Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz

Xiaonan Wang; Limin Xiao; Yan Zhang; Zunwen He

doi:10.1109/ICCT.2018.8600120

Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz

Xiaonan Wang
, Limin Xiao
, Yan Zhang
, Zunwen He

Beijing Institute of Technology
Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Massive multiple-input-multiple-output (MIMO) offers huge advantages in terms of energy efficiency, spectral efficiency, robustness, and reliability and has been considered as a leading 5G technology candidate. However, high cost and energy consumption are major challenges in massive MIMO systems. Antenna selection at the base station side by reducing the number of radio-frequency (RF) chains is a practical and effective technology to solve high cost and energy consumption problems. In this paper, we investigate indoor massive MIMO antenna selection based on the measured data in a indoor office scenario at 3.52 GHz by using a uniform linear array (ULA) with 128 transmit (Tx) antennas and 7 receiving (Rx) users. A convex optimization algorithm is applied to select optimal Tx antenna subset by maximizing dirty-paper coding (DPC) capacity. Then, the antenna selection system performance is researched. The investigation shows that indoor antenna selection based on measured data can both improve the system performance and reduce the cost.

Original language	English
Title of host publication	2018 18th IEEE International Conference on Communication Technology, ICCT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	573-577
Number of pages	5
ISBN (Electronic)	9781538676349
DOIs	https://doi.org/10.1109/ICCT.2018.8600120
State	Published - 2 Jan 2019
Externally published	Yes
Event	2018 18th IEEE International Conference on Communication Technology, ICCT 2018 - Chongqing, China Duration: 8 Oct 2018 → 11 Oct 2018

Publication series

Name	International Conference on Communication Technology Proceedings, ICCT
Volume	2019-October

Conference

Conference	2018 18th IEEE International Conference on Communication Technology, ICCT 2018
Country/Territory	China
City	Chongqing
Period	8/10/18 → 11/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Channel measurement
Convex optimization
DPC capacity
Massive MIMO
Tx antenna selection

Access to Document

10.1109/ICCT.2018.8600120

Cite this

Wang, X., Xiao, L., Zhang, Y., & He, Z. (2019). Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz. In 2018 18th IEEE International Conference on Communication Technology, ICCT 2018 (pp. 573-577). Article 8600120 (International Conference on Communication Technology Proceedings, ICCT; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCT.2018.8600120

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title = "Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz",

abstract = "Massive multiple-input-multiple-output (MIMO) offers huge advantages in terms of energy efficiency, spectral efficiency, robustness, and reliability and has been considered as a leading 5G technology candidate. However, high cost and energy consumption are major challenges in massive MIMO systems. Antenna selection at the base station side by reducing the number of radio-frequency (RF) chains is a practical and effective technology to solve high cost and energy consumption problems. In this paper, we investigate indoor massive MIMO antenna selection based on the measured data in a indoor office scenario at 3.52 GHz by using a uniform linear array (ULA) with 128 transmit (Tx) antennas and 7 receiving (Rx) users. A convex optimization algorithm is applied to select optimal Tx antenna subset by maximizing dirty-paper coding (DPC) capacity. Then, the antenna selection system performance is researched. The investigation shows that indoor antenna selection based on measured data can both improve the system performance and reduce the cost.",

keywords = "Channel measurement, Convex optimization, DPC capacity, Massive MIMO, Tx antenna selection",

author = "Xiaonan Wang and Limin Xiao and Yan Zhang and Zunwen He",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 18th IEEE International Conference on Communication Technology, ICCT 2018 ; Conference date: 08-10-2018 Through 11-10-2018",

year = "2019",

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doi = "10.1109/ICCT.2018.8600120",

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Wang, X, Xiao, L, Zhang, Y & He, Z 2019, Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz. in 2018 18th IEEE International Conference on Communication Technology, ICCT 2018., 8600120, International Conference on Communication Technology Proceedings, ICCT, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 573-577, 2018 18th IEEE International Conference on Communication Technology, ICCT 2018, Chongqing, China, 8/10/18. https://doi.org/10.1109/ICCT.2018.8600120

Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz. / Wang, Xiaonan; Xiao, Limin; Zhang, Yan et al.
2018 18th IEEE International Conference on Communication Technology, ICCT 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 573-577 8600120 (International Conference on Communication Technology Proceedings, ICCT; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Wang, Xiaonan

AU - Xiao, Limin

AU - Zhang, Yan

AU - He, Zunwen

PY - 2019/1/2

Y1 - 2019/1/2

N2 - Massive multiple-input-multiple-output (MIMO) offers huge advantages in terms of energy efficiency, spectral efficiency, robustness, and reliability and has been considered as a leading 5G technology candidate. However, high cost and energy consumption are major challenges in massive MIMO systems. Antenna selection at the base station side by reducing the number of radio-frequency (RF) chains is a practical and effective technology to solve high cost and energy consumption problems. In this paper, we investigate indoor massive MIMO antenna selection based on the measured data in a indoor office scenario at 3.52 GHz by using a uniform linear array (ULA) with 128 transmit (Tx) antennas and 7 receiving (Rx) users. A convex optimization algorithm is applied to select optimal Tx antenna subset by maximizing dirty-paper coding (DPC) capacity. Then, the antenna selection system performance is researched. The investigation shows that indoor antenna selection based on measured data can both improve the system performance and reduce the cost.

AB - Massive multiple-input-multiple-output (MIMO) offers huge advantages in terms of energy efficiency, spectral efficiency, robustness, and reliability and has been considered as a leading 5G technology candidate. However, high cost and energy consumption are major challenges in massive MIMO systems. Antenna selection at the base station side by reducing the number of radio-frequency (RF) chains is a practical and effective technology to solve high cost and energy consumption problems. In this paper, we investigate indoor massive MIMO antenna selection based on the measured data in a indoor office scenario at 3.52 GHz by using a uniform linear array (ULA) with 128 transmit (Tx) antennas and 7 receiving (Rx) users. A convex optimization algorithm is applied to select optimal Tx antenna subset by maximizing dirty-paper coding (DPC) capacity. Then, the antenna selection system performance is researched. The investigation shows that indoor antenna selection based on measured data can both improve the system performance and reduce the cost.

KW - Channel measurement

KW - Convex optimization

KW - DPC capacity

KW - Massive MIMO

KW - Tx antenna selection

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ER -

Wang X, Xiao L, Zhang Y, He Z. Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz. In 2018 18th IEEE International Conference on Communication Technology, ICCT 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 573-577. 8600120. (International Conference on Communication Technology Proceedings, ICCT). doi: 10.1109/ICCT.2018.8600120

Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz

Abstract

Publication series

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UN SDGs

Keywords

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