DocumentCode :
2708412
Title :
Statistical Comparison of Capacity Predictions for Realistic MIMO Channels
Author :
Landon, David G. ; Furse, Cynthia M.
Author_Institution :
L-3 Commun., Salt Lake City, UT
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
4697
Lastpage :
4700
Abstract :
This paper compares the channel characterizations and extends to offer predictions of channel capacity in terms of its mean, outage, and peak levels. Each is estimated from Monte Carlo simulations via a modified Saleh-Valenzuela model and directly from parameter probability distributions. Both approaches yield consistent results, which suggest that channels will typically support at least 50% more peak per-channel capacity and 30 to 45% more average per-channel capacity than single-polarized elements offer, by using independently-fed, idealized dual-polarized, collocated elements
Keywords :
MIMO systems; Monte Carlo methods; antenna feeds; channel capacity; electromagnetic wave polarisation; statistical distributions; wireless channels; Monte Carlo simulations; channel capacity predictions; independently-fed idealized dual-polarized collocated elements; modified Saleh-Valenzuela model; multiple input multiple output systems; parameter probability distributions; realistic MIMO channels; Antenna measurements; Channel capacity; Cities and towns; MIMO; Polarization; Power system modeling; Predictive models; Sensitivity analysis; Statistics; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
Type :
conf
DOI :
10.1109/APS.2006.1711688
Filename :
1711688
Link To Document :
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