Effect of correlation between azimuth spread and Rician K-factor on MIMO performance

Liu, Xilu; Siriteanu, Constantin; Yoshizawa, Shingo; Miyanaga, Yoshikazu

doi:10.1109/iscit.2010.5665116

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Cited by 3 publications

(1 citation statement)

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“…Space-time wireless technology that uses multiple antennas along with appropriate signaling and receiver techniques offers a powerful tool for improving wireless performance [1]. However, most previous MIMO assessments have relied on theoretical channel models that are not necessarily realistic [2], [3]. Thus, it is important to relax the channel assumptions to match reality.…”

Section: Introductionmentioning

confidence: 99%

MIMO precoding performance for correlated and estimated Rician fading

Shi

Siriteanu

Yoshizawa

et al. 2011

2011 11th International Symposium on Communications &Amp; Information Technologies (ISCIT)

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Section: Introductionmentioning

confidence: 99%

MIMO precoding performance for correlated and estimated Rician fading

Shi

Siriteanu

Yoshizawa

et al. 2011

2011 11th International Symposium on Communications &Amp; Information Technologies (ISCIT)

Self Cite

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MIMO Zero-Forcing Detection Performance for Correlated and Estimated Rician Fading with Lognormal Azimuth Spread and K-Factor

Siriteanu

Shi

Miyanaga

2011

2011 IEEE International Conference on Communications (ICC)

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MIMO propagation scenario discrimination for adaptive wireless communication systems

Hikiyama

Tsutsui

Miyanaga

2013

2013 13th International Symposium on Communications and Information Technologies (ISCIT)

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Recently, multiple-input multiple-output (MIMO) technologies are adopted to wireless communication systems for high-speed, large capacity and high reliability communications. However, there can be variations of communication quality and throughput performance, because MIMO technologies depend on propagation channel environments, where communication property widely changes. An optimal wireless communication systems design which adaptively changes transmission systems depending on channel propagation is effective to realize stable wireless communications therefore, it is important that a transceiver knows propagation environment accurately. In this paper, we propose a new discrimination method for MIMO propagation scenarios by using channel state information (CSI), where azimuth spread (AS) and K-Factor estimation are considered. In addition, we evaluate discrimination performance by simulation, and then we get a discrimination result of high accuracy.

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Effect of correlation between azimuth spread and Rician K-factor on MIMO performance

Cited by 3 publications

References 6 publications

MIMO precoding performance for correlated and estimated Rician fading

MIMO precoding performance for correlated and estimated Rician fading

MIMO Zero-Forcing Detection Performance for Correlated and Estimated Rician Fading with Lognormal Azimuth Spread and K-Factor

MIMO propagation scenario discrimination for adaptive wireless communication systems

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