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

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姓名

許信賢(Hsin-Hsien Hsu) 查詢紙本館藏

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通訊工程學系

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)

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摘要(中)

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。

摘要(英)

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.

關鍵字(中)

★ 多輸入多輸出
★ 正交分頻多工

關鍵字(英)

★ MIMO
★ OFDM

論文目次

論文摘要 I
Abstract II
致謝 III
Contents IV
List of Figures VI
List of Tables IX
Chapter 1 Introduction 1
Chapter 2 System Model 5
2.1 Introduction to OFDM 5
2.1.1 OFDM basic concepts 5
2.1.2 Guard interval and cyclic extension 8
2.1.3 Windowing 10
2.1.4 OFDM transceiver Architecture 11
2.2 MIMO-OFDM with transmit beamforming and receive combining 13
2.2.1 MIMO system 13
2.2.2 MIMO-OFDM systems 14
2.2.3 Transmit beamforming and receive combination 15
2.3 IEEE 802.22 WRAN reference channel 17
Chapter 3 MIMO-OFDM Transmission Scheme for IEEE 802.22 WRAN 20
3.1 Grassmannian Beamforming 20
3.2 Antenna selection 21
3.3 Sub-carrier Grouping 25
3.4 RLS-based Adaptive Prediction 29
Chapter 4 Simulation Result 33
Chapter 5 Conclusion 49
Reference 50

參考文獻

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[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.
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[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

指導教授

陳永芳(Yung-Fang Chen)

審核日期

2009-8-27

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