Topological Interference Management With User Admission Control via Riemannian Optimization

doi:10.1109/TWC.2017.2747539

	Topological Interference Management With User Admission Control via Riemannian Optimization
	Yuanming Shi1 ; Bamdev Mishra 2; Wei Chen 3
	2017-11
发表期刊	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN	1536-1276
卷号	16 期号:11 页码:7362-7375
发表状态	已发表
DOI	10.1109/TWC.2017.2747539
摘要	Topological interference management (TIM) provides a promising way to manage interference only based on the network connectivity information. Previous works on the TIM problem mainly focus on using the index coding approach and graph theory to establish conditions of network topologies to achieve the feasibility of topological interference management. In this paper, we propose a novel user admission control approach via sparse and low-rank optimization to maximize the number of admitted users for achieving the feasibility of topological interference management. However, the resulting sparse and low-rank optimization problem is non-convex and highly intractable, for which the conventional convex relaxation approaches are inapplicable, e.g., a simple l(1)-norm relaxation approach yields the objective unbounded and non-convex. To assist efficient algorithms design for the formulated rank-constrained (i.e., degrees-of-freedom (DoFs) allocation) l(0)-norm maximization (i.e., user capacity maximization) problem, we propose a novel non-convex but smoothed l(1)-regularized minimization approach to induce sparsity pattern with bounded objective values. We further develop a Riemannian trust-region algorithm to solve the resulting rank-constrained smooth non-convex optimization problem via exploiting the quotient manifold of fixed-rank matrices. Simulation results demonstrate the effectiveness and optimality of the proposed Riemannian algorithm to maximize the number of admitted users for topological interference management.
关键词	Topological interference alignment user admission control sparse and low-rank modeling Riemannian optimization quotient manifold
URL	查看原文
收录类别	SCI ; 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:000415701200027
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS关键词	CLOUD-RAN ; NETWORKS ; ALIGNMENT ; MIMO ; FEASIBILITY ; PERSPECTIVE ; INTERNET ; CHANNEL ; 5G
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/10047
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.Core Machine Learning Team, Amazon, Bangalore, India 3.Department of Electronic Engineering, Tsinghua University, Beijing, China
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,Bamdev Mishra,Wei Chen. Topological Interference Management With User Admission Control via Riemannian Optimization[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2017,16(11):7362-7375.
APA	Yuanming Shi,Bamdev Mishra,&Wei Chen.(2017).Topological Interference Management With User Admission Control via Riemannian Optimization.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,16(11),7362-7375.
MLA	Yuanming Shi,et al."Topological Interference Management With User Admission Control via Riemannian Optimization".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 16.11(2017):7362-7375.