2013
DOI: 10.1049/iet-com.2012.0752
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Measurement‐based analysis of cross‐layer adaptation for MIMO in mobile urban environments

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Cited by 4 publications
(4 citation statements)
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“…If the phase information is to be used in MIMO to estimate the K -factor, one must first estimate the phase variations of the dominant component resulting from antenna movement of the virtual array from those due to the diffuse components. This has been reported in practice [29] for straight line movement but is very complex for a MIMO geometry with body worn antennas and a circular BS array such as here tested.…”
Section: ) Characterization Of the Ricean Factormentioning
confidence: 83%
“…If the phase information is to be used in MIMO to estimate the K -factor, one must first estimate the phase variations of the dominant component resulting from antenna movement of the virtual array from those due to the diffuse components. This has been reported in practice [29] for straight line movement but is very complex for a MIMO geometry with body worn antennas and a circular BS array such as here tested.…”
Section: ) Characterization Of the Ricean Factormentioning
confidence: 83%
“…If the phase information is to be used in MIMO to estimate the K-factor, one must first estimate the phase variations of the dominant component resulting from the transmit antenna movement of the virtual array from those due to the diffuse components. This phase estimation has been reported in practice [81] for straight line movement but is very complex for a MIMO geometry with body worn antennas and a circular BS array such as here tested. Thus, given the difficulty of using phase information with body worn antennas, in this Thesis from now on, the amplitude-based estimatorK A , which is defined in expressions (3.26) and (3.27), will be employed.…”
Section: Characterization Of the K-factormentioning
confidence: 91%
“…To do it, it will be necessary to perform specific measurement campaigns considering specific movement geometries (i.e. straight line) as the one consider in [81].…”
Section: Future Directionsmentioning
confidence: 99%
“…Alamouti multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems have drawn significant interest because of their potential in achieving a high data rate, combating the fading effect in wireless communications and providing reliable performance of diversity [1][2][3][4]. However, the Alamouti MIMO-OFDM systems suffer from high peak-to-average power ratio (PAPR).…”
Section: Introductionmentioning
confidence: 99%