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研究生： 邱新堯
Hsin-Yao Chiu
論文名稱： 非正交多重接取之預編碼在多輸入多輸出系統效能分析
Performance Analysis of MIMO with Precoding in Non-Orthogonal Multiple Access (NOMA) Systems
指導教授： 陳永芳
Yung-Fang Chen
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 通訊工程學系
Department of Communication Engineering
論文出版年： 2017
畢業學年度： 105
語文別： 英文
論文頁數： 38
中文關鍵詞： 多輸入多輸出系統 、非正交多重接取 、預編碼
相關次數： 點閱：10  下載：0 
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    • 在本篇論文中，我們主要專注在多輸入多輸出的非正交多重接取系統環境下，進行效能評估，使用的強制歸零預編碼Zero-Forcing (ZF)和最小均方誤差預編碼Minimum Mean Square Error (MMSE) 。因此，本文希望去探討不同預編碼在完美通道和具通道估測錯誤情況下，進行效能評估。利用預編碼可使用來降低干擾的程度，經過預編碼可以提升系統吞吐量 (capacity)。在模擬結果中進行比較並分析，提出不同形況下預編碼的選擇和使用。

    In this thesis, we studied the performance of zero-forcing (ZF) and minimum mean square error (MMSE) precoding of Multiple Input Multiple Output (MIMO) in Non-orthogonal multiple access (NOMA) systems. The effect of channel estimation is considered. Therefore, we evaluate the performance with different precoding methods with perfect and imperfect channel estimation. While using precoding to suppress the interference, the sum capacity is improved. Finally, we suggest one precoding method to offer better sum capacity in choosing one of different precoding methods by comparing the performance of simulation results.

    Contents 論文摘要 I Abstract II 致謝 III Contents IV List of Figures V List of Tables VI 1. Introduction 1 1.1 Multiple Input Multiple Output (MIMO) 1 1.2 Non-orthogonal multiple access (NOMA) 2 1.3 Zero-forcing (ZF) precoding and Minimum mean square error (MMSE) precoding 3 1.4 Organization 4 1.5 Notation 4 1.6 Abbreviations 5 2. System Model 6 2.1 Zero-forcing BF in the NOMA-BFsystem 8 2.2 Received SINR wth zero-forcing 9 2.3 Minimum mean square error BF in the NOMA-BFsystem 11 2.4 Received SINR wth minimum mean square error 12 2.5Problem formulation 14 3. Performance in NOMA system of channel estimation error 16 3.1 Estimated channel with ZF 16 3.2 Estimated channel with MMSE 18 4. Simulation Results 20 5. Conclusion 26 6. Reference 27 List of Figures Fig. 1.1. MIMO system model 1 Fig. 2.1. NOMA-BF downlink system 6 Fig. 4.1. The different users performance compare by the ZF v.s.MMSE. 21 Fig. 4.2. The sum capacity growth rate in low SNR. 22 Fig. 4.3. The sum capacity growth rate in high SNR. 22 Fig. 4.4. The performance by using the estimated channel. 23 Fig. 4.5. The performance by using the estimated channel for ZF and MMSE. 24 Fig. 4.6. The performance of using the estimated channel for various the SNR. 25 Fig. 4.7. T The performance of using the estimated channel only for ZF and MMSE. 25   List of Tables Table 4.1 The Parameters for NOMA downlink system simulation 19

    [1] K. Sheikh, D. Gesbert, D. Gore, and A. Paulraj, “Smart antennas for broad-band wireless access networks,” IEEE Commun. Mag., vol. 37, no. 11, pp. 100-105, Nov. 1999.
    [2] S. K. Burra, R. P. R. Yendrapalli, “User scheduling algorithm for MU-MIMO system with limited feedback,” MS Thesis, Blekinge Institute of Technology , Sept. 2010.
    [3] P. H. Lin, S. H. Tsai and C. H. Chuang, “Transmit antenna selection with linear precoding in MIMO multiuser systems,” in Proc. IEEE Global Telecomm. Conf., no. 12, pp. 1-5, Dec. 2010.
    [4] H. Weingarten, Y. Steinberg, and S. Shamai, “The capacity region of the gaussian multiple-input-multiple-output broadcast channel,” IEEE Transactions on Information Theory, vol. 52, no. 9, pp. 3936 – 3964, September 2006.
    [5] T. Yoo, A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,” IEEE J. Sel. Areas Commun., vol. 24, no. 3, pp. 528-541, Mar. 2006.
    [6] Y. i. Shin, T. S. Kang and H. M. Kim, “An efficient resource allocation for multiuser MIMO-OFDM systems with zero-forcing beamformer,” IEEE Personal, Indoor and Mobile Radio Commun., no. 9, pp. 1-5, Sept. 2007.
    [7] G. Dimic, N. D. Sidiropoulos, “On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm,” IEEE Trans. Signal processing, vol. 53, no. 10, pp. 3857-3868, Oct. 2005.
    [8] N. Jindal, “MIMO Broadcast Channels With Finite-Rate Feedback,”Information Theory, IEEE Transactions on, vol.52, no.11, pp.5045-5060,Nov. 2006.
    [9] A. Tarighat, M. Sadek, A.H. Sayed, “Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels,” Signal Processing, IEEE Transactions on, vol.52, no.2, pp. 461- 471, Feb. 2004.
    [10] Taesang Yoo, N. Jindal, A. Goldsmith, “Multi-Antenna Downlink Channels with Limited Feedback and User Selection,” Selected Areas in Communications, IEEE Journal on, vol.25, no.7, pp.1478-1491, Sep.2007.
    [11] M. Sharif and B. Hassibi, “A comparison of time-sharing, DPC, and beamforming for MIMO broadcast channels with many users,” Communications, IEEE Transactions on, vol. 55, no. 1, pp. 11-15, Jan. 2007.P. Sun, M. Morelli and L. Zhang, “Carrier Frequency Offset Tracking in the IEEE 802.16e OFDMA Uplink,” IEEE Trans. on Commun., vol. 9, no. 12, pp.3613-3619, Dec. 2010.
    [12] M. Joham, K. Kusume, M. H. Gzara, W. Utschick, and J. A. Nossek, “Transmit Wiener filter for the downlink of TDD DS-CDMA systems,” in Proc. ISSSTA2002, Prague, Czech Republic, Sep. 2002.
    [13] X. Yang and L. N. Tho, “A capacity-achieving precoding scheme based on channel inversion regularization with optimal power allocation for MIMO broadcast channels,” in Proc. IEEE Global Telecomm. Conf., no. 11, pp. 3190-3194, Nov. 2007.
    [14] S. Tomida and K. Higuchi, “Non-orthogonal Access with SIC in Cellular Downlink for User Fairness Enhancement,” Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on, pp.1-6, Dec. 7-9, 2011.
    [15] T. Takeda and K. Higuchi, “Enhanced User Fairness Using Non- Orthogonal Access with SIC in Cellular Uplink,” Vehicular Technology Conference (VTC fall), 2011 IEEE, pp.1-5, Sept. 5-8, 2011.
    [16] Taesang Yoo, N. Jindal, A. Goldsmith, “Multi-Antenna Downlink Channels with Limited Feedback and User Selection,” Selected Areas in Communications, IEEE Journal on, vol.25, no.7, pp.1478-1491, Sep. 2007.
    [17] M. Sharif and B. Hassibi, “A comparison of time-sharing, DPC, and beamforming for MIMO broadcast channels with many users,” Communications, IEEE Transactions on, vol. 55, no. 1, pp. 11-15, Jan. 2007.
    [18] N. Jindal, “MIMO Broadcast Channels With Finite-Rate Feedback,” Information Theory, IEEE Transactions on, vol.52, no.11, pp.5045-5060, Nov. 2006.
    [19] A. Tarighat, M. Sadek, A.H. Sayed, “Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels,” Signal Processing, IEEE Transactions on, vol.52, no.2, pp. 461- 471, Feb. 2004.
    [20] Jongrok Park, Hojae Lee, Sanghoon Lee, “MIMO Broadcast Channels Based on SINR Feedback using a Non-Orthogonal Beamforming Matrix,” Communications, IEEE Transactions on, vol.60, no.9, pp.2534,2545, September 2012.
    [21] Hyungjoon Song, Woohyun Seo and Daesik Hong, “Compressive Feedback Based on Sparse Approximation for Multiuser MIMO Systems,” Vehicular Technology, IEEE Transactions on, vol.59, no.2, pp.1017-1023, Feb. 2010.
    [22] M. Johan, W. Utschick and J. A. Nossek, “Linear transmit processing in MIMO communication systems,” IEEE Trans. Signal Processing, vol. 53, no. 8, pp. 2700–2712, Aug. 2005.
    [23] B. Bandemer, M. Haardt and S. Visuri, “Linear MMSE multi-user MIMO downlink precoding for users with multiple antennas,” IEEE Personal, Indoor and Mobile Radio Commun., no. 12, pp. 1-5. Dec. 2006.
    [24] C. B. Peel, B. M. Hochwald and A. L. Swindlehurst, “A vector-perturbation technique for near-capacity multiantenna multiuser communication - Part I: channel inversion and regularization,” IEEE Trans. Commun., vol. 53, no. 1, pp. 195-202, Jan. 2005.

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