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研究生: 廖健宏
Chien-Hung Liao
論文名稱: 使用MIMO架構的通道估測來降低OFDM架構下LMDS系統的同頻干擾
Reducing the Co-channel Interference of OFDM-based LMDS Systems by MIMO Structured Channel Estimation
指導教授: 蔡木金
Mu-King Tsay
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
畢業學年度: 94
語文別: 中文
論文頁數: 61
中文關鍵詞: 區域多點分配服務多重輸入多重輸出正交分頻多工
外文關鍵詞: OFDM, LMDS, MIMO
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  • 由於LMDS乃是使用28GHz之雙向數位式細胞系統,同頻干擾(Co-channel Interference) 對於系統性能是一個限制因素,尤其LMDS的下傳鏈路(Downstream)通常有較高的容量,因此在下傳鏈路的同頻干擾比上傳鏈路(Upstream)嚴重。正交分頻多工(Orthogonal Frequency Division Multiplexing; OFDM)是一套有效率的方法,可以傳輸高速率資料及對抗碼際干擾(Inter-symbol Interference)和多路徑傳輸的衰減。本論文主要是探討如何提昇以OFDM為基礎之區域多點分配服務系統的性能,我們將模擬LMDS的寬頻通道、架構OFDM傳輸系統,利用多重輸入多重輸出(Multi-Input-Multi-Output; MIMO)架構來估測用戶端(Subscriber)與基地台(Base station) 與細胞間干擾之干擾台(Interfering Stations)之通道頻率響應,並
    以估測的通道頻率響應來實現通道等化(Channel Equalization)。如此一來,細胞間的干擾可以有效地降低。本論文也會討論利用調適性調變(Adaptive modulation)技術,以提昇系統的效能。


    LMDS usually operates at millimeter-wave frequencies about 28 GHz and it is a two-way digital cellular system, co-channel interference is the limiting factor of system performance. In the downstream, the channel capacity is higher than that in the upstream, and the co-channel interference of the downstream is more serious than that of the upstream. In order to reduce the co-channel interference, we apply the orthogonal frequency division multiplexing (OFDM) to the LMDS system to simulate the OFDM-Based LMDS. OFDM is an efficient and suitable technique to combat ISI in wideband channels. Since each OFDM sub-carriers has a very narrow spectrum. It can transmit high data rate and combat the inter-symbol interference and the multipath fading. In this thesis, we will improve the performance of OFDM-Based LMDS system by using MIMO structured channel estimation. In order to promote systematic efficiency, this thesis will adopt adaptive modulation techniques too.

    Contents………………………………………………………………I List of Figures………………………………………………………… III List of Tables…………………………………………………………VI Chapter 1. Introduction……………………………………………………………1 1.1 Motivation and Objective……………………………………1 1.2 Structure of The Thesis………………………………………2 Chapter 2. Background of LMDS………………………3 2.1 Local Multipoint Distribution Service (LMDS)……………3 2.1.1 Introduction to The Meaning of LMDS……………………………3 2.1.2 Fixed Wireless Access Advantages……………………………4 2.1.3 FCC Band Plan for LMDS…………………………………………………………5 2.2 Characteristics of Propagation Channel………………………… 7 2.2.1 Propagation in Free Space…………………………………………………………7 2.2.2 Propagation Loss................................................................8 2.3 Inter-Cell Interference Calculation……………………………...9 2.3.1 The Well-know Radio Formula..........................................9 2.3.2 ITU-R Rain Attenuation Prediction Model......................10 2.3.3 Cross-polarization Discrimination (XPD)........................14 2.4 Layout of Cellular Configuration…………………………… 15 2.4.1 System Deployment Trade-offs........................................15 2.4.2 Frequency Reuse..............................................................15 2.4.3. Alternating Polarizations.................................................17 2.4.4 Cell Planning of LMDS....................................................18 2.5 Link Budget Calculation…………………………………… 19 2.6 Typical Architecture……………………………………… … 20 2.6.1 Co-channel Interference...................................................21 Chapter 3. MIMO Structured Channel Estimation………………25 3.1 Introduce to OFDM…………………………………………… 25 3.2 Generation of Sub-carrier Using The IFFT ……………………26 3.3 Guard Interval…………………………………………………29 3.4 Choice of OFDM Parameters ………………………………… 31 3.5 Channel Estimation………………………………………… 33 Chapter 4. Analysis and Simulation Results…………………………………………………40 4.1 Pilot-Based Channel Estimation by Using MIMO Model……41 4.2 Simulation Results and Discussions………………………………………………44 Chapter 5. Conclusions………………………………………………57 Reference…………………………………………………59

    Reference
    [1] A. Gray Douglas “A Broadband Wireless Access System at 28 GHz,”
    IEEE,1997.
    [2] Richard van Nee Ramjee Prasad. “OFDM for Wireless Multimedia
    communications”
    [3] S. Farahvash and M. Kavehrad, “Co-channel Interference Assessment for
    Line-of-Sight and Nearly Line-of-Sight Millimeter-Waves Cellular LMDS
    Architecture,” International Journal of Wireless Information Networks
    (Kluwer Academic Publishers), Vol. 7, No. 4, 2000.
    [4] Propagation Data and Prediction Methods Required for The Design of
    Terrestrial Line-of-sight Systems, Rec. ITU-R P.530-8.
    [5] Chiu-Wen Shieh “The Engineering of K Band Digital Microwave Systems,”
    Telecommunication Technique Journal, Vol. 1, No. 2, May 1997.
    [6] B. Papazian Peter, A. George Hufford, J. Robert Achatz and Randy Hoffman,
    “Study of the Local Multipoint Distribution Service Radio Channel,” IEEE
    Transactions on Broadcasting, Vol. 43, No. 2, June 1997.
    [7] Chih-Yuan Chu and K.S. Chen, “Effects of Rain Fading on the Efficiency of
    the Ka-band LMDS System in the Taiwan Area,” IEEE Transactions on
    vehicular technology, January 2005.
    [8] Hikmet sari ”Some Design Issues in Local Multipoint Distribution
    System,” IEEE, 1998.59
    [9] Vincentzio Roman “Frequency Reuse and System Deployment in Local
    Multipoint Distribution Service,” IEEE Personal Communications, December
    1999.
    [10] Mu-King Tsay and Fu-Tung Wang, ”A Twisted Sector Cellular Pattern in
    Local Multipoint Distribution System,” Journal of the Chinese Institute
    of Electrical Engineering , Vol.10, No3. 2003.
    [11] Richard van Nee, Ramiee Prasad, “OFDM for Wireless Multimedia
    Communication”
    [12] R. E. Blahut, , “Fast Algorithms for Digital Signal Processing”,
    Reading, MA: Addison-Wesley, 1985
    [13] Yuping Zhao and Aiping Huang, “A Novel Channel Estimation Method for
    OFDM Mobile Communication Systems Based on Pilot
    Signals and Transform-Domain Processing”, Vehicular Technology
    Conference, IEEE, 1997
    [14] J.Rinne and M. Renfors, “Channel estimation in OFDM systems utilizing
    pilots”, Espoo, Finland, 1996
    [15] Y. Li,; N. Seshadri,; S. Ariyavisitakul, “Channel estimation for OFDM
    systems with transmitter diversity in mobile wireless channels,” IEEE
    Journal on Selected Areas in Communications, vol.17,no 3, pp. 461-471,
    March 1999.
    [16] W. Dongming,; H. Bing,; Z. Junhui,; G. Xiqi,; Y. Xiaohu, , “Channel
    Estimation Algorithms for Broadband MIMO-OFDM Sparse Channel,” Proc.14-
    th IEEE Int. Symp. on personal, Indoor and Mobile Radio Communications,
    Beijing, China, 07.-10. Sept. 2003, pp. 1929-1933.
    [17] V. D. Nguyen, Channel Impulse Response Length Estimation and 60
    Interference Cancellation for OFDM Systems, Germany: Shaker Verlag,
    Aachen 2004.
    [18] J. M. Cioffi,; J. A. C. Bingham, , “A Data-Driven Multitone Echo
    Canceller,” IEEE Trans. Commun.,vol. 42, no. 10, pp. 2853-2869, Oct.
    1994.
    [19] D. Kim,; G. L. Stuber, , “Residual ISI Cancellation for OFDM with
    Applications to HDTV Broadcasting, ” IEEE Journal on Selected Areas in
    Communications, vol. 16,No. 8, pp. 902-914, Oct. 1998.
    [20] V. D. Nguyen, M. Pätzold: ”Least Square Channel Estimation Using Special
    Training Sequences for MIMO-OFDM Systems in the Presence of Intersymbol
    Interference”, Proc. Nordic Radio Symposium (NRS) 2004, including the
    Finnish Wireless Communications Workshop (FWCW) 2004, Oulu, Finland, 16. - 18. August 2004 61

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