Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association

Imran Akhtar; Lixin Li; Fucheng Yang; Xu Li; Ang Gao; Wei Chen; Zhu Han

doi:10.1109/IWCMC.2018.8450379

Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association

Imran Akhtar
, Lixin Li
, Fucheng Yang
, Xu Li
, Ang Gao
, Wei Chen
, Zhu Han

School of Electronics and Information

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

2 Scopus citations

Abstract

Massive multiple-input multiple-output (massive MIMO) and the millimeter wave (mmWave) communication are known to be among the key technologies for the fifth generation (5G) mobile networks. The implementation of massive MIMO with the mmWave architecture requires the utilization of hybrid precoding technique with a low dimensional digital precoder and a high dimensional analog precoder. In this paper, we investigate the hybrid precoding design problem for the case of cooperative multicell multiuser massive MIMO system. This problem is formulated with the consideration of the user and base station (BS) association problem, and we propose an iterative algorithm to solve the formulated problem. The precoding problem is solved using the Eigen precoding algorithm whereas the Lagrangian based approach is proposed for the solution of the association problem. Simulation results show that our proposed solution can achieve higher energy efficiency and convergence rate.

Original language	English
Title of host publication	2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	418-423
Number of pages	6
ISBN (Print)	9781538620700
DOIs	https://doi.org/10.1109/IWCMC.2018.8450379
State	Published - 28 Aug 2018
Event	14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 - Limassol, Cyprus Duration: 25 Jun 2018 → 29 Jun 2018

Publication series

Name	2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

Conference

Conference	14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Country/Territory	Cyprus
City	Limassol
Period	25/06/18 → 29/06/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cooperative multicell multiuser massive MIMO
hybrid precoding
multi base station association

Access to Document

10.1109/IWCMC.2018.8450379

Cite this

Akhtar, I., Li, L., Yang, F., Li, X., Gao, A., Chen, W., & Han, Z. (2018). Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association. In 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 (pp. 418-423). Article 8450379 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2018.8450379

Akhtar, Imran ; Li, Lixin ; Yang, Fucheng et al. / Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association. 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 418-423 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018).

@inproceedings{fa108593416a461fa362e717ec7a188c,

title = "Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association",

abstract = "Massive multiple-input multiple-output (massive MIMO) and the millimeter wave (mmWave) communication are known to be among the key technologies for the fifth generation (5G) mobile networks. The implementation of massive MIMO with the mmWave architecture requires the utilization of hybrid precoding technique with a low dimensional digital precoder and a high dimensional analog precoder. In this paper, we investigate the hybrid precoding design problem for the case of cooperative multicell multiuser massive MIMO system. This problem is formulated with the consideration of the user and base station (BS) association problem, and we propose an iterative algorithm to solve the formulated problem. The precoding problem is solved using the Eigen precoding algorithm whereas the Lagrangian based approach is proposed for the solution of the association problem. Simulation results show that our proposed solution can achieve higher energy efficiency and convergence rate.",

keywords = "Cooperative multicell multiuser massive MIMO, hybrid precoding, multi base station association",

author = "Imran Akhtar and Lixin Li and Fucheng Yang and Xu Li and Ang Gao and Wei Chen and Zhu Han",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 ; Conference date: 25-06-2018 Through 29-06-2018",

year = "2018",

month = aug,

day = "28",

doi = "10.1109/IWCMC.2018.8450379",

language = "英语",

isbn = "9781538620700",

series = "2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018",

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

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Akhtar, I, Li, L, Yang, F, Li, X, Gao, A, Chen, W & Han, Z 2018, Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association. in 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018., 8450379, 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 418-423, 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, 25/06/18. https://doi.org/10.1109/IWCMC.2018.8450379

Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association. / Akhtar, Imran; Li, Lixin; Yang, Fucheng et al.
2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 418-423 8450379 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018).

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

TY - GEN

T1 - Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association

AU - Akhtar, Imran

AU - Li, Lixin

AU - Yang, Fucheng

AU - Li, Xu

AU - Gao, Ang

AU - Chen, Wei

AU - Han, Zhu

PY - 2018/8/28

Y1 - 2018/8/28

N2 - Massive multiple-input multiple-output (massive MIMO) and the millimeter wave (mmWave) communication are known to be among the key technologies for the fifth generation (5G) mobile networks. The implementation of massive MIMO with the mmWave architecture requires the utilization of hybrid precoding technique with a low dimensional digital precoder and a high dimensional analog precoder. In this paper, we investigate the hybrid precoding design problem for the case of cooperative multicell multiuser massive MIMO system. This problem is formulated with the consideration of the user and base station (BS) association problem, and we propose an iterative algorithm to solve the formulated problem. The precoding problem is solved using the Eigen precoding algorithm whereas the Lagrangian based approach is proposed for the solution of the association problem. Simulation results show that our proposed solution can achieve higher energy efficiency and convergence rate.

AB - Massive multiple-input multiple-output (massive MIMO) and the millimeter wave (mmWave) communication are known to be among the key technologies for the fifth generation (5G) mobile networks. The implementation of massive MIMO with the mmWave architecture requires the utilization of hybrid precoding technique with a low dimensional digital precoder and a high dimensional analog precoder. In this paper, we investigate the hybrid precoding design problem for the case of cooperative multicell multiuser massive MIMO system. This problem is formulated with the consideration of the user and base station (BS) association problem, and we propose an iterative algorithm to solve the formulated problem. The precoding problem is solved using the Eigen precoding algorithm whereas the Lagrangian based approach is proposed for the solution of the association problem. Simulation results show that our proposed solution can achieve higher energy efficiency and convergence rate.

KW - Cooperative multicell multiuser massive MIMO

KW - hybrid precoding

KW - multi base station association

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BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 25 June 2018 through 29 June 2018

ER -

Akhtar I, Li L, Yang F, Li X, Gao A, Chen W et al. Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association. In 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 418-423. 8450379. (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018). doi: 10.1109/IWCMC.2018.8450379

Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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