Title | ||
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Propagation characteristic prediction method confirmed by propagation measurement for indoor MIMO cooperative transmission systems |
Abstract | ||
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In this paper, to evaluate the basic performance of MI- MO cooperative transmission systems, a simple prediction method which calculation complexity is decreased for evaluating indoor MIMO cooperative transmission is pro- posed. 5.2 GHz indoor MIMO propagation measurements are carried out in line of sight condition. And the frequen- cy utilization efficiency and eigenvalues are evaluated by measurement data. Simple prediction method of MIMO channel matrix, which takes into account the phase differ- ence of direct waves based on the antenna position, is used to simulate the MIMO channel. The simulation results are then compared to the measurement results. Based on this comparison the proposed prediction method can accurate- ly estimate the characteristics of indoor MIMO coopera- tive transmission systems. Keyword MIMO , Cooperative Transmission , Frequency Utilization Efficiency , Indoor Propagation |
Year | DOI | Venue |
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2008 | 10.1109/PIMRC.2008.4699486 | Cannes |
Keywords | Field | DocType |
MIMO communication,eigenvalues and eigenfunctions,indoor radio,matrix algebra,radiowave propagation,MIMO channel matrix,antenna position,eigenvalue,frequency 5.2 GHz,frequency utilization efficiency,indoor MIMO cooperative transmission systems,multiple-input multiple-output system,propagation characteristic prediction method,propagation measurement,Cooperative Transmission,Frequency Utilization Efficiency,Indoor Propagation Characteristics,MIMO | Mimo channel matrix,Transmitter,3G MIMO,Mimo channel,Computer science,Control theory,MIMO,Electronic engineering,Real-time computing,Transmission system,Line-of-sight,Eigenvalues and eigenvectors | Conference |
ISBN | Citations | PageRank |
978-1-4244-2644-7 | 0 | 0.34 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wataru Yamada | 1 | 29 | 15.22 |
Naoki Kita | 2 | 15 | 9.62 |
Takatoshi Sugiyama | 3 | 48 | 17.44 |
Toshio Nojima | 4 | 13 | 9.63 |