Locally Orthogonal Training Design for Cloud-RANs Based on Graph Coloring

doi:10.1109/TWC.2017.2723471

	Locally Orthogonal Training Design for Cloud-RANs Based on Graph Coloring
	Jianwen Zhang1 ; Xiaojun Yuan 2; Ying Jun Zhang 3
	2017-10
发表期刊	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN	1536-1276
卷号	16 期号:10 页码:6426-6437
发表状态	已发表
DOI	10.1109/TWC.2017.2723471
摘要	We consider training-based channel estimation for a cloud radio access network (CRAN), in which a large amount of remote radio heads and users are randomly scattered over the service area. In this model, assigning orthogonal training sequences to all users will incur a substantial overhead to the overall network, and is even impossible when the number of users is large. Therefore, in this paper, we introduce the notion of local orthogonality, under which the training sequence of a user is orthogonal to those of the other users in its neighborhood. We model the design of locally orthogonal training sequences as a graph coloring problem. Then, based on the theory of random geometric graph, we show that the minimum training length scales in the order of ln K, where K is the number of users covered by a CRAN. This implies that the proposed training design yields a scalable solution to sustain the need of large-scale cooperation in CRANs.
关键词	Cloud radio access networks channel estimation graph coloring local orthogonality training design
URL	查看原文
收录类别	SCI ; CPCI ; EI
语种	英语
资助项目	Research Grants Council of Hong Kong[14209414] ; Research Grants Council of Hong Kong[14200315]
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000412591400010
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20172903946726
EI主题词	Channel estimation ; Radio systems
WOS关键词	RADIO ACCESS NETWORKS ; CHANNEL ESTIMATION ; ANTENNA SYSTEMS ; MASSIVE MIMO ; PERFORMANCE ; WIRELESS
原始文献类型	Article ; Proceedings Paper
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/9950
专题	信息科学与技术学院信息科学与技术学院_PI研究组_袁晓军组
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China 3.Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong
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	Jianwen Zhang,Xiaojun Yuan,Ying Jun Zhang. Locally Orthogonal Training Design for Cloud-RANs Based on Graph Coloring[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2017,16(10):6426-6437.
APA	Jianwen Zhang,Xiaojun Yuan,&Ying Jun Zhang.(2017).Locally Orthogonal Training Design for Cloud-RANs Based on Graph Coloring.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,16(10),6426-6437.
MLA	Jianwen Zhang,et al."Locally Orthogonal Training Design for Cloud-RANs Based on Graph Coloring".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 16.10(2017):6426-6437.