Channel Characteristics and Performance of MIMO E-SDM Systems in an Indoor Time-Varying Fading Environment

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

doi:10.1155/2010/736962

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…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]. The walls of the room were mostly plasterboard.…”

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%

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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: Channel Measurement Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…If we divide the measuring distance (abscissa) by velocity v = 1.06 m/s, we have the channel autocorrelations versus time. The Doppler spectra of both the measured data and the Jakes' model were calculated by applying a 450-point discrete Fourier transform (DFT) process to the time domain channel autocorrelations after multiplying them by the Hamming window [34]. The Doppler spectrum in the NLOS environment shown in Fig.…”

Section: Channel Autocorrelations and Doppler Spectramentioning

confidence: 99%

Behavior of a Multi-User MIMO System in Time-Varying Environments

Ogawa

Yamaguchi

Bui

et al. 2013

IEICE Trans. Commun.

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SUMMARYWe evaluated the behavior of a multi-user multiple-input multiple-output (MIMO) system in time-varying channels using measured data. A base station for downlink or broadcast transmission requires downlink channel state information (CSI), which is outdated in time-varying environments and we encounter degraded performance due to interference. One of the countermeasures against time-variant environments is predicting channels with an autoregressive (AR) model-based method. We modified the AR prediction for a time division duplex system. We conducted measurement campaigns in indoor environments to verify the performance of the scheme of channel prediction in an actual environment and measured channel data. We obtained the bit-error rate (BER) using these data. The AR-model-based technique of prediction assuming the Jakes' model was found to reduce BER. Also, the optimum AR-model order was investigated by using the channel data we measured. key words: multi-user MIMO system, channel state information, timevarying environment, channel prediction, autoregressive (AR) model-based prediction

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“…A second and important novelty is the full polarimetric analysis of these Doppler characteristics. Although temporal variations of the indoor radio channel were previously described in [3]- [5], the impact of polarization on these variations was still omitted in these works.…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Analysis of Delay-Doppler Characteristics in an Indoor Environment

Hanssens

Tanghe

Martens

et al. 2016

IEEE Trans. Antennas Propagat.

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Abstract-An analysis of delay-Doppler characteristics in the presence of moving people is presented for short-range communication in an indoor environment. Channel sounding measurements have been carried out at 3.6 GHz in a crowded university hall during several short and long breaks in-between courses. During three consecutive days, the measurements were repeated with different positions for the transmit and receive antennas. In this study, the behavior of the maximum Doppler shift and the Doppler spread were analyzed in the time-delay domain as a function of the occupation of the hall, the polarizations of the 2×2 MIMO antennas, and their positions in the hall. The measurements reveal a clear distinction between the Doppler spread of the short and long breaks in the campaign, indicating a distinctive power distribution of their Doppler spectra. In addition, there is a significant contrast between the Doppler characteristics of the co-and cross-polarizations. Measurements at several positions reveal the importance of characterizing multipaths, and show that the Doppler effect depends on the position of the antennas in the environment. In addition, this work also shows that the Doppler spectrum can be accurately modeled by a Cauchy distribution, allowing for the generation of parameters to describe Doppler characteristics.

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Channel Characteristics and Performance of MIMO E-SDM Systems in an Indoor Time-Varying Fading Environment

Cited by 4 publications

References 18 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

Behavior of a Multi-User MIMO System in Time-Varying Environments

Measurement-Based Analysis of Delay-Doppler Characteristics in an Indoor Environment

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