Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  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/123456789/65748
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蘇炫榮
dc.contributor.authorChun-Hao Yehen
dc.contributor.author葉峻豪zh_TW
dc.date.accessioned2021-06-17T00:10:59Z-
dc.date.available2017-07-19
dc.date.copyright2012-07-19
dc.date.issued2012
dc.date.submitted2012-07-13
dc.identifier.citation[1] 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.
[2] Y.-H. Yang, S.-C. Lin, and H.-J. Su, “Multiuser mimo downlink beamforming design based on group maximum sinr filtering,” IEEE Trans. On Signal Processing, vol. 59, no. 4, pp. 1746 – 1758, April. 2011.
[3] C. Suh, M. Ho, and D. N. C. Tse, “Downlink interference alignment,” IEEE Trans. on Communications, vol. 59, no. 9, pp. 2616 – 2626, Sept.
2011.
[4] Q. Shi, M. Razaviyayn, Z. Luo, and C. He, “An iteratively weighted mmse approach to distributed sum-utility maximization for a mimo interfering broadcast channel,” IEEE Trans. on Signal Processing, vol. 59, no. 9, pp. 4331 – 4340, Sept. 2011.
[5] H.-J. Su and E. Geraniotis, “Maximum signal-to-noise ratio array processing for space-time coded systems,” IEEE Trans. on Communications, vol. 50, no. 8, pp. 1419 – 1422, Sep. 2002.
[6] H. Boche and M. Schubert, “A general duality theory for uplink and downlink beamforming,” in Proc. Of IEEE Vehicular Technology Conference (VTC-02 Fall), vol. 1, pp. 87 – 91, Dec. 2002.
[7] D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University, 2005.
[8] D. W. H. Cai, T. Q. S. Quek, and C. W. Tan, “Coordinated max-min sir optimization in multicell downlink - duality and algorithm,” IEEE Int. Conf. on Commun.(ICC), pp. 1 – 6, June 2011.
[9] W. Yang and G. Xu, “Optimal downlink power assignment for smart antenna systems,” in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc. (ICASSP), vol. 6, pp. 3337 – 3340, May 1998.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65748-
dc.description.abstract在下一代通信系統,為了去最大限度地提高頻譜效率而考慮使用頻率複用係數等於一,侵略性的細胞間干擾將嚴重的降低在細胞邊緣的效能。在多細胞的多輸入多輸出(MIMO)下行蜂巢式系統裡,為了細胞邊緣的用戶,我們提出協調波束形成(CB)的演算法去抑制細胞間嚴重的干擾。從實際系統的觀點,只需要對實際現存蜂巢式系統的演算法做些微的修正,就能夠分散地實現我們提出的協調波束形成演算法。雖然我們透過基地台之間的合作去對抗細胞間的干擾,但是在我們提出的協調波束形成演算法中並不需要基地台之間的後端交換傳輸,也不需要用戶端去估計干擾源的通道。主要設計的概念是,從用戶端獲得細胞間干擾的訊息,然後反覆地調整發送端/接收端的波束形成去避開彼此的細胞間干擾。此外,為了減少用戶的回授量,白化濾波器被用在用戶端去預先處理細胞間干擾,而且我們也已經證明,在用戶端新增白化濾波器並不會改變我們使用的性能指標。 除了提出協調波束形成演算法,我們還討論幾種方法藉由支付額外的代價去進一步提升性能。模擬結果驗證了多細胞協調傳輸的優勢和與其他現有的演算法做比較。zh_TW
dc.description.abstractThe cell-edge performance would be extremely degraded by the aggressive inter-cell interference when the frequency reuse factor of one is considered to maximize the spectral efficiency in next-generation communication systems. In multi-cell multi-input multi-output (MIMO) downlink cellular system, we propose the coordinated beamforming (CB) algorithms to suppress the serious inter-cell interference. Although we combat the out-of-cell interference through the cooperation between base stations (BSs), the backhaul-exchange between BSs and the estimation of interference-channels at user-end are not required in the proposed CB. From the viewpoint of practical systems, the proposed CB could be distributively implemented with only little revision to practical existing algorithms in cellular systems. The main idea is to obtain the inter-cell interference information at user-end and then iteratively adjust the transmit/receive beamformings to avoid the interference with one another. Besides, in order to reduce the feedback overhead of users, the whitening filter is considered to pre-process the inter-cell interference information at user-end, and we have proven that the adopted performance metric would not be changed by adding the whitening filter in user-end. In addition to proposed CB, we propose several methods to further improve the performance by paying additional costs. The simulation results verify the benefit of multi-cell coordinated transmission and compare the proposed schemes with other existing algorithms.en
dc.description.provenanceMade available in DSpace on 2021-06-17T00:10:59Z (GMT). No. of bitstreams: 1
ntu-101-R99942036-1.pdf: 29397991 bytes, checksum: 8c5a155a19345ef7503dae58909d1eae (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents1 Introduction (p.1)
2 System Model and Problem Formulation (p.6)
2.1 Notation (p.6)
2.2 System Model (p.6)
2.3 Problem Formulation (p.12)
2.4 Average SINR Criterion (p.16)
3 Distributed Iterative Methods (p.18)
3.1 Whitening Filter (p.20)
3.2 Coordinated Beamforming (CB) (p.22)
3.2.1 Group Maximum SINR Filter Bank (p.22)
3.2.2 Uplink-Downlink Duality (p.25)
3.3 Power Allocation (p.29)
3.3.1 Balancing structure for group power allocation (p.31)
3.3.2 QoS-oriented group power allocation for CB (p.34)
3.3.3 Rate-oriented group power allocation for CB (p.42)
3.4 Off-line Mechanism (p.45)
4 Further Improvements (p.48)
4.1 Joint Processing (JP) (p.50)
4.1.1 Weighted Power Constraint (p.50)
4.1.2 QoS-oriented group power allocation for JP (p.52)
4.1.3 Rate-oriented group power allocation for JP (p.55)
4.2 Adaptive Power Constraints (p.57)
4.3 Per-stream Power Allocation (p.60)
4.3.1 Balancing structure for per-stream power allocation (p.60)
4.3.2 QoS-oriented per-stream power allocation for CB (p.62)
4.3.3 Rate-oriented per-stream power allocation for CB (p.69)
5 Comparison with Other Algorithms (p.72)
5.1 Downlink Interference Alignment (p.72)
5.2 Iteratively Weighted MMSE Approach (p.77)
5.3 Complexity, Estimation Load, and Feedback Overhead Comparison (p.82)
6 Simulation (p.86)
6.1 Simulation Setting (p.87)
6.2 Simulation Results (p.87)
6.2.1 Performance (p.88)
6.2.2 Iterative Times (p.91)
6.2.3 Convergence Probability (p.95)
7 Conclusions (p.99)
Appendices
A Proof of Whitening Filter (p.101)
dc.language.isozh-TW
dc.subject多輸入多輸出zh_TW
dc.subject協調波束形成zh_TW
dc.subject多點協調zh_TW
dc.subject細胞間的干擾zh_TW
dc.subject多細胞zh_TW
dc.subject細胞邊緣zh_TW
dc.subject回授量zh_TW
dc.subjectcell-edgeen
dc.subjectCoMPen
dc.subjectMIMOen
dc.subjectcoordinated beamformingen
dc.subjectfeedbacken
dc.subjectmulti-cellen
dc.subjectinter-cell interferenceen
dc.title回授量降低之多細胞合作式傳輸zh_TW
dc.titleReduced-Feedback Multi-cell Coordinated Transmissionen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee蘇育德,李佳翰,蘇柏青,林秉勳
dc.subject.keyword多細胞,多點協調,多輸入多輸出,協調波束形成,回授量,細胞邊緣,細胞間的干擾,zh_TW
dc.subject.keywordmulti-cell,CoMP,MIMO,coordinated beamforming,feedback,cell-edge,inter-cell interference,en
dc.relation.page106
dc.rights.note有償授權
dc.date.accepted2012-07-13
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

文件中的檔案:
檔案 大小格式 
ntu-101-1.pdf
  未授權公開取用
28.71 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved