Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks

doi:10.1109/MCOM.2018.1700472

	Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks
	Yuanming Shi1 ; Jun Zhang 2; Wei Chen 3; Khaled B. Letaief 2
	2018-06
发表期刊	IEEE COMMUNICATIONS MAGAZINE
ISSN	0163-6804
卷号	56 期号:6 页码:42-48
发表状态	已发表
DOI	10.1109/MCOM.2018.1700472
摘要	The ultra-dense network (UDN) is a promising technology to further evolve wireless networks and meet the diverse performance requirements of 5G networks. With abundant access points, each with communication, computation, and storage resources, the UDN brings unprecedented benefits, including significant improvement in network spectral efficiency and energy efficiency, greatly reduced latency to enable novel mobile applications, and the capability of providing massive access for Internet of Things devices. However, such great promise comes with formidable research challenges. To design and operate such complex networks with various types of resources, efficient and innovative methodologies will be needed. This motivates the recent introduction of highly structured and generalizable models for network optimization. In this article, we present some recently proposed large-scale sparse and low-rank frameworks for optimizing UDNs, supported by various motivating applications. Special attention is paid to algorithmic approaches to deal with nonconvex objective functions and constraints, as well as computational scalability.
关键词	Optimization Array signal processing Mobile handsets Cloud computing Quality of service Mobile applications Computational modeling 5G mobile communication Heterogeneous networks Ultra-dense networks
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收录类别	SCI ; SCIE ; EI
语种	英语
资助项目	Chinese National 973 Program[2013CB336600]
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000435556100007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20182605359933
EI主题词	Complex networks ; Energy efficiency
EI分类号	Energy Conservation:525.2 ; Computer Systems and Equipment:722
WOS关键词	EDGE
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/27453
专题	信息科学与技术学院_PI研究组_石远明组
作者单位	1.ShanghaiTech University 2.Hong Kong University of Science and Technology 3.Tsinghua University
第一作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Yuanming Shi,Jun Zhang,Wei Chen,et al. Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks[J]. IEEE COMMUNICATIONS MAGAZINE,2018,56(6):42-48.
APA	Yuanming Shi,Jun Zhang,Wei Chen,&Khaled B. Letaief.(2018).Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks.IEEE COMMUNICATIONS MAGAZINE,56(6),42-48.
MLA	Yuanming Shi,et al."Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks".IEEE COMMUNICATIONS MAGAZINE 56.6(2018):42-48.