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Channel Estimation and Achievable Rate of Massive MU-MIMO Systems with IQ Imbalance
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Summary :
In-phase and quadrature-phase imbalance (IQI) at transceivers is one of the serious hardware impairments degrading system performance. In this paper, we study the overall performance of massive multi-user multi-input multi-output (MU-MIMO) systems with IQI at both the base station (BS) and user equipments (UEs), including the estimation of channel state information, required at the BS for the precoding design. We also adopt a widely-linear precoding based on the real-valued channel model to make better use of the image components of the received signal created by IQI. Of particular importance, we propose estimators of the real-valued channel and derive the closed-form expression of the achievable downlink rate. Both the analytical and simulation results show that IQI at the UEs limits the dowlink rate to finite ceilings even when an infinite number of BS antennas is available, and the results also prove that the widely-linear precoding based on the proposed channel estimation method can improve the overall performance of massive MU-MIMO systems with IQI.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.8 pp.1512-1525
- Publication Date
- 2019/08/01
- Publicized
- 2019/02/20
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018TTP0001
- Type of Manuscript
- Special Section PAPER (Special Section on Technology Trials and Proof-of-Concept Activities for 5G and Beyond)
- Category
Authors
Nana ZHANG
University of Science and Technology of China
Huarui YIN
University of Science and Technology of China
Weidong WANG
University of Science and Technology of China
Suhua TANG
University of Electro-Communications
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Nana ZHANG, Huarui YIN, Weidong WANG, Suhua TANG, "Channel Estimation and Achievable Rate of Massive MU-MIMO Systems with IQ Imbalance" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 8, pp. 1512-1525, August 2019, doi: 10.1587/transcom.2018TTP0001.
Abstract: In-phase and quadrature-phase imbalance (IQI) at transceivers is one of the serious hardware impairments degrading system performance. In this paper, we study the overall performance of massive multi-user multi-input multi-output (MU-MIMO) systems with IQI at both the base station (BS) and user equipments (UEs), including the estimation of channel state information, required at the BS for the precoding design. We also adopt a widely-linear precoding based on the real-valued channel model to make better use of the image components of the received signal created by IQI. Of particular importance, we propose estimators of the real-valued channel and derive the closed-form expression of the achievable downlink rate. Both the analytical and simulation results show that IQI at the UEs limits the dowlink rate to finite ceilings even when an infinite number of BS antennas is available, and the results also prove that the widely-linear precoding based on the proposed channel estimation method can improve the overall performance of massive MU-MIMO systems with IQI.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018TTP0001/_p
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@ARTICLE{e102-b_8_1512,
author={Nana ZHANG, Huarui YIN, Weidong WANG, Suhua TANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation and Achievable Rate of Massive MU-MIMO Systems with IQ Imbalance},
year={2019},
volume={E102-B},
number={8},
pages={1512-1525},
abstract={In-phase and quadrature-phase imbalance (IQI) at transceivers is one of the serious hardware impairments degrading system performance. In this paper, we study the overall performance of massive multi-user multi-input multi-output (MU-MIMO) systems with IQI at both the base station (BS) and user equipments (UEs), including the estimation of channel state information, required at the BS for the precoding design. We also adopt a widely-linear precoding based on the real-valued channel model to make better use of the image components of the received signal created by IQI. Of particular importance, we propose estimators of the real-valued channel and derive the closed-form expression of the achievable downlink rate. Both the analytical and simulation results show that IQI at the UEs limits the dowlink rate to finite ceilings even when an infinite number of BS antennas is available, and the results also prove that the widely-linear precoding based on the proposed channel estimation method can improve the overall performance of massive MU-MIMO systems with IQI.},
keywords={},
doi={10.1587/transcom.2018TTP0001},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Channel Estimation and Achievable Rate of Massive MU-MIMO Systems with IQ Imbalance
T2 - IEICE TRANSACTIONS on Communications
SP - 1512
EP - 1525
AU - Nana ZHANG
AU - Huarui YIN
AU - Weidong WANG
AU - Suhua TANG
PY - 2019
DO - 10.1587/transcom.2018TTP0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2019
AB - In-phase and quadrature-phase imbalance (IQI) at transceivers is one of the serious hardware impairments degrading system performance. In this paper, we study the overall performance of massive multi-user multi-input multi-output (MU-MIMO) systems with IQI at both the base station (BS) and user equipments (UEs), including the estimation of channel state information, required at the BS for the precoding design. We also adopt a widely-linear precoding based on the real-valued channel model to make better use of the image components of the received signal created by IQI. Of particular importance, we propose estimators of the real-valued channel and derive the closed-form expression of the achievable downlink rate. Both the analytical and simulation results show that IQI at the UEs limits the dowlink rate to finite ceilings even when an infinite number of BS antennas is available, and the results also prove that the widely-linear precoding based on the proposed channel estimation method can improve the overall performance of massive MU-MIMO systems with IQI.
ER -
English
