IEICE TRANSACTIONS on Communications
Performance Analysis on the Uplink of Massive MIMO Systems with Superimposed Pilots and Arbitrary-Bit ADCs
Summary :
This paper studies the performance of quantized massive multiple-input multiple-output (MIMO) systems with superimposed pilots (SP), using linear minimum mean-square-error (LMMSE) channel estimation and maximum ratio combining (MRC) detection. In contrast to previous works, arbitrary-bit analog-to-digital converters (ADCs) are considered. We derive an accurate approximation of the uplink achievable rate considering the removal of estimated pilots. Based on the analytical expression, the optimal pilot power factor that maximizes the achievable rate is deduced and an expression for energy efficiency (EE) is given. In addition, the achievable rate and the optimal power allocation policy under some asymptotic limits are analyzed. Analysis shows that the systems with higher-resolution ADCs or larger number of base station (BS) antennas need to allocate more power to pilots. In contrast, more power needs to be allocated to data when the channel is slowly varying. Numerical results show that in the low signal-to-noise ratio (SNR) region, for 1-bit quantizers, SP outperforms time-multiplexed pilots (TP) in most cases, while for systems with higher-resolution ADCs, the SP scheme is suitable for the scenarios with comparatively small number of BS antennas and relatively long channel coherence time.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.5 pp.629-637
- Publication Date
- 2022/05/01
- Publicized
- 2021/10/28
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3085
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Chen CHEN
Jiangsu University,Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace
Wence ZHANG
Jiangsu University,Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace
Xu BAO
Jiangsu University,Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace
Jing XIA
Jiangsu University,Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace
Keyword
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Chen CHEN, Wence ZHANG, Xu BAO, Jing XIA, "Performance Analysis on the Uplink of Massive MIMO Systems with Superimposed Pilots and Arbitrary-Bit ADCs" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 5, pp. 629-637, May 2022, doi: 10.1587/transcom.2021EBP3085.
Abstract: This paper studies the performance of quantized massive multiple-input multiple-output (MIMO) systems with superimposed pilots (SP), using linear minimum mean-square-error (LMMSE) channel estimation and maximum ratio combining (MRC) detection. In contrast to previous works, arbitrary-bit analog-to-digital converters (ADCs) are considered. We derive an accurate approximation of the uplink achievable rate considering the removal of estimated pilots. Based on the analytical expression, the optimal pilot power factor that maximizes the achievable rate is deduced and an expression for energy efficiency (EE) is given. In addition, the achievable rate and the optimal power allocation policy under some asymptotic limits are analyzed. Analysis shows that the systems with higher-resolution ADCs or larger number of base station (BS) antennas need to allocate more power to pilots. In contrast, more power needs to be allocated to data when the channel is slowly varying. Numerical results show that in the low signal-to-noise ratio (SNR) region, for 1-bit quantizers, SP outperforms time-multiplexed pilots (TP) in most cases, while for systems with higher-resolution ADCs, the SP scheme is suitable for the scenarios with comparatively small number of BS antennas and relatively long channel coherence time.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3085/_p
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@ARTICLE{e105-b_5_629,
author={Chen CHEN, Wence ZHANG, Xu BAO, Jing XIA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis on the Uplink of Massive MIMO Systems with Superimposed Pilots and Arbitrary-Bit ADCs},
year={2022},
volume={E105-B},
number={5},
pages={629-637},
abstract={This paper studies the performance of quantized massive multiple-input multiple-output (MIMO) systems with superimposed pilots (SP), using linear minimum mean-square-error (LMMSE) channel estimation and maximum ratio combining (MRC) detection. In contrast to previous works, arbitrary-bit analog-to-digital converters (ADCs) are considered. We derive an accurate approximation of the uplink achievable rate considering the removal of estimated pilots. Based on the analytical expression, the optimal pilot power factor that maximizes the achievable rate is deduced and an expression for energy efficiency (EE) is given. In addition, the achievable rate and the optimal power allocation policy under some asymptotic limits are analyzed. Analysis shows that the systems with higher-resolution ADCs or larger number of base station (BS) antennas need to allocate more power to pilots. In contrast, more power needs to be allocated to data when the channel is slowly varying. Numerical results show that in the low signal-to-noise ratio (SNR) region, for 1-bit quantizers, SP outperforms time-multiplexed pilots (TP) in most cases, while for systems with higher-resolution ADCs, the SP scheme is suitable for the scenarios with comparatively small number of BS antennas and relatively long channel coherence time.},
keywords={},
doi={10.1587/transcom.2021EBP3085},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Performance Analysis on the Uplink of Massive MIMO Systems with Superimposed Pilots and Arbitrary-Bit ADCs
T2 - IEICE TRANSACTIONS on Communications
SP - 629
EP - 637
AU - Chen CHEN
AU - Wence ZHANG
AU - Xu BAO
AU - Jing XIA
PY - 2022
DO - 10.1587/transcom.2021EBP3085
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2022
AB - This paper studies the performance of quantized massive multiple-input multiple-output (MIMO) systems with superimposed pilots (SP), using linear minimum mean-square-error (LMMSE) channel estimation and maximum ratio combining (MRC) detection. In contrast to previous works, arbitrary-bit analog-to-digital converters (ADCs) are considered. We derive an accurate approximation of the uplink achievable rate considering the removal of estimated pilots. Based on the analytical expression, the optimal pilot power factor that maximizes the achievable rate is deduced and an expression for energy efficiency (EE) is given. In addition, the achievable rate and the optimal power allocation policy under some asymptotic limits are analyzed. Analysis shows that the systems with higher-resolution ADCs or larger number of base station (BS) antennas need to allocate more power to pilots. In contrast, more power needs to be allocated to data when the channel is slowly varying. Numerical results show that in the low signal-to-noise ratio (SNR) region, for 1-bit quantizers, SP outperforms time-multiplexed pilots (TP) in most cases, while for systems with higher-resolution ADCs, the SP scheme is suitable for the scenarios with comparatively small number of BS antennas and relatively long channel coherence time.
ER -
English
