Multiple-Input Multiple-Output (MIMO) Channel Understanding and Its Applications to Wireless Communications
Date Issued
2006
Date
2006
Author(s)
Chen, Po-Ying
DOI
en-US
Abstract
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.
Subjects
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
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
Type
thesis
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