User grouping with load balance in FDD massive MIMO systems

Yi Xie; Bo Li; Jiancun Fan; Xiangwei Zhou; Geoffrey Ye Li; Xun Li

doi:10.1109/VTCFall.2017.8288019

User grouping with load balance in FDD massive MIMO systems

Yi Xie, Bo Li, Jiancun Fan, Xiangwei Zhou, Geoffrey Ye Li, Xun Li

School of Electronics and Information

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

3 Scopus citations

Abstract

In this paper, we consider a multiple dimension resources allocation problem, including user grouping in the spatial domain and resource blocks (RBs) allocation in the time-frequency domain, in a frequency-division-duplexing (FDD) massive MIMO system. We formulate an optimization problem on joint user grouping and resource allocation to maximize the system capacity. Then, we propose two user grouping methods with load balance to fully use the resources in each user group and a corresponding greedy resource allocation algorithm to verify the effectiveness of the user grouping methods. The simulation results demonstrate that the proposed schemes can obtain better performance over the existing ones and the optimal number of scheduled users can be obtained.

Original language	English
Title of host publication	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509059355
DOIs	https://doi.org/10.1109/VTCFall.2017.8288019
State	Published - 2 Jul 2017
Event	86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: 24 Sep 2017 → 27 Sep 2017

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-September
ISSN (Print)	1550-2252

Conference

Conference	86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/Territory	Canada
City	Toronto
Period	24/09/17 → 27/09/17

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10.1109/VTCFall.2017.8288019

Cite this

Xie, Y., Li, B., Fan, J., Zhou, X., Li, G. Y., & Li, X. (2017). User grouping with load balance in FDD massive MIMO systems. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (pp. 1-6). (IEEE Vehicular Technology Conference; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8288019

@inproceedings{7df8e35ee5db41bd972eb0a9b5ff20cc,

title = "User grouping with load balance in FDD massive MIMO systems",

abstract = "In this paper, we consider a multiple dimension resources allocation problem, including user grouping in the spatial domain and resource blocks (RBs) allocation in the time-frequency domain, in a frequency-division-duplexing (FDD) massive MIMO system. We formulate an optimization problem on joint user grouping and resource allocation to maximize the system capacity. Then, we propose two user grouping methods with load balance to fully use the resources in each user group and a corresponding greedy resource allocation algorithm to verify the effectiveness of the user grouping methods. The simulation results demonstrate that the proposed schemes can obtain better performance over the existing ones and the optimal number of scheduled users can be obtained.",

author = "Yi Xie and Bo Li and Jiancun Fan and Xiangwei Zhou and Li, {Geoffrey Ye} and Xun Li",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 86th IEEE Vehicular Technology Conference, VTC Fall 2017 ; Conference date: 24-09-2017 Through 27-09-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/VTCFall.2017.8288019",

language = "英语",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--6",

booktitle = "2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings",

}

Xie, Y, Li, B, Fan, J, Zhou, X, Li, GY & Li, X 2017, User grouping with load balance in FDD massive MIMO systems. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 24/09/17. https://doi.org/10.1109/VTCFall.2017.8288019

User grouping with load balance in FDD massive MIMO systems. / Xie, Yi; Li, Bo; Fan, Jiancun et al.
2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (IEEE Vehicular Technology Conference; Vol. 2017-September).

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

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T1 - User grouping with load balance in FDD massive MIMO systems

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AU - Li, Xun

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In this paper, we consider a multiple dimension resources allocation problem, including user grouping in the spatial domain and resource blocks (RBs) allocation in the time-frequency domain, in a frequency-division-duplexing (FDD) massive MIMO system. We formulate an optimization problem on joint user grouping and resource allocation to maximize the system capacity. Then, we propose two user grouping methods with load balance to fully use the resources in each user group and a corresponding greedy resource allocation algorithm to verify the effectiveness of the user grouping methods. The simulation results demonstrate that the proposed schemes can obtain better performance over the existing ones and the optimal number of scheduled users can be obtained.

AB - In this paper, we consider a multiple dimension resources allocation problem, including user grouping in the spatial domain and resource blocks (RBs) allocation in the time-frequency domain, in a frequency-division-duplexing (FDD) massive MIMO system. We formulate an optimization problem on joint user grouping and resource allocation to maximize the system capacity. Then, we propose two user grouping methods with load balance to fully use the resources in each user group and a corresponding greedy resource allocation algorithm to verify the effectiveness of the user grouping methods. The simulation results demonstrate that the proposed schemes can obtain better performance over the existing ones and the optimal number of scheduled users can be obtained.

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T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017

Y2 - 24 September 2017 through 27 September 2017

ER -

User grouping with load balance in FDD massive MIMO systems

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