Performance modeling of MIMO OFDM systems via channel analysis
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...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2006-09, Vol.5 (9), p.2358-2362 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Jie Gao Ozdural, O.C. Ardalan, S.H. Huaping Liu |
| description | 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 |
| doi_str_mv | 10.1109/TWC.2006.1687758 |
| format | Article |
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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. 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| source | IEEE Electronic Library (IEL) |
| subjects | Antennas Applied sciences Channel state information Channels Computational modeling Computer simulation Diversity methods Exact sciences and technology Frequency division multiplexing Mathematical analysis MIMO Multiplexing OFDM Orthogonal Frequency Division Multiplexing Performance analysis Predictive models Probability density function Probability density functions Radiocommunications Signal to noise ratio Spectra Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
| title | Performance modeling of MIMO OFDM systems via channel analysis |
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