Smoothed L-p-Minimization for Green Cloud-RAN With User Admission Control

doi:10.1109/JSAC.2016.2544578

	Smoothed L-p-Minimization for Green Cloud-RAN With User Admission Control
	Yuanming Shi1 ; Jinkun Cheng 2; Jun Zhang 3; Bo Bai 2; Wei Chen 2; Khaled B. Letaief 4
	2016-04
发表期刊	IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
ISSN	0733-8716
卷号	34 期号:4 页码:1022-1036
发表状态	已发表
DOI	10.1109/JSAC.2016.2544578
摘要	The cloud radio access network (Cloud-RAN) has recently been proposed as one of the cost-effective and energy efficient techniques for 56 wireless networks. By moving the signal processing functionality to a single baseband unit (BBU) pool, centralized signal processing and resource allocation are enabled in cloud-RAN, thereby providing the promise of improving the energy efficiency via effective network adaptation and interference management. In this paper, we propose a holistic sparse optimization framework to design green cloud-RAN by taking into consideration the power consumption of the fronthaul links, multicast services, as well as user admission control. Specifically, we first identify the sparsity structures in the solutions of both the network power minimization and user admission control problems, which call for adaptive remote radio head (RRH) selection and user admission. However, finding the optimal sparsity structures turns out to be NP-hard, with the coupled challenges of the Pp-norm-based objective functions and the nonconvex quadratic QoS constraints due to multicast beamforming. In contrast to the previous works on convex but nonsmooth sparsity inducing approaches, e.g., the group sparse beamforming algorithm based on the mixed P1 // 2-norm relaxation, we adopt the nonconvex but smoothed Pp-minimization (0 < p < 1) approach to promote sparsity in the multicast setting, thereby enabling efficient algorithm design based on the principle of the majorization minimization (MM) algorithm and the semidefinite relaxation (SDR) technique. In particular, an iterative reweighted-P2 algorithm is developed, which will converge to a Karush Kuhn Tucker (KKT) point of the relaxed smoothed Pp-minimization problem from the SDR technique. We illustrate the effectiveness of the proposed algorithms with extensive simulations for network power minimization and user admission control in multicast cloud -RAN.
关键词	5G networks green communications Cloud RAN multicast beamforming sparse optimization semidefinite relaxation smoothed l(p)-minimization and user admission control
URL	查看原文
收录类别	SCI ; EI
语种	英语
资助项目	Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP)[20130002120001]
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000377928500025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20162202441512
EI主题词	Adaptive control systems ; Algorithms ; Beamforming ; Cost effectiveness ; Energy efficiency ; Iterative methods ; Multicasting ; Signal processing ; Structural optimization
EI分类号	Energy Conservation:525.2 ; Electromagnetic Waves in Relation to Various Structures:711.2 ; Telecommunication; Radar, Radio and Television:716 ; Information Theory and Signal Processing:716.1 ; Optical Communication:717 ; Telephone Systems and Related Technologies; Line Communications:718 ; Control Systems:731.1 ; Industrial Economics:911.2 ; Optimization Techniques:921.5 ; Numerical Methods:921.6
WOS关键词	SCALE CONVEX-OPTIMIZATION ; COOPERATIVE NETWORKS ; MIMO ; DOWNLINK ; TRANSMISSION ; ALGORITHMS ; SPARSITY ; SERVICE ; SYSTEM ; CSI
原始文献类型	Article
来源库	IEEE
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/1878
专题	信息科学与技术学院信息科学与技术学院_PI研究组_石远明组
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Department of Electronic Engineering, Tsinghua University, Beijing, China 3.Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong 4.Hamad bin Khalifa University, Ar-Rayyan, Qatar
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Yuanming Shi,Jinkun Cheng,Jun Zhang,et al. Smoothed L-p-Minimization for Green Cloud-RAN With User Admission Control[J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,2016,34(4):1022-1036.
APA	Yuanming Shi,Jinkun Cheng,Jun Zhang,Bo Bai,Wei Chen,&Khaled B. Letaief.(2016).Smoothed L-p-Minimization for Green Cloud-RAN With User Admission Control.IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,34(4),1022-1036.
MLA	Yuanming Shi,et al."Smoothed L-p-Minimization for Green Cloud-RAN With User Admission Control".IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 34.4(2016):1022-1036.