Distributed Optimization for Massive Connectivity
2020
发表期刊IEEE WIRELESS COMMUNICATIONS LETTERS (IF:4.6[JCR-2023],4.9[5-Year])
ISSN2162-2345
卷号9期号:9
发表状态已发表
DOI10.1109/LWC.2020.2992189
摘要Massive device connectivity in Internet of Thing (IoT) networks with sporadic traffic poses significant communication challenges. To overcome this challenge, the serving base station is required to detect the active devices and estimate the corresponding channel state information during each coherence block. The corresponding joint activity detection and channel estimation problem can be formulated as a group sparse estimation problem, also known under the name “Group Lasso”. This letter presents a fast and efficient distributed algorithm to solve such Group Lasso problems, which alternates between solving small-scaled problems in parallel and dealing with a linear equation for consensus. Numerical results demonstrate the speedup of this algorithm compared with the state-of-the-art methods in terms of convergence speed and computation time.
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收录类别SCI ; SCIE ; EI
来源库IEEE
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/123594
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
信息科学与技术学院_PI研究组_Boris Houska组
信息科学与技术学院_本科生
信息科学与技术学院_博士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
3.University of Chinese Academy of Sciences, 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
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GB/T 7714
Yuning Jiang,Junyan Su,Yuanming Shi,et al. Distributed Optimization for Massive Connectivity[J]. IEEE WIRELESS COMMUNICATIONS LETTERS,2020,9(9).
APA Yuning Jiang,Junyan Su,Yuanming Shi,&Boris Houska.(2020).Distributed Optimization for Massive Connectivity.IEEE WIRELESS COMMUNICATIONS LETTERS,9(9).
MLA Yuning Jiang,et al."Distributed Optimization for Massive Connectivity".IEEE WIRELESS COMMUNICATIONS LETTERS 9.9(2020).
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