The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
시변 페이딩 환경에서 E-SDM(Eigenbeam-Space Division Multiplexing) 기술을 적용한 MIMO(Multiple-Input Multiple-Output) 시스템의 성능은 전송 가중치 행렬 사이의 시간 간격 동안 채널 변경으로 인해 저하될 수 있습니다. 결정 및 실제 데이터 전송. 채널 변화를 보상하기 위해 몇 가지 채널 예측 방법을 제안했습니다. 컴퓨터 생성 채널 데이터를 기반으로 한 시뮬레이션 결과는 풍부한 산란체가 있는 Jakes 모델을 가정하여 Rayleigh 페이딩 환경에서 예측 방법을 사용할 때 더 나은 성능을 얻을 수 있음을 보여주었습니다. 그러나 실제 MIMO 시스템은 LOS(line-of-sight) 환경에서 사용될 수 있으며, LOS가 아닌 경우에도 산란체가 수신기 및/또는 송신기 주변에 균일하게 분포되지 않을 수 있습니다. 또한 송신기와 수신기 모두에서 안테나 간의 상호 결합은 실제 구현에서 시스템 성능에 영향을 미치므로 무시할 수 없습니다. 우리는 채널 예측 기술을 평가하기 위해 5.2GHz 주파수 대역에서 MIMO 채널 측정 캠페인을 수행했습니다. 본 논문에서는 측정된 채널 데이터를 이용하여 실험 및 시뮬레이션 결과를 제시한다. 결과는 채널 예측 방법을 사용할 때 강력한 비트 오류율 성능이 얻어지며 이 방법은 Rayleigh 및 Rician 페이딩 환경 모두에서 사용할 수 있으며 최대 도플러 주파수를 알 필요가 없음을 보여줍니다.
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Huu Phu BUI, Hiroshi NISHIMOTO, Toshihiko NISHIMURA, Takeo OHGANE, Yasutaka OGAWA, "Performance of MIMO E-SDM Systems Using Channel Prediction in Actual Time-Varying Indoor Fading Environments" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 6, pp. 1713-1723, June 2008, doi: 10.1093/ietcom/e91-b.6.1713.
Abstract: In time-varying fading environments, the performance of multiple-input multiple-output (MIMO) systems applying an eigenbeam-space division multiplexing (E-SDM) technique may be degraded due to a channel change during the time interval between the transmit weight matrix determination and the actual data transmission. To compensate for the channel change, we have proposed some channel prediction methods. Simulation results based on computer-generated channel data showed that better performance can be obtained when using the prediction methods in Rayleigh fading environments assuming the Jakes model with rich scatterers. However, actual MIMO systems may be used in line-of-sight (LOS) environments, and even in a non-LOS case, scatterers may not be uniformly distributed around a receiver and/or a transmitter. In addition, mutual coupling between antennas at both the transmitter and the receiver cannot be ignored as it affects the system performance in actual implementation. We conducted MIMO channel measurement campaigns at a 5.2 GHz frequency band to evaluate the channel prediction techniques. In this paper, we present the experiment and simulation results using the measured channel data. The results show that robust bit-error rate performance is obtained when using the channel prediction methods and that the methods can be used in both Rayleigh and Rician fading environments, and do not need to know the maximum Doppler frequency.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.6.1713/_p
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@ARTICLE{e91-b_6_1713,
author={Huu Phu BUI, Hiroshi NISHIMOTO, Toshihiko NISHIMURA, Takeo OHGANE, Yasutaka OGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance of MIMO E-SDM Systems Using Channel Prediction in Actual Time-Varying Indoor Fading Environments},
year={2008},
volume={E91-B},
number={6},
pages={1713-1723},
abstract={In time-varying fading environments, the performance of multiple-input multiple-output (MIMO) systems applying an eigenbeam-space division multiplexing (E-SDM) technique may be degraded due to a channel change during the time interval between the transmit weight matrix determination and the actual data transmission. To compensate for the channel change, we have proposed some channel prediction methods. Simulation results based on computer-generated channel data showed that better performance can be obtained when using the prediction methods in Rayleigh fading environments assuming the Jakes model with rich scatterers. However, actual MIMO systems may be used in line-of-sight (LOS) environments, and even in a non-LOS case, scatterers may not be uniformly distributed around a receiver and/or a transmitter. In addition, mutual coupling between antennas at both the transmitter and the receiver cannot be ignored as it affects the system performance in actual implementation. We conducted MIMO channel measurement campaigns at a 5.2 GHz frequency band to evaluate the channel prediction techniques. In this paper, we present the experiment and simulation results using the measured channel data. The results show that robust bit-error rate performance is obtained when using the channel prediction methods and that the methods can be used in both Rayleigh and Rician fading environments, and do not need to know the maximum Doppler frequency.},
keywords={},
doi={10.1093/ietcom/e91-b.6.1713},
ISSN={1745-1345},
month={June},}
부
TY - JOUR
TI - Performance of MIMO E-SDM Systems Using Channel Prediction in Actual Time-Varying Indoor Fading Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 1713
EP - 1723
AU - Huu Phu BUI
AU - Hiroshi NISHIMOTO
AU - Toshihiko NISHIMURA
AU - Takeo OHGANE
AU - Yasutaka OGAWA
PY - 2008
DO - 10.1093/ietcom/e91-b.6.1713
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2008
AB - In time-varying fading environments, the performance of multiple-input multiple-output (MIMO) systems applying an eigenbeam-space division multiplexing (E-SDM) technique may be degraded due to a channel change during the time interval between the transmit weight matrix determination and the actual data transmission. To compensate for the channel change, we have proposed some channel prediction methods. Simulation results based on computer-generated channel data showed that better performance can be obtained when using the prediction methods in Rayleigh fading environments assuming the Jakes model with rich scatterers. However, actual MIMO systems may be used in line-of-sight (LOS) environments, and even in a non-LOS case, scatterers may not be uniformly distributed around a receiver and/or a transmitter. In addition, mutual coupling between antennas at both the transmitter and the receiver cannot be ignored as it affects the system performance in actual implementation. We conducted MIMO channel measurement campaigns at a 5.2 GHz frequency band to evaluate the channel prediction techniques. In this paper, we present the experiment and simulation results using the measured channel data. The results show that robust bit-error rate performance is obtained when using the channel prediction methods and that the methods can be used in both Rayleigh and Rician fading environments, and do not need to know the maximum Doppler frequency.
ER -