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Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs | |
2016-03 | |
发表期刊 | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (IF:8.9[JCR-2023],8.6[5-Year]) |
ISSN | 1536-1276 |
卷号 | 15期号:3页码:1881-1894 |
发表状态 | 已发表 |
DOI | 10.1109/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 | 正在获取...
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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. |
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