跳到主要內容

臺灣博碩士論文加值系統

(3.236.28.137) 您好!臺灣時間:2021/07/25 21:35
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:鄒鎧駿
論文名稱:多輸入/輸出正交分頻多工與多輸入/輸出多載波分碼多重進接系統之電腦模擬與效能鑑定
論文名稱(外文):Computer Simulation and Performance Evaluation on Cellular MIMO-OFDM and MIMO MC-CDMA Systems
指導教授:黃家齊黃家齊引用關係
學位類別:碩士
校院名稱:國立交通大學
系所名稱:電信工程系所
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:2007
畢業學年度:95
語文別:英文
論文頁數:59
中文關鍵詞:多輸入/輸出正交分頻多工多載波分碼多重進接
外文關鍵詞:MIMOOFDMMC-CDMA
相關次數:
  • 被引用被引用:0
  • 點閱點閱:93
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
這篇論文使用電腦模擬來評估以正交分頻多工為基礎的蜂巢系統。模擬的系統應用空間多重傳輸來增加頻譜使用效率。對於多輸入/輸出正交分頻多工系統,我們模擬一個經過改良的V-BLAST偵測技術和迴旋編碼的通訊系統。至於多輸入/輸出多載波分碼多重進接系統,我們使用一種遞迴式多層級偵測技術。我們使用一種簡單的適應性最小平均平方誤差等化器和層級式天線干擾消除概念來減輕天線間的相互干擾並得到初始的資料偵測。接著藉由多路徑干擾消除技術達到空間分集及多重路徑分集的目的。我們也對這兩種系統的錯誤率效能以及複雜度做分析比較。模擬結果顯示在高訊號雜訊比時多輸入/輸出正交分頻多工系統有較好的表現,而在低訊號雜訊比時則是多輸入/輸出多載波分碼多重進接系統表現較佳。以行動台的所在位置來考量路徑損失和遮蔽衰減,模擬系統所處的蜂巢環境。運用電腦模擬來計算訊號干擾比的分佈。我們也驗證了用高斯訊號模擬干擾訊號的可靠性。
This paper addresses cellular systems based on orthogonal frequency division multiplexing (OFDM). The simulated systems apply spatial multiplexing to increase spectral efficiency. For MIMO-OFDM system, we simulate a communication system based on modified V-BLAST detections and convolutional encoding. For MIMO MC-CDMA systems, we use a multi-layered detection method. We use a simple adaptive MMSE equalizer followed by a layered antenna interference cancellation technique to suppress the inter-antenna interference and obtain initial decision results. Afterwards, a multipath interference cancellation is exploited to fully achieve both spatial diversity and multipath diversity. We also investigate and compare the error performances and complexity of these two systems. Simulation results show that MIMO-OFDM systems have better performance at high SNR while MIMO MC-CDMA systems perform better at low SNR. The systems are then situated in a cellular structure whereas the cellular environment model takes into account path loss and shadowing depending on the position of the mobile station. Computer simulations are used to calculate the distributions of signal-to-noise ratio. We also show that the Gaussian approximation for interference signals is an appropriate assumption.
Chapter 1 Introduction 1
1.1 MIMO-OFDM 2
1.2 MIMO MC-CDMA 3
1.3 About The Thesis 4
Chapter 2 System Model 5
2.1 MIMO-OFDM 5
2.2 MIMO MC-CDMA 6
Chapter 3 Detection Methods for MIMO-OFDM and MIMO MC-CDMA Systems 9
3.1 V-BLAST Detection Methods for MIMO-OFDM Systems 10
3.2 Iterative Multi-layered Detection Methods for MIMO MC-CDMA Systems 12
3.2.1 Layered Antenna Interference Cancellation and Adaptive MMSE Equalization 13
3.2.2 Multipath Interference Cancellation 14
3.2.3 Iterative Multi-layered Detection 16
Chapter 4 Multi-cell Environment 20
4.1 Propagation Loss Model 20
4.2 Distributions of Signal-to-Noise Ratio 21
4.3 Cellular Interference Modeling 27
4.3.1 Gaussian Approximation 28
Chapter 5 Simulation Results 30
5.1 Simulation Environments 30
5.2 The Performance of MIMO-OFDM System 33
5.3 The Performance of MIMO MC-CDMA System 37
5.4 Comparison of the MIMO-OFDM and MIMO MC-CDMA systems 46
5.5 Multi-cell Environment 49
5.5.1 Gaussian Approximation 49
5.5.2 Analyses of System Performance in Multi-cell Environment 52
Chapter 6 Conclusions 54
APPENDIX A The Modified MMSE V-BLAST Equalizer 56
Reference 58
[1] 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, no. 3, pp. 311-335, March 1998.
[2] E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Trans. On Telecommun.,vol. 10, no. 6, pp. 585-595, Nov./Dec. 1999.
[3] G. Raleigh, and J. M. Cioffi, “Spatio-temporal coding for wireless communication,” IEEE Trans. Commun., vol. 46, no. 3, pp. 357-366, March 1998.
[4] G.D. Golden, C.J. Foschini, R.A. Valenzuela, and P.W. Wolniansky, ”Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture”, Electronics Letters, vol. 35, pp. 14 – 16, Jan. 1999.
[5] A. C. McCormick and E. A. Al-Susa, “Multicarrier CDMA for Future Generation Mobile Communication,” IEE Journal on Electronics & Communication Engineering, vol. 14, no. 2, pp. 52-60, Apr. 2002.
[6] S. Hara and R. Prasad, “Design and performance of multicarrier CDMA system in frequency selective Rayleigh fading channels,” IEEE Trans. Veh. Technol., vol. 48, no. 5, pp. 1584–1594, Sep. 1999.
[7] R. Kimura and E. Adachi, “Comparison of OFDM and Multicode MC-CDMA in Frequency Selective Fading Channel,” Electron. Letters, vol. 39, no. 3, pp. 317-318, Feb. 2003.
[8] S. Abeta, H. Atarashi, M. Sawahashi, and F. Adachi, “Performance of coherent multi-carrier/DS-CDMA and MC-CDMA for broadband packet wireless access,” IEICE Trans. Commun., vol. E84-B, no. 3, pp. 406–414, Mar. 2001.
[9] K. Higuchi, A. Fujiwara and M. Sawahashi, “Multipath Interference Canceller for High-Speed Packet Transmission with Adaptive Modulation and Coding Scheme in W-CDMA Forward Link,” IEEE Journal on Commun., vol. 20, no. 2, pp. 419-432, Feb. 2002.
[10] N. Miki, S. Abeta, H. Atarashi and M. Sawahashi, “Multipath Interference Canceller Using Soft-Decision Replica Combined with Hybrid ARQ in W-CDMA Forward Link,” in Proc. IEEE Veh. Technol. Conf., vol. 3, Oct. 2001, pp. 1922-1926.
[11] T. Kawamura, K. Higuchi, Y. Kishiyama and M. Sawahashi, “Comparison Between Multipath Interference Canceller and Chip Equalizer in HSDPA in Multipath Channel,” in Proc. IEEE Veh. Technol. Conf., vol. 1, May 2002, pp. 459-463.
[12] KyunByoung Ko, Dongseung Kwon, Daesoon Cho, Changeon Kang and Daesik Hong, “Performance analysis of a multistage MPIC in 16-QAM CDMA systems over multipath Rayleigh fading channels,” in Proc. IEEE Veh. Technol. Conf., vol. 4, April 2003, pp. 2807-2811.
[13] P. W. Wolniansky, G. J. Foschini, G. D. Golden, R. A. Valenzuela, “V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel,” in Proc. Int. Symp. Signals, Systems, and Electronics (ISSSE’98), Pisa, Italy, Oct. 1998, pp. 295–300.
[14] Ching-Kai Li, “A novel iterative multi-layered detection method for MIMO multi-code multicarrier systems”, M.S. Thesis, Dept. Com. Eng., NCTU, Hsinchu, ROC, 2005.
[15] William C.Y Lee. Mobile Cellular Telecommunications Systems, McGraw-Hill Book Company, 1989.
[16] A. J. Viterbi, A. M. Viterbi, and E. Zehavi, “Other-cell interference in cellular power-controlled CDMA,” IEEE Transactions on Communications, vol. 42, no. 21314, pp. 1501-1504. February/March/April 1994.
[17] Chia-Chi Huang, “Computer simulation of a direct sequence spread spectrum cellular radio architecture,” IEEE Trans. Veh. Technol., vol. 41, pp. 554-550, Nov. 1992.
[18] K. Gilhousen, I. Jacobs, R. Padovani, A. Viterbi, L. Weaver, and C. Wheatley, “‘On the capaciry of a cellular CDMA system: IEEE Transactions on Vehicular Technology, vol. 40, no. 2, pp. 303-312. May 1991.
[19] Jonathan P. Castro, “The UMTS network and radio access technology: air interference techniques for future mobile systems,” New York: Wiley, 2001.
[20] John G. Proakis, Digital Communications, Mc-Graw Hill, 4th ed., 2001.
[21] P. T. Brady, “A statistical analysis of on-off patterns in 16 conversations,” Bell System Tech. J., pp. 73-91, Jan. 1968.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊