多輸入多輸出通道之分析探討及其在無線通訊領域之應用

隨著無線通訊多媒體服務的需求遽增，提供高速傳輸成為系統業者責無旁貸的任務。最近，多輸入多輸出傳輸技術已被證明，相對於傳統單一輸入單一輸出系統，它可以大幅提升系統容量。除了來自於空間分集的效能提升和傳輸距離的改善，這項技術利用多路徑傳播的特性，建立平行的等效通道來傳送資料，因而使系統在有限頻寬下，大大地提升傳輸速率。由於它的效能改善以及較高的頻譜使用效率，因此無論在行動通訊系統（3G Long Term Evolution）抑或無線區域網路（IEEE 802.11n），皆將多輸入多輸出技術納入下一代之傳輸標準。有線與無線通訊最大的差異在於通道的不同。在無線通訊系統中，通道對於傳輸效能之優劣扮演了相當關鍵的角色。因此，掌握無線環境中的通道特性成為一項重要的課題。傳統上，單一輸入單一輸出的通道可以被兩個維度的統計特性所描述，即時域和頻域；而當我們考慮多天線系統架構時，第三個維度—亦即空間—上的通道特徵則成為另一項我們不可忽略且必須了解的因素。一個精確的通道模型不僅幫助我們進一步透析無線電傳播的性質，並且它還能提供評估、甚至預測系統效能的方法。本論文將概要的介紹一些在文獻上已被提出的空間通道模型，並且完整地分析室內和室外多輸入多輸出通道的統計特性，另外還提出幾種較有效率的方法來產生多輸入多輸出通道。藉由通道模型的分析探討，我們能較容易地找出系統效能下降的原因，從而設計強健的傳送接收機來抵抗通道衰落或干擾。

關鍵字

多輸入多輸出；多路徑傳播；通道模型；通道認知；通道產生；通道量測；空時相關函數；空頻相關函數；多輸入多輸出通道容量

並列摘要

As the demand on wireless multi-media increases, it becomes indispensable for service providers to provide high-data-rate transmissions. Recently, multiple-input multiple-output (MIMO) technology is shown to have tremendous capacity enhancement over single-input single-output (SISO) systems. This technique gains from spatial diversity and increases transmission range. It also exploits multipath propagation to create parallel channels to convey information, and thereby the data rate is increased without consuming extra radio frequency. Due to its compelling performance enhancement and high spectral efficiency, the MIMO technology has been adopted by different wireless communications standards, no matter in cellular systems (3G Long Term Evolution) or in wireless local area networks (IEEE 802.11n task group). The greatest difference between wired and wireless communications lies on the channel. In wireless communication systems, channels play an important role on transmission performance. Therefore, it is essential for us to know well the channel behaviors in a wireless environment. Traditionally, the SISO channel is described by the statistics along two dimensions: time and frequency. As the multi-antenna technology is taken into account, to capture the additional characteristics along the third dimension—space—is necessary. Modeling the channel accurately can not only help us gain more insights about radio propagation but also provides an approach to evaluate or even predict system performance. This thesis gives an overview of spatial channel models developed in literature, and thoroughly analyzes the statistical behaviors of indoor and outdoor MIMO channels. We also propose several methods to generate MIMO channels more efficiently. By means of channel understanding, it will become easier to find out the causes of performance degradation and thereby design a robust transceiver to combat fading and interferences.

並列關鍵字

Multiple-input multiple-output (MIMO) ； multipath propagation ； channel modeling ； channel understanding ； channel generation ； channel measurement ； space-time correlation function ； space-frequency correlation function ； MIMO capacity

參考文獻

[1] S. Roy, J. R. Foerster, V. S. Somayazulu, and D. G. Leeper, “Ultrawideband radio design: the promise high-speed, short-range wireless connectivity,” Proc. IEEE, vol. 92, pp. 295-311, Feb. 2004.

[2] E. Telatar, “Capacity of multi-antenna Gaussian channels,” Euro. Trans. Commun., vol. 10, pp. 585-595, Nov.-Dec. 1999.

[3] J. C. Liberti and T. S. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications, New Jersey: Prentice Hall, 1999.

[4] K. E. Baddour and N. C. Beaulieu, “Accurate simulation of multiple cross-correlated fading channels,” in Proc. IEEE ICC’02, pp. 267-271, 2002.

[5] A. Paulraj, R. Nabar, D. Gore, Introduction to Space-Time Wireless Communications, Cambridge University Press, 2003.

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多輸入多輸出通道之分析探討及其在無線通訊領域之應用

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