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

电子信息学院

School of Electronics and Information
Northwestern Polytechnical University Xian
The School of Electronic and Information Engineering
Xi'an Jiaotong University
Louisiana State University
Georgia Institute of Technology
Huawei Technologies Co., Ltd.

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1-6
页数	6
ISBN（电子版）	9781509059355
DOI	https://doi.org/10.1109/VTCFall.2017.8288019
出版状态	已出版 - 2 7月 2017
活动	86th IEEE Vehicular Technology Conference, VTC 2017-Fall - Toronto, 加拿大期限: 24 9月 2017 → 27 9月 2017

丛书

姓名	IEEE Vehicular Technology Conference
卷	2017-September
ISSN（印刷版）	1090-3038

会议

会议	86th IEEE Vehicular Technology Conference, VTC 2017-Fall
国家/地区	加拿大
市	Toronto
时期	24/09/17 → 27/09/17

访问文件

10.1109/VTCFall.2017.8288019

其它文件与链接

链接到 Scopus 的出版物

引用此

Xie, Y., Li, B., Fan, J., Zhou, X., Li, G. Y., & Li, X. (2017). User grouping with load balance in FDD massive MIMO systems. 在 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (页码 1-6). (IEEE Vehicular Technology Conference; 卷 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 2017-Fall ; 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. 在 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, 卷 2017-September, Institute of Electrical and Electronics Engineers Inc., 页码 1-6, 86th IEEE Vehicular Technology Conference, VTC 2017-Fall, Toronto, 加拿大, 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 等.
2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 1-6 (IEEE Vehicular Technology Conference; 卷 2017-September).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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

AU - Xie, Yi

AU - Li, Bo

AU - Fan, Jiancun

AU - Zhou, Xiangwei

AU - Li, Geoffrey Ye

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.

UR - https://www.scopus.com/pages/publications/85045282346

U2 - 10.1109/VTCFall.2017.8288019

DO - 10.1109/VTCFall.2017.8288019

M3 - 会议稿件

AN - SCOPUS:85045282346

T3 - IEEE Vehicular Technology Conference

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BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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

Y2 - 24 September 2017 through 27 September 2017

ER -

User grouping with load balance in FDD massive MIMO systems

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