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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蘇炫榮(Hsuan-Jung Su) | |
dc.contributor.author | Hai-Han Wang | en |
dc.contributor.author | 汪海瀚 | zh_TW |
dc.date.accessioned | 2021-06-16T06:34:41Z | - |
dc.date.available | 2017-08-08 | |
dc.date.copyright | 2014-08-08 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-04 | |
dc.identifier.citation | [1] “Multimedia broadcast/multicast service (MBMS); architecture and
functional description,” Technical Specification Group Services and System Aspects, Tech. Rep. TS 23.246 v6.10.0, Jun. 2006. [2] IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems, IEEE Std. 802.16, 2009. [3] N. D. Sidiropoulos, T. N. Davidson, and Z.-Q. Luo, “Transmit beamforming for physical-layer multicasting,” IEEE Trans. Signal Process., vol. 54, no. 6, pp. 2239–2251, Jun. 2006. [4] A. Lozano, “Long-term transmit beamforming for wireless multicasting,” in IEEE International Conference on Acoustics, Speech and Signal Processing., Honolulu, HI, Apr. 2007. [5] E. Karipidis, N. D. Sidiropoulos, and Z.-Q. Luo, “Quality of service and max-min fair transmit beamforming to multiple cochannel multicast groups,” IEEE Trans. Signal Process., vol. 56, no. 3, pp. 1268–1279, Mar. 2008. [6] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge: U.K.: Cambridge Univ. Press, 2004. [7] S. Zhang and Y. Huang, “Complex quadratic optimization and semidefinite programming,” vol. 16, no. 3, pp. 871–890, Jan. 2006. [8] A. B. Gershman, N. D. Sidiropoulos, S. Shahbazpanahi, M. Bengtsson, and B. Ottersten, “Convex optimization-based beamforming,” IEEE Signal Process. Mag., vol. 27, no. 3, pp. 62–75, May 2010. [9] J. F. Sturm, “Using sedumi 1.02, a matlab toolbox for optimiza- tion over symmetric cones,” Optim. Methods Softw., Tech. Rep., 1999. [10] Z. Xiang, M. Tao, and X. Wang, “Coordinated multicast beamforming in multicell networks,” IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 12–21, Jan. 2013. [11] S.-Y. Liao, “Multicell multicast with coordinated beamforming and power allocation,” Master’s thesis, National Taiwan University, Taipei, Taiwan, 2013. [12] M. J. Lopez, “Multiplexing, scheduling, and multicasting strategies for antenna arrays in wireless networks,” Ph.D. dissertation, Massachusetts Instittute of Technology, Cambridge, Aug. 2002. [13] V. Ntranos, N. D. Sidiropoulos, and L. Tassiulas, “On multicast beamforming for minimum outage,” IEEE Trans. Wireless Commun., vol. 8, no. 6, pp. 3172 – 3181, Jun. 2009. [14] T.-H. Chang, Z.-Q. Luo, and C.-Y. Chi, “Approximation bounds for semidefnite relaxation of max-min-fair multicast transmit beamforming problem,” IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3932 – 3943, Aug. 2008. [15] A. Schad and M. Pesavento, “Max-min fair transmit beamforming for multi-group multicasting,” in IEEE International ITG Workshop on Smart Antennas (WSA), Dresden, Mar. 2012, pp. 115–118. [16] Y. Huang and D. P. Palomar, “Rank-constrained separable semidefinite programming with applications to optimal beamforming,” IEEE Trans. Signal Process., vol. 58, no. 2, pp. 664 – 678, Feb. 2010. [17] Z.-Q. Luo, W.-K. Ma, A. M.-C. So, Y. Ye, and S. Zhang, “Semidefinite relaxation of quadratic optimization problems,” IEEE Signal Process. Mag., vol. 27, no. 3, pp. 20–34, May 2010. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57089 | - |
dc.description.abstract | This thesis considers a joint beamforming design problem in the multicell multicast system with multiple groups that provide different multicast services using the same time-frequency resource. By jointly design beamforming vectors among
cooperative cells, the worst received signal-to-interference-plus-noise-ratio (SINR) of all serving users in the multiple multicast groups can be improved. Inspired by previous works in the literature, we apply semidefinite relaxation (SDR) technique to perform joint beamforming design among the cooperating base stations. Per-cell power constraints are considered which makes solving the problem challenging. We propose two algorithms to accommodate the per-cell power constraints while performing joint beamforming. Simulation results show that the proposed algorithms provide better performance compared to the existing multicast methods in the multicell environment. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T06:34:41Z (GMT). No. of bitstreams: 1 ntu-103-R01942071-1.pdf: 1248287 bytes, checksum: a97f3e022605fabfe2f73ca888b284fc (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 1 Introduction 1
2 System Model and Problem Formulations 5 2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Problem Formulations . . . . . . . . . . . . . . . . . . . . . . 7 3 Proposed Algorithm 9 3.1 Semidefinite Relaxation-Based Algorithm . . . . . . . . . . . . 9 3.2 Gaussian Randomization Method . . . . . . . . . . . . . . . . 13 3.3 Special Case . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 4 Approximation Improvement 22 5 Simulation Results 27 6 Conclusions 34 | |
dc.language.iso | en | |
dc.title | 多細胞群播廣播系統中多群組群播結合式集波束設計 | zh_TW |
dc.title | Joint Beamforming for Multicell Multigroup Multicast with Per-cell Power Constraints | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蘇柏青(Borching Su),林士駿(Shih-Chun Lin) | |
dc.subject.keyword | 群播,結合式集波束,最佳化設計,半正定規劃,最小平衡值, | zh_TW |
dc.subject.keyword | Multicast,joint beamforming,convex optimization,semidefinite relaxation,minimum balanced level, | en |
dc.relation.page | 38 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-04 | |
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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