相對於傳統的天線一對一傳輸形式，多重使用者多輸入多輸出(MU-MIMO)是一種能允許多個使用者、多根天線同時傳輸的技術，透過這樣的同時傳輸，整體系統的傳輸表現能得到相當顯著的提升。然而，由於接收天線數量有限，而系統整體的傳輸速率又和傳輸天線的通道狀況間有著相當大的關聯，如何選取適當的一組天線做傳輸，就是提升系統整體的傳輸速率一個重要的課題。並且，由於干擾消除 (Interference cancellation) 此種訊號處理技術的特性，相同的一組天線以不同順序進行解碼，也會導致系統被容許傳輸速率出現難以忽視的差距。
因此，在這篇論文中，我們提出了一個同時具備了天線組挑選與決定天線順序的天線選擇機制。在天線組挑選的議題上，藉由套用非等方性正交普洛克路斯忒路斯分析 (Anisotropic Orthogonal Procrustes Analysis)，我們希望能找到一組訊號盡可能正交且訊號強度盡量高的天線。而在決定天線順序的問題上，藉由觀察訊號強度與實際傳輸速率的關係，我們則提出了一個啟發式 (heuristic) 的天線順序決定法，來試圖最小化系統傳輸速率因天線訊號間彼此干擾而下降的問題。
實驗結果顯示，我們所提出的演算法與其他天線選擇策略相比，在系統傳輸速率上會有相當出色的表現。

Multiple-input and multiple-output (MIMO) is a technique that achieves significant communication performance by allowing multiple antennas to simultaneously communicate. However, the achievable throughput highly depends on the channel state of the antennas which are transmitting concurrently. The target of this thesis is to improve the system throughput in interference-cancellation-based MU-MIMO by our proposed transmit antenna selection strategy. The whole proposed scheme consists of two procedures—antenna extraction procedure (based on the anisotropic orthogonal Procrustes analysis) and antenna ordering procedure. Simulation results indicate that our proposed scheme improves system throughput and that the performance of our proposed strategy is excellent in comparison with other schemes.

Acknowledgement iv
Abstract v
Table of Contents vii
List of Figures ix
Chapter 1 Introduction 1
1.1. Concept of MIMO 1
1.2. SNR Projection 3
Chapter 2 Related Work 7
2.1. Transmit Antenna Selection Strategies 7
2.2. Rate Adaptation 8
Chapter 3 Channel Model 9
Chapter 4 Antenna Selection Strategy 11
4.1. Antenna Extraction Based on Anisotropic Orthogonal Procrustes Analysis 12
4.2. Antenna Ordering 15
Chapter 5 Performance Evaluation 20
5.1. Simulation Setup 20
5.2. Compared schemes introduction 21
5.3. Performance Comparisons 24
Chapter 6 Conclusion 31
Bibliography 32

[1] T. L. Marzetta and B. M. Hochwald, "Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading," in IEEE Transactions on Information Theory, vol. 45, no. 1, pp. 139-157, Jan 1999.
[2] G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas", Wireless Pers. Commun. , vol. 6, pp. 311-335, 1998
[3] S. Sanayei and A.Nosratinia, "Antenna Selection in MIMO Systems," IEEE Communications Magazine, pp.68-73, Oct. 2004.
[4] Wei Zhong and Youyun Xu, "Joint user and transmit antenna selection for uplink multi-user MIMO systems," IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, Sept 2009
[5] K. Tan, H. Liu, J. Fang, W. Wang, J. Zhang, M. Chen, and G. M. Voelker, "SAM: Enabling Practical Spatial Multiple Access in Wireless LAN," In ACM MobiCom, 2009
[6] E. Aryafar, N. Anand, T. Salonidis, and E. W. Knightly, "Design and Experimental Evaluation of Multi-User Beamforming in Wireless LANs," In ACM MobiCom, 2010
[7] Wei-Liang Shen, Yu-Chih Tung, Kuang-Che Lee, Kate Ching-Ju Lin, Shyamnath Gollakota, Dina Katabi, and Ming-Syan Chen, "Rate adaptation for 802.11 Multiuser MIMO Networks," in Proc. of ACM Mobicom, pp. 29-40, Aug 2012
[8] Lara Deek, Eduard Garcia-Villegas, Elizabeth Belding, Sung-Ju Lee, and Kevin Almeroth, "Joint rate and channel width adaptation for 802.11 MIMO wireless networks," 10th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), June 2013
[9] A. T. Alastalo, M. Kahola, "Smart-antenna operation for indoor wireless local-area networks using OFDM," IEEE Trans.Wireless Commun., vol.2, No. 2, pp. 392-399, Mar. 2003
[10] D. Bliss, K. Forsythe, and A. Chan. MIMO Wireless Communications. Lincoln Lab Journal, 2005.
[11] D. Tse and P. Vishwanath, "Fundamentals of Wireless Communications," Cambridge University Press, 2005.
[12] GOWER, J.C.,and DIJKSTERHUIS,G.B., "Procrustes Problems," Oxford University Press, 2004.
[13] Tzu-Shiang Hsu, "An Uplink Multi-User MIMO Protocol with Transmit Antenna Selection in 802.11 WLANs," Tsing Hua University Press, 2013.
[14] Shih-Hsun Cheng, "A Transmit Antenna Selection Strategy achieved by Anisotropic Orthogonal Procrustes Analysis for 802.11ac Uplink MU-MIMO Systems," Tsing Hua University Press, 2015.
[15] Tung-Wei Kuo, Kuang-Che Lee, Kate Ching-Ju Lin and Ming-Jer Tsai, "Leader Contention Based User Matching for 802.11 Multiuser MIMO Networks," IEEE Trans. on Wireless Communications, 2014.
[16] X. Chen, H. Hu, H. Wang, H. h. Chen and M. Guizani, "Double proportional fair user pairing algorithm for uplink virtual MIMO systems," in IEEE Transactions on Wireless Communications, vol. 7, no. 7, pp. 2425-2429, July 2008.
[17] X. Zhou, B. Bai and W. Chen, "An iterative algorithm for joint antenna selection and power adaptation in energy efficient MIMO," 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, 2014, pp. 3812-3816.
[18] M. Benmimoune, E. Driouch, W. Ajib and D. Massicotte, "Joint transmit antenna selection and user scheduling for Massive MIMO systems," 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, 2015, pp. 381-386.
[19] Y. Kim, S. Cho and D. K. Kim, “Low Complexity Antenna Selection based MIMO Scheduling Algorithms for Uplink Multiuser MIMO/FDD System,” in Proc. IEEE VTC, 2007, pp. 1663-1667
[20] R. Chen and Z. Shen, J. G. Andrews, and R.W. Heath Jr., “Multimode Transmission for Multiuser MIMO Systems With Block Diagonalization,” IEEE Trans. Signal Proc., vol.56, No.7, pp. 3294-3320, July. 2008.