Title :
Performance modeling of MIMO OFDM systems via channel analysis
Author :
Gao, Jie ; Ozdural, O. Can ; Ardalan, Sasan H. ; Liu, Huaping
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR
fDate :
9/1/2006 12:00:00 AM
Abstract :
Multiple-input multiple-output (MIMO) antennas can be combined with orthogonal frequency division multiplexing (OFDM) to achieve diversity gain and/or to increase system spectral efficiency through spatial multiplexing. In this letter, we derive the probability density function (pdf) expressions of the condition number (i.e., the maximum-to-minimum-singular-value ratio, MMSVR) of the channel state information (CSI) matrix. We show that this ratio is directly related to the noise enhancement in open-loop MIMO systems and provides a significant insight on the overall system capacity. The pdf of this ratio could be used to predict the relative performances of various MIMO configurations without complex system-level simulations. The pdf can also be used to compute the probability of whether certain channels fail in the high-throughput mode. Extensive simulations are performed to validate the accuracy of the closed-form pdf of the MMSVR derived in this letter
Keywords :
MIMO systems; OFDM modulation; antenna arrays; channel capacity; diversity reception; matrix algebra; probability; MIMO OFDM systems; channel analysis; channel state information matrix; diversity gain; high-throughput mode; maximum-to-minimum-singular-value ratio; multiple-input multiple-output antennas; noise enhancement; open-loop MIMO systems; orthogonal frequency division multiplexing; probability density function expressions; spatial multiplexing; spectral efficiency; system capacity; Channel state information; Computational modeling; Diversity methods; Frequency division multiplexing; MIMO; OFDM; Performance analysis; Predictive models; Probability density function; Signal to noise ratio;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2006.1687758