2003
DOI: 10.1109/jsac.2003.810348
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Fading correlations in wireless MIMO communication systems

Abstract: We investigate the effects of fading correlations on wireless communication systems employing multiple antennas at both the receiver and the transmitter side of the link, so called multiple-input multiple-output (MIMO) systems. It turns out that the amount of transmitter sided channel knowledge plays an important part when dealing with fading correlations. Furthermore, the possible availability of time diversity in a time-selective channel can have essential influence on performance. To study the influence of … Show more

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Cited by 167 publications
(109 citation statements)
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“…Then, applying Theorem 11 in Appendix II to (20), we obtain where and are the characteristic coefficients of and , respectively. The effects of the spatial correlation and the number of effective scatterers on the SEP performance in MISO channels can be ascertained by referring to Fig.…”
Section: Miso Double Scatteringmentioning
confidence: 99%
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“…Then, applying Theorem 11 in Appendix II to (20), we obtain where and are the characteristic coefficients of and , respectively. The effects of the spatial correlation and the number of effective scatterers on the SEP performance in MISO channels can be ascertained by referring to Fig.…”
Section: Miso Double Scatteringmentioning
confidence: 99%
“…In [20], the so-called stochastic rank deficiency-meaning that the channel is rank deficient due to fading correlation, i.e., the correlation matrices have zero eigenvalues-was deemed as an important feature when dealing with fading correlation. However, this form of channel degeneracy cannot cover the case where the channel exhibits rank deficiency even when fading is uncorrelated.…”
mentioning
confidence: 99%
“…In general, an array gain is defined as the ratio between the received power in massive MIMO (P Massive MI MO re ) and the received power in MIMO system (P MI MO re ) [28], which is given by…”
Section: Array Gainmentioning
confidence: 99%
“…Various works have examined the impact of spatial correlation on the performance of communication systems by means of experimentation [30], [31], modeling [32], [33] and theoretical analysis [34]- [40]. Numerous works have characterized the effect of channel correlation in the performance and capacity of the wireless channels by mathematical analysis [34], [35], further focusing on linear receivers [36], [37], [40] using mainly random matrix theory [41], [42], [43].…”
Section: Introductionmentioning
confidence: 99%