beamforming,” Wireless Personal Communications (WPC), 2003.
[17] M. Schubert and H. Boche, “A unifying theory for uplink and downlink multiuser beamforming,” in Proc. IEEE Intern. Zurich Seminar, Switzerland, July 2002.
[18] D. Tse and P. Viswanath, “Downlink-uplink duality and effective bandwidths,”in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Lausanne, Switzerland, July 2002.
[19] N. Jindal, S. Vishwanath, and A. Goldsmith, “On the duality of Gaussian multiple-access and broadcast channels,” IEEE Trans. on Information Theory, vol. 50, no. 5, pp. 768-783, May 2004.
[20] N. Jindal, W. Rhee, S. Vishwanath, and S. A. Jafar, “Sum power iterative water-filling for multi0antenna gaussian broadcast channels,” IEEE Trans. On Infomation Theory, Vol. 51, No. 4, April 2005.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/29953-
dc.description.abstract在此一論文中,我們解決了多用戶多輸入多輸出下傳波束成形的問題。發射機是一個多天線的基站廣播給用戶。每個用戶都可以以多重天線接收。我們提出一個具訊號干擾雜訊比和功率分配的聯合收發波束成形下傳多用戶多輸入多輸出系統的解決辦法。波束成形的過濾器是一個利用集團內部合作的最大訊號干擾雜訊比的濾波器。利用它們之間的上傳下傳偶性,所提出的演算法迭代地計算收發波束成形過濾器和功率分配矩陣。zh_TW
dc.description.abstractIn this work we aim to solve the multiuser MIMO downlink
beamforming problem. The transmitter is a multiantenna
base-station broadcasting to users. Each user may have multiple antennas at the receiver. A solution to the joint transmit-receive beamforming and power allocation under SINR constraints in the downlink of multiuser MIMO systems is proposed. The beamforming filter is a maximum SINR filter which exploits the intra-group cooperation. Taking advantage of the uplink-downlink duality property, the proposed algorithm iteratively compute the transmit-receive beamforming filters and the power allocation matrix.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T01:27:02Z (GMT). No. of bitstreams: 1
ntu-96-R94942109-1.pdf: 437090 bytes, checksum: 5382bfce2bb11fb8975d212c82f6bbec (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents1 Introduction 3
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2 PreviousWork . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2 System Model and Problem Formulation 6
2.1 SystemModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 ProblemFormulation . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3 Maximum SINR Beamforming 11
4 Power Allocation Strategies 14
4.1 Group Power Allocation . . . . . . . . . . . . . . . . . . . . . . . . . 14
4.1.1 SumPower Constraint . . . . . . . . . . . . . . . . . . . . . . 15
4.1.2 Power Minimization . . . . . . . . . . . . . . . . . . . . . . . 19
4.2 Antenna Power Allocation . . . . . . . . . . . . . . . . . . . . . . . . 20
4.2.1 Power Minimization . . . . . . . . . . . . . . . . . . . . . . . 21
4.2.2 SumPower Constraint . . . . . . . . . . . . . . . . . . . . . . 22
5 Simulation Results 26
6 Conclusion 30
Bibliography 31
dc.language.isoen
dc.subject波束成形zh_TW
dc.subject多輸入多輸出zh_TW
dc.subjectBeamformingen
dc.subjectMIMOen
dc.title具訊號干擾雜訊比限制之多用戶多輸入多輸出下傳波束成形技術zh_TW
dc.titleMultiuser MIMO Downlink Beamforming with SINR Constraintsen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林茂昭,李學智,葉丙成
dc.subject.keyword多輸入多輸出,波束成形,zh_TW
dc.subject.keywordMIMO,Beamforming,en
dc.relation.page33
dc.rights.note有償授權
dc.date.accepted2007-07-17
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
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