This paper proposes a novel method of reducing channel state information (CSI) feedback by using transmit antenna selection for downlink multiuser multiple input multiple output (DL-MU-MIMO) transmission in dense distributed antenna systems. It is widely known that DL-MU-MIMO transmission achieves higher total bit-rate by mitigating inter-user interference based on pre-coding techniques. The pre-coding techniques require CSI between access point (AP) and multiple users. However, overhead for CSI acquisition degrades the transmission efficiency of DL-MU-MIMO transmission. In the proposed CSI feedback reduction method, AP first selects the antenna set that maximizes the received power at each user, second it skips the sequence of CSI feedback for users whose signal to interference power ratio is larger than a threshold, and finally it performs DL-MU-MIMO transmission to multiple users by using the selected antenna set. To clarify the proposed method, we evaluate it by computer simulations in an indoor scenario. The results show that the proposed method can offer higher transmission efficiency than the conventional DL-MU-MIMO transmission with the usual CSI feedback method.
Tomoki MURAKAMI
NTT Access Network Service Systems Laboratories
Koichi ISHIHARA
NTT Access Network Service Systems Laboratories
Yasushi TAKATORI
NTT Access Network Service Systems Laboratories
Masato MIZOGUCHI
NTT Access Network Service Systems Laboratories
Kentaro NISHIMORI
Niigata University
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Tomoki MURAKAMI, Koichi ISHIHARA, Yasushi TAKATORI, Masato MIZOGUCHI, Kentaro NISHIMORI, "CSI Feedback Reduction Method for Downlink Multiuser MIMO Transmission Using Dense Distributed Antenna Selection" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 2, pp. 426-433, February 2018, doi: 10.1587/transcom.2017ISP0014.
Abstract: This paper proposes a novel method of reducing channel state information (CSI) feedback by using transmit antenna selection for downlink multiuser multiple input multiple output (DL-MU-MIMO) transmission in dense distributed antenna systems. It is widely known that DL-MU-MIMO transmission achieves higher total bit-rate by mitigating inter-user interference based on pre-coding techniques. The pre-coding techniques require CSI between access point (AP) and multiple users. However, overhead for CSI acquisition degrades the transmission efficiency of DL-MU-MIMO transmission. In the proposed CSI feedback reduction method, AP first selects the antenna set that maximizes the received power at each user, second it skips the sequence of CSI feedback for users whose signal to interference power ratio is larger than a threshold, and finally it performs DL-MU-MIMO transmission to multiple users by using the selected antenna set. To clarify the proposed method, we evaluate it by computer simulations in an indoor scenario. The results show that the proposed method can offer higher transmission efficiency than the conventional DL-MU-MIMO transmission with the usual CSI feedback method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017ISP0014/_p
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@ARTICLE{e101-b_2_426,
author={Tomoki MURAKAMI, Koichi ISHIHARA, Yasushi TAKATORI, Masato MIZOGUCHI, Kentaro NISHIMORI, },
journal={IEICE TRANSACTIONS on Communications},
title={CSI Feedback Reduction Method for Downlink Multiuser MIMO Transmission Using Dense Distributed Antenna Selection},
year={2018},
volume={E101-B},
number={2},
pages={426-433},
abstract={This paper proposes a novel method of reducing channel state information (CSI) feedback by using transmit antenna selection for downlink multiuser multiple input multiple output (DL-MU-MIMO) transmission in dense distributed antenna systems. It is widely known that DL-MU-MIMO transmission achieves higher total bit-rate by mitigating inter-user interference based on pre-coding techniques. The pre-coding techniques require CSI between access point (AP) and multiple users. However, overhead for CSI acquisition degrades the transmission efficiency of DL-MU-MIMO transmission. In the proposed CSI feedback reduction method, AP first selects the antenna set that maximizes the received power at each user, second it skips the sequence of CSI feedback for users whose signal to interference power ratio is larger than a threshold, and finally it performs DL-MU-MIMO transmission to multiple users by using the selected antenna set. To clarify the proposed method, we evaluate it by computer simulations in an indoor scenario. The results show that the proposed method can offer higher transmission efficiency than the conventional DL-MU-MIMO transmission with the usual CSI feedback method.},
keywords={},
doi={10.1587/transcom.2017ISP0014},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - CSI Feedback Reduction Method for Downlink Multiuser MIMO Transmission Using Dense Distributed Antenna Selection
T2 - IEICE TRANSACTIONS on Communications
SP - 426
EP - 433
AU - Tomoki MURAKAMI
AU - Koichi ISHIHARA
AU - Yasushi TAKATORI
AU - Masato MIZOGUCHI
AU - Kentaro NISHIMORI
PY - 2018
DO - 10.1587/transcom.2017ISP0014
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2018
AB - This paper proposes a novel method of reducing channel state information (CSI) feedback by using transmit antenna selection for downlink multiuser multiple input multiple output (DL-MU-MIMO) transmission in dense distributed antenna systems. It is widely known that DL-MU-MIMO transmission achieves higher total bit-rate by mitigating inter-user interference based on pre-coding techniques. The pre-coding techniques require CSI between access point (AP) and multiple users. However, overhead for CSI acquisition degrades the transmission efficiency of DL-MU-MIMO transmission. In the proposed CSI feedback reduction method, AP first selects the antenna set that maximizes the received power at each user, second it skips the sequence of CSI feedback for users whose signal to interference power ratio is larger than a threshold, and finally it performs DL-MU-MIMO transmission to multiple users by using the selected antenna set. To clarify the proposed method, we evaluate it by computer simulations in an indoor scenario. The results show that the proposed method can offer higher transmission efficiency than the conventional DL-MU-MIMO transmission with the usual CSI feedback method.
ER -