| 研究生: |
許信賢 Hsin-Hsien Hsu |
|---|---|
| 論文名稱: |
多輸入多輸出正交分頻多工系統於IEEE 802.22無線區域網路通道之效能評估 Performance Evaluation of MIMO-OFDM Systems for IEEE 802.22 WRAN Channels |
| 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 |
| 畢業學年度: | 97 |
| 語文別: | 英文 |
| 論文頁數: | 60 |
| 中文關鍵詞: | 多輸入多輸出 、正交分頻多工 |
| 外文關鍵詞: | MIMO, OFDM |
| 相關次數: | 點閱:6 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 |
為了要利用多輸入多輸出正交分頻多工系統中的空間多樣性,傳輸端的波束成形及接收端的結合為一種簡易的方法來達到要求。而這種技術可被應用在IEEE 802.22無線區域網路來維持其位元錯誤率的效能。我們將Grassmannian波束成形及天線選擇兩種方法結合來達到較好的位元錯誤率。此外,在考慮到無線區域網路的通道特性下,也結合了子載波分組的方法。最後我們對不同的通道模型做模擬,模擬結果在此被提出來比較並作討論。
Transmit beamforming and receive combining are simple methods for exploiting spatial diversity in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Such techniques can be applied on the IEEE 802.22 wireless regional area network (WRAN) to maintain bit-error-rate (BER) performance. We combine Grasmannian beamforming and antenna selection algorithm to get superior BER performance. In addition, subcarrier grouping is also added by thinking of the characteristic of the WRANs. Simulation results in different WRAN reference channel models are shown here for comparison.
[1]S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp.201–220, Feb.2005.
[2]IEEE 802 LAN/MAN Standards Committee 802.22 WG on WRANs (Wireless Regional Area Networks) IEEE 802 LAN/MAN Standards Committee, Piscataway, NJ [Online]. Available:http://www.ieee802.org/22/
[3]Functional Requirements for the 802.22 WRAN Standard, IEEE 802.22-05/0007r46, Sep. 2005.
[4]Richard van Nee, Ramjee Prasad, OFDM for Wireless Multimedia Communications
[5]WRAN Channel Modeling, IEEE802.22-05/0055r7, Aug. 2005.
[6]S.M. Alamouti, “A simple transmit diversity technique for wireless communications,” Selected Areas in Communications, IEEE Journal on, vol.16, pp. 1451-1458, 1998.
[7]T.S. Rappaport, Wireless Communications: Principles and Practice, 2nd Ed. Prentice Hall, Inc., 2002
[8]H. Kim, J. Kim, S. Yang, M. Hong, Y. Shin, “An Effective MIMO-OFDM System,” Circuits and Systems II: Express Briefs, IEEE Transactions on, vol.55, pp.821-825, 2008.
[9]D.J. Love, R.W. Heath, Jr., T. Strohmer, “Grassmannian beamforming for multiple-input multiple-output wireless systems,” IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2735-2747. Oct. 2003.
[10]S. Sanayei and A. Nosratinia, “Antenna selection in MIMO systems,” IEEE Commun. Mag., vol. 42, no. 10, pp. 68-73, Oct. 2004.
[11]Simon Haykin, “Adaptive Filter Theory”
[12]Y.F. Chen, H.S. Tsai, J.W. Peng, “Effects of Adaptive Prediction Algorithms on Adaptive QAM in Flat Rayleigh Fading Channels,” in Proc. IEEE PIMRC, 2003, vol. 3, pp. 2446-2451.
[13]S. Hu, H. Hallen, and A. Duel-Hallen, “Physical Channel Modeling, Adaptive Prediction and Transmitter Diversity for Flat Fading Mobile Channel,” SPAWC’99, pp.387-390, May 1999.
[14]http://cobweb.ecn.purdue.edu/~djlove/grass.html