Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network

doi:10.1016/S1005-8885(17)60184-5

中国邮电高校学报(英文) ›› 2017, Vol. 24 ›› Issue (1): 26-34.doi: 10.1016/S1005-8885(17)60184-5

Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network

Yu Zhi, Wang Ke, Ji Hong

School of Telecommunication Engineering, Beijing University of Posts and Telecommunications

收稿日期:2016-11-14 修回日期:2017-01-13 出版日期:2017-02-28 发布日期:2017-02-28
通讯作者: 余智 E-mail:zhiyu@bupt.edu.cn
基金资助:
This work was supported by the National Natural Science Foundation of China (61501047, 61671088).

Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network

Yu Zhi, Wang Ke, Ji Hong

School of Telecommunication Engineering, Beijing University of Posts and Telecommunications

Received:2016-11-14 Revised:2017-01-13 Online:2017-02-28 Published:2017-02-28
Supported by:
This work was supported by the National Natural Science Foundation of China (61501047, 61671088).

摘要/Abstract

摘要： With the popularity of variety delay-sensitive services, how to guarantee the delay requirements for mobile users (MUs) is a great challenge for downlink beamformer design in green cloud radio access networks (C-RANs). In this paper, we consider the problem of the delay-aware downlink beamforming with discrete rate adaptation to minimize the power consumption of C-RANs. We address the problem via a mixed integer nonlinear program (MINLP), and then reformulate the MINLP problem as a mixed integer second-order cone program (MI-SOCP), which is a convex program when the integer variables are relaxed as continuous ones. Based on this formulation, a deflation algorithm, whose computational complexity is polynomial, is proposed to derive the suboptimal solution. The simulation results are presented to validate the effectiveness of our proposed algorithm.

关键词: C-RAN, delay-aware downlink beamforming, discrete rate adaptation, green communication, mixed integer second-order cone programming

Abstract: With the popularity of variety delay-sensitive services, how to guarantee the delay requirements for mobile users (MUs) is a great challenge for downlink beamformer design in green cloud radio access networks (C-RANs). In this paper, we consider the problem of the delay-aware downlink beamforming with discrete rate adaptation to minimize the power consumption of C-RANs. We address the problem via a mixed integer nonlinear program (MINLP), and then reformulate the MINLP problem as a mixed integer second-order cone program (MI-SOCP), which is a convex program when the integer variables are relaxed as continuous ones. Based on this formulation, a deflation algorithm, whose computational complexity is polynomial, is proposed to derive the suboptimal solution. The simulation results are presented to validate the effectiveness of our proposed algorithm.

Key words: C-RAN, delay-aware downlink beamforming, discrete rate adaptation, green communication, mixed integer second-order cone programming

中图分类号:

TN929.5

Yu Zhi, Wang Ke, Ji Hong. Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2017, 24(1): 26-34.

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Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network

Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network

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