簡易檢索 / 詳目顯示

研究生: 吳思葦
Wu, Ssu-Wei
論文名稱: 使用差分時空編碼之合作式通訊研究
On the Cooperative Communication with Differential Space-Time Network Coding
指導教授: 張名先
Chang, Ming-Xian
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 38
中文關鍵詞: 合作式通訊差分時空網格編碼通道估測分時多工存取空間多樣性最小乘積距離
外文關鍵詞: cooperative communications, differential space-time network coding, channel estimation, Time Division Multiple Access
相關次數: 點閱:144下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 近年來,合作式通訊已受到許多關注。在合作式通訊上,它的多樣性能使多用戶環境中裝備一根天線的移動節點去分享它們的天線來構成一個虛擬的多天線的傳送器並達成空間上的多樣性。
    在合作式通訊中,由於本身即為非同步系統,所以在傳輸時要達到同步是很困難的,而且隨著使用者數目的增加,要達到完美的通道估測也是一個龐大的工程,因此在過去的paper中都是假設通道是已知。基於上述的想法我們在此使用DSTNC-TDMA[1]的方法去克服不完美的同步以及複雜的通道估測。在TDMA系統下,每一個使用者在第二階段將自己與接收到其他使用者的訊號做線性組合再給予傳送。但在DSTNC-TDMA下,接收端會遇上解碼複雜度過高及通道變化速度增加造成的錯誤率上升的問題,因此我們探討如何利用差分解碼和訊號重置來解決。

    In recent years, cooperative communications has received much attention. The diversity in the cooperative communications enables mobiles equipped with a single antenna to share their antennas in a multi-user environment, and with the virtual multiple-antenna, transmitter spatial diversity is provided.
    In cooperative communications, simultaneous transmissions from two or more nodes are challenging due to its asynchronous nature. In addition, channel estimation is a costly task, especially when the number of cooperative users is large. Most of the papers assume the channel state information is known, which is not practical in reality. In this thesis, we study a differential space-time network coding (DSTNC) system with time division multiple access (TDMA) [1] to overcome the problems of imperfect synchronization and channel estimation. In this system, each user in the second phase of cooperative communication linearly combines his signal and the received signals from other users, and then the combined signal is transmitted to the destination. Take consideration the high-complexity maximum-likelihood (ML) decoding in receiver and the channel variation; we consider the scheme that uses direct differential decoding and symbol resetting.

    Chinese Abstract I English Abstract II Acknowledgement IV Contents V List of Figures VII 1 Introduction 1 2 System Model 3 2.1 Introduction to TDMA 3 2.2 Channel Model 4 2.2.1 Jake’s Rayleigh Fading Model 4 3 Introduction to cooperative wireless communication 6 3.1 System Model 6 3.2 Cooperative Relaying Method 8 3.3 Cooperative Maximum Ratio Combining 9 3.4 Introduction to Network Coding 11 4 Differential Space-Time Network Coding 13 4.1 System Model 14 4.2 Transmission Model 15 4.2.1 Symbol Transmission in Phase I 17 4.2.2 Symbol Transmission in Phase II 18 4.3 Symbol Detection 19 4.3.1 Signal Detection in Phase I 19 4.3.2 Signal Detection in Phase II 20 4.4 Design of Combining Matrix 21 4.5 Simulation Result 23 4.5.1 Simulation Condition 24 4.5.2 Simulation Results 25 5 Modified the Differential Space-Time Network Coding 28 5.1 Symbol Resetting 28 5.1.1 Simulation Results 31 5.2 Detect with direct differential detection 33 5.2.1 Simulation Results 35 6 Conclusion 36 Bibliography 37

    [1] Zhenzhen Gao, Hung-Quoc Lai and Liu, K.J.R. “Differential Space-Time Network Coding for Multi-Source Cooperative Communications”. IEEE Transactions on Communications, VOL. 59, NO. 11, Nov. 2011
    [2] J. N. Laneman, D. N. C. Tse, and G. W. Wornell. “Cooperative diversity in wireless networks: Efficient protocols and outage behavior”. IEEE Trans. on Inf. Theory, 50(12):3062-3080, Dec. 2004.
    [3] J. N. Laneman and G. W. Wornell. “Distributed space-time-coded protocols for exploiting cooperative diversity in wireless network”. IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2415–2425, Oct. 2003.
    [4] A. K. Sadek, W. Su, and K. J. R. Liu. “Multinode cooperative communications in wireless networks”. IEEE Trans. Signal Process., vol. 55, no. 1, pp. 341–355, Jan. 2007.
    [5] H. Q. Lai, A. Ibrahim, and K. J. R. Liu. “Wireless network cast: Locationaware cooperative communications with linear network coding”. IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3844-3854, Jul. 2009.
    [6] H. Q. Lai and K. J. R. Liu. “Multipoint-to-point and point-to-multipoint space-time network coding”. in Proc. IEEE ICASSP, Dallas, March 2010.
    [7] Y. Li, and X. Huang, “The Simulation of Independent Rayleigh Faders,” IEEE Trans. Commun., vol. 50, NO. 9, pp. 1503-1514, Sept. 2002.
    [8] A. Sendonaris, E. Erkip, and B. Aazhang.” User cooperation diversity. part ii. Implementation aspects and performance analysis”. IEEE Trans. on Commun., 51(11):1939-1948, Nov 2003.
    [9] A. Ribeiro, X. Cai, and G. B. Giannakis. “Symbol error probabilities for general cooperative links”. IEEE Trans. on Wireless Commun., 4(3):1264-1273, May 2005.
    [10] T. Wang, A. Cano, G. B.Giannakis, and J. N. Laneman.” High-performance coop-
    erative demodulation with decode-and-forward relays”. IEEE Trans. on Commun,
    55(7):1427-1438, July 2007.
    [11] S. Y. R. Li, W. Yeung, and N. Cai. “Linear network coding”. IEEE Trans. Inf. Theory, vol. 49, no. 2, pp. 371–381, Feb. 2003.
    [12] E. Fasolo, F. Rossetto, and M. Zorzi. “Network coding meets MIMO”. in Proc. Workshop Network Coding, Theory, Appl., Jan. 2008, pp. 1–6.
    [13] X. Giraud, E. Boutillon, and J. C. Belfiore. “Algebraic tools to build modulation schemes for fading channels”. IEEE Trans. Inf. Theory, vol. 43, no. 3, pp. 938–952, May 1997.
    [14] J. Boutros and E. Viterbo. “Signal space diversity: a power and bandwith efficient diversity technique for the Rayleigh fading channel”. IEEE Trans. Inf. Theory, vol. 44, no. 4, pp. 1453–1467, July 1998.

    無法下載圖示 校內:立即公開
    校外:不公開
    電子論文尚未授權公開,紙本請查館藏目錄
    QR CODE