Measurement-Based Evaluation of a Multiuser MIMO System in an Indoor Time-Varying Environment

Bui, Huu Phu; Ogawa, Yasutaka; Nishimura, Toshihiko; Ohgane, Takeo

doi:10.1109/vetecf.2010.5594155

Cited by 2 publications

(5 citation statements)

References 12 publications

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“…The BER performance for the TX-y/RX-y is much better than that for the TX-x/RX-x. As discussed in detail in reference [20], this is because higher received power was obtained with the TX-y/RX-y orientation due to the mutual coupling between antennas. It is seen that when the channel prediction scheme is used, the BER performance is improved almost to that in the ideal case for both array orientations.…”

Section: Ber Performance Of Multi-user Mimo Systemsmentioning

confidence: 95%

“…The measurement is the same as that stated in reference [20]. A similar measurement was conducted for a single-user MIMO system at the same site [19].…”

Section: Channel Measurement Setupmentioning

confidence: 99%

“…Also, singleuser MIMO systems [14]- [16] and multi-user ones [17], [18] have been investigated on the basis of measurements. We conducted measurement campaigns for a single-user MIMO system [19] and a multi-user one [20] in time-varying indoor environments. On the basis of the measured channel data, we evaluated bit-error rate (BER) performance of MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

“…However, even though a single isolated antenna has an omnidirectional pattern, the antenna element in an array has a different one. This is due to the effect of mutual coupling among antennas, and affects the BER performance [19], [20]. They were ignored in the simulations.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels

Bui

Ogawa

Nishimura

et al. 2013

IEEE Trans. Antennas Propagat.

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Abstract-In this paper, the performance of a multi-user multiple-input multiple-output (MIMO) system in time-varying channels is evaluated using measurement data. We consider the multi-user MIMO system using a block diagonalization (BD) scheme and an eigenbeam-space division multiplexing (E-SDM) technique. In an ideal case, the BD scheme eliminates inter-user interference, and the E-SDM technique suppresses inter-stream interference. In actual radio environments, however, channels change over time. This causes interference in the multi-user MIMO system even though the BD scheme and the E-SDM technique are used. To overcome this problem, the authors have developed a simple channel prediction scheme on the basis of a linear extrapolation and have demonstrated its effectiveness by computer simulations assuming the Jakes' model. To verify the performance of the channel prediction scheme in actual environments, we conducted a measurement campaign in indoor environments and measured a large amount of channel data. Using these data, we examined the channel transition and channel tracking with the prediction method. Then we obtained the biterror rate (BER) performance. The prediction technique was shown to track the channel and improve the BER performance almost to that in the ideal time invariant case.

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Section: Ber Performance Of Multi-user Mimo Systemsmentioning

confidence: 95%

“…The measurement is the same as that stated in reference [20]. A similar measurement was conducted for a single-user MIMO system at the same site [19].…”

Section: Channel Measurement Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels

Bui

Ogawa

Nishimura

et al. 2013

IEEE Trans. Antennas Propagat.

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“…Thus, the CSI for the actual downlink transmission is outdated, and we suffer from the IUI and IStI. Based on an indoor measurement campaign, we evaluated bit error rate (BER) performance of the multi-user MIMO system using the BD scheme and the E-SDM technique [8]. It has been clarified that the BER performance is significantly degraded in time-varying environments.…”

Section: Introductionmentioning

confidence: 99%

Multi-user MIMO system with channel prediction for time-varying environments

Bui

Ogawa

Nishimura

et al. 2011

2011 IEEE International Symposium on Antennas and Propagation (APSURSI)

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The performance of a downlink multi-user MIMO system seriously degrades in time-varying environments because MIMO channels change during the time interval between transmission parameter determination and actual MIMO transmission. Channel prediction techniques have been proposed to improve the performance in dynamic environments. In this paper, based on indoor measurement data, we show the effect of the linear channel extrapolation, and evaluate the bit error rate performance of the multi-user MIMO system with the channel prediction technique. 978-1-4244-9561-0/11/$26.00

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Measurement-Based Evaluation of a Multiuser MIMO System in an Indoor Time-Varying Environment

Cited by 2 publications

References 12 publications

Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels

Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels

Multi-user MIMO system with channel prediction for time-varying environments

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