Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks

doi:10.1109/TWC.2019.2904570

	Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks
	Kai Yang 1; Yuanming Shi2 ; Zhi Ding 3
	2019-05
发表期刊	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN	1536-1276
卷号	18 期号:5 页码:2539-2552
发表状态	已发表
DOI	10.1109/TWC.2019.2904570
摘要	Network densification is a natural way to support dense mobile applications under stringent requirements, such as ultra-low latency, ultra-high data rate, and massive connecting devices. Severe interference in ultra-dense networks poses a key bottleneck. Sharing channel state information (CSI) and messages across transmitters can potentially alleviate the interferences and improve the system performance. Most existing works on interference coordination require significant CSI signaling overhead and are impractical in the ultra-dense networks. This paper investigates the topological cooperation to manage interferences in message sharing based only on the network connectivity information. In particular, we propose a generalized low-rank optimization approach in a complex field to maximize the achievable degrees of freedom (DoFs) by establishing interference alignment conditions for the topological cooperation. To tackle the challenges of poor structure and non-convex rank function, we develop the Riemannian optimization algorithms to solve a sequence of complex fixed-rank subproblems through a rank growth strategy. By exploiting the non-compact Stiefel manifold formed by the set of complex full column rank matrices, we develop the Riemannian optimization algorithms to solve the complex fixed-rank optimization problem by applying the semi-definite lifting technique and the Burer-Monteiro factorization approach. The numerical results demonstrate the computational efficiency and higher DoFs achieved by the proposed algorithms.
关键词	Low-rank models topological interference alignment transmitter cooperation degrees-of-freedom Riemannian optimization in complex field
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收录类别	SCI ; SCIE ; EI
语种	英语
资助项目	National Science Foundation[CNS-1702752] ; National Science Foundation[ECCS1711823]
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000467579800007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20192006929626
EI主题词	Channel state information ; Computational efficiency ; Degrees of freedom (mechanics) ; Information management ; Optimization ; Topology ; Transmitters
EI分类号	Computer Systems and Equipment:722 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4 ; Optimization Techniques:921.5 ; Mechanics:931.1
WOS关键词	INTERFERENCE ALIGNMENT ; MANAGEMENT ; FREEDOM ; CHANNEL ; DESIGN
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/34155
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.University of Chinese Academy of Sciences, Beijing, China 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 3.Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA
推荐引用方式 GB/T 7714	Kai Yang,Yuanming Shi,Zhi Ding. Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2019,18(5):2539-2552.
APA	Kai Yang,Yuanming Shi,&Zhi Ding.(2019).Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,18(5),2539-2552.
MLA	Kai Yang,et al."Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 18.5(2019):2539-2552.