Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs
2016-03
发表期刊IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN1536-1276
卷号15期号:3页码:1881-1894
发表状态已发表
DOI10.1109/TWC.2015.2496953
摘要Featured by centralized processing and cloud based infrastructure, Cloud Radio Access Network (C-RAN) is a promising solution to achieving an unprecedented system capacity in future wireless cellular networks. The huge capacity gain mainly comes from the centralized and coordinated signal processing at the cloud server. However, full-scale coordination in a large-scale C-RAN requires the processing of very large channel matrices, leading to high computational complexity and channel estimation overhead. To tackle this challenge, we establish a unified theoretical framework for dynamic clustering by exploiting the near-sparsity of large C-RAN channel matrices. Based on this framework, we propose a dynamic nested clustering (DNC) algorithm that greatly improves the system scalability in terms of baseband-processing and channel-estimation complexity. With the proposed DNC algorithm, we show that the computational complexity (i.e., the computation time with serial processing) for the optimal linear detector is significantly reduced from O(N-3) to O(N-2), where N is the number of remote radio heads (RRHs) in the C-RAN. Moreover, the proposed DNC algorithm is also amenable to parallel processing, which further reduces the computation time to O(N-42/23).
关键词Cloud-RAN dynamic clustering parallel processing
URL查看原文
收录类别SCI ; EI
语种英语
资助项目Research Grants Council of Hong Kong[2150828] ; Research Grants Council of Hong Kong[2150876]
WOS研究方向Engineering ; Telecommunications
WOS类目Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000372627500020
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号20161602272880
EI主题词Channel estimation ; Complex networks ; Computational complexity ; Matrix algebra ; Signal processing
EI分类号Information Theory and Signal Processing:716.1 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Computer Systems and Equipment:722 ; Information Sources and Analysis:903.1 ; Algebra:921.1
WOS关键词BLOCK DIAGONALIZATION ; NETWORKS ; INTERFERENCE ; MIMO ; POWER
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/1910
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.Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong
2.Shenzhen Research Institute, The Chinese University of Hong Kong
3.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
推荐引用方式
GB/T 7714
Congmin Fan,Ying Jun Zhang,Xiaojun Yuan. Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2016,15(3):1881-1894.
APA Congmin Fan,Ying Jun Zhang,&Xiaojun Yuan.(2016).Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,15(3),1881-1894.
MLA Congmin Fan,et al."Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 15.3(2016):1881-1894.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Congmin Fan]的文章
[Ying Jun Zhang]的文章
[Xiaojun Yuan]的文章
百度学术
百度学术中相似的文章
[Congmin Fan]的文章
[Ying Jun Zhang]的文章
[Xiaojun Yuan]的文章
必应学术
必应学术中相似的文章
[Congmin Fan]的文章
[Ying Jun Zhang]的文章
[Xiaojun Yuan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 10.1109@TWC.2015.2496953.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。