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研究生:林逸
研究生(外文):Yi Lin
論文名稱:下行單細胞多使用者多輸入多輸出系統之低複雜使用者選擇演算法
論文名稱(外文):Low Complexity User Selection Algorithm for Downlink Single Cell Multi-User MIMO System
指導教授:邱茂清邱茂清引用關係
指導教授(外文):Mao-Ching Chiu
口試委員:陳喬恩沈文和劉維正李昌明邱茂清
口試委員(外文):Chiao-En ChenWern-Ho SheenWei-Cheng LiuChang-Ming LeeMao-Ching Chiu
口試日期:2012-07-20
學位類別:碩士
校院名稱:國立中正大學
系所名稱:通訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:54
中文關鍵詞:使用者選擇演算法低複雜度多輸入多輸出系統
外文關鍵詞:User Selection AlgorithmLow complexityMIMO
相關次數:
  • 被引用被引用:0
  • 點閱點閱:262
  • 評分評分:
  • 下載下載:1
  • 收藏至我的研究室書目清單書目收藏:0
無線電頻譜是有限的資源,因此多使用者多輸入多輸出無線網路的頻譜分配已被熱烈討論,而多使用者的配對挑選也視為資源分配一種。適當的使用者配對可改善系統的吞吐量並增加頻譜利用率。目前已有提出使用者低複雜度特徵值配對策略,此法不需預先計算預編碼,而根據通道矩陣函數的特徵值挑選使用者,然而當使用者矩陣龐大時,尋找一矩陣特徵值扔有複雜度存在;因此本文延續不需預先做預編碼的優點,而直接利用特徵值數學上的特性提出兩個簡化演算法分別是軌跡演算法和及弗比尼斯平方演算法,用兩者演算法搜尋出適當的使用者。模擬結果顯示我們提出兩演算法效能相當接近特徵值演算法且具有複雜度較低的優勢。
Since the radio spectrum is a finite resource, the spectrum arrangement for multi-user MIMO (MU-MIMO) wireless networks is a well discussed problem. User pairing can be considered as a kind of spectrum arrangement. Employing the pairing schemes appropriately can improve the throughput of the systems significantly and the utilization of radio spectrum. Low complexity eigenvalue pairing strategy has been proposed for MU-MIMO downlink scenario. The pairing strategy based on eigenvalues of function of channel state information without precoder. However, find a eigenvalue of matix is high computational when matrix of channel of user is huge. We propose two pairing strategies –Trace pairing and Frobenius norm pairing , and we use it to find better users, it’s relation with eigenvalue to simplify in the mathematical. Simulation results show that the proposed pairing strategies with low complexity than eigenvalue pairing strategy, and the performance of two algorithms are very close to the eigenvalue pairing algorithm.
誌謝辭 i
中文摘要 ii
英文摘要 iii
目錄 iv
圖目錄 v
表目錄 vi
第一章 簡介 1
1.1 簡介 1
1.2 論文架構 3
第二章 系統架構 5
2.1 下行多使用者系統 5
2.2 下行兩個使用者系統 6
第三章 預編碼矩陣設計 9
3.1 強制零預編碼 9
3.2 聯合洩漏壓制預編碼 10
3.3 梯度預編碼 12
第四章 配對演算法 15
4.1. 使用者配對策略演算法 16
4.1.1簡易和率配對演算法 16
4.1.2特徵值演算法 17
4.1.3軌跡演算法 19
4.1.4弗比尼斯平方演算法 21
第五章 模擬結果 24
第六章 結論 35
參考文獻 37
附錄一 38
附錄二 39
附錄三 42

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(LTE-Advanced)”
[2] R1-082942, “Network MIMO in LTE-Advanced,” LG Electronics, 3GPP TSG
RAN WG1 Meeting ♯54, 2008.
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[6]Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, \Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels", IEEE Trans. Signal Processing, vol.52, no.2, pp.461-471, Feb. 2004.
[7]H. Zhang, N. B. Mehta, A. F. Molisch, J. Zhang and H. Dai \Asynchronous Interference Mitigation in Cooperative Base Station Systems", IEEE Trans-actions on Wireless Communications, vol. 7, no. 1, pp. 155-165. Jan. 2008.
[8]Palomar, D.P.; Verdu, S,\ Gradient of mutual information in linear vector Gaussian channels", IEEE Trans. On Inform. Vol. 52, pp 141-154, Jan .2006.
[9]Ya-Feng Liu, Yu-Hong Dai and Zhi-Quan Luo , \On the complexity of optimal coordinated downlink beamforming," Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on , vol., no., pp.3274-3277, 14-19 March 2010.
[10]Z. Shen, R. Chen, J. G. Andrews, R.W. Heath, B.L. Evans, \Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization", IEEE Trans. Signal Processing, vol.54, no.9, pp.3658-3663, Sep. 2005.
[11] T. Ji, C. Zhou, S. Zhou, Y. Yao, \Low complex user selection strategies for multi
-user MIMO downlink scenario", in Proc. IEEE Wireless Communications and Networking Conference (WCNC'07), pp. 1534-1539, Mar. 2007.
[12] C. Lv, S. Zhou, Y. Li, T. Wang, \Low Complexity Scheduling Technique for Multi-User MIMO Systems", Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE , vol., no., pp.1345-1349, 11-14 May 2008.
[13] Sigdel, S. ,Krzymien, W.A. ,\Simplified Fair Scheduling and Antenna Selection Algorithm for Multiuser MIMO Orthogonal Space-Division Multiplexing Downlink",Vehicular Technology Conference,2009. vol.58,no.3,pp.1329-1344 , March .2009.
[14] Hsuan Yang, \ Low Complexity UserPairing Strategies for Downlink Multi-Uaer MIMO System",Communication Engineering College of Engineering NCCU, July 2011.

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