Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

doi:10.1016/S1005-8885(16)60045-6

中国邮电高校学报(英文版) ›› 2016, Vol. 23 ›› Issue (4): 53-62.doi: 10.1016/S1005-8885(16)60045-6

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

姜静,成晓雪,谢永斌

西安邮电大学

收稿日期:2016-03-21 修回日期:2016-07-06 出版日期:2016-08-30 发布日期:2016-08-30
通讯作者: 姜静 E-mail:cheng_xx02@163.com
基金资助:
863项目

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

Received:2016-03-21 Revised:2016-07-06 Online:2016-08-30 Published:2016-08-30
Supported by:
863 Program

摘要/Abstract

摘要： The fifth generation mobile communication (5G) systems can provide Gbit/s data rates from massive multiple-input multiple-output (MIMO) combined with the emerging use of millimeter wavelengths in small heterogeneous cells. This paper develops an energy-efficiency based multi-user hybrid beamforming for downlink millimeter wave (mmWave) massive MIMO systems. To make better use of directivity gains of the analog beamforming and flexible baseband processing of the digital beamforming, this paper proposes the analog beamforming to select the optimal beam which can maximize the power of the objective user and minimize the interference to all other users. In addition, the digital beamforming maximizes the energy efficiency of the objective user with zero-gradient-based approach. Simulation results show the proposed algorithm provide better bit error rate (BER) performance compared with the traditional hybrid beamforming and obviously improved the sum rate with the increase in the number of users. It is proved that multi-user MIMO (MU-MIMO) can be a perfect candidate for mmWave massive MIMO communication system. Furthermore, the analog beamforming can mitigate the inter-user interference more effectively with the selection of the optimal beam and the digital beamforming can greatly improve the system performance through flexible baseband processing.

关键词: 5G systems, mmWave, massive MIMO, MU-MIMO, analog beamforming, digital beamforming, hybrid beamforming

Abstract: The fifth generation mobile communication (5G) systems can provide Gbit/s data rates from massive multiple-input multiple-output (MIMO) combined with the emerging use of millimeter wavelengths in small heterogeneous cells. This paper develops an energy-efficiency based multi-user hybrid beamforming for downlink millimeter wave (mmWave) massive MIMO systems. To make better use of directivity gains of the analog beamforming and flexible baseband processing of the digital beamforming, this paper proposes the analog beamforming to select the optimal beam which can maximize the power of the objective user and minimize the interference to all other users. In addition, the digital beamforming maximizes the energy efficiency of the objective user with zero-gradient-based approach. Simulation results show the proposed algorithm provide better bit error rate (BER) performance compared with the traditional hybrid beamforming and obviously improved the sum rate with the increase in the number of users. It is proved that multi-user MIMO (MU-MIMO) can be a perfect candidate for mmWave massive MIMO communication system. Furthermore, the analog beamforming can mitigate the inter-user interference more effectively with the selection of the optimal beam and the digital beamforming can greatly improve the system performance through flexible baseband processing.

Key words: 5G systems, mmWave, massive MIMO, MU-MIMO, analog beamforming, digital beamforming, hybrid beamforming

中图分类号:

TN929.53

Jiang Jing,Cheng Xiaoxue, Xie Yongbin. Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2016, 23(4): 53-62.

参考文献

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Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

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