KMS Of Academy of mathematics and systems sciences, CAS
Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC | |
Wang, Zhaorui1; Liu, Ya-Feng2; Liu, Liang3 | |
2022 | |
Source Publication | IEEE SIGNAL PROCESSING LETTERS
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ISSN | 1070-9908 |
Volume | 29Pages:538-542 |
Abstract | In this letter, we study the joint device activity and delay detection problem in asynchronous massive machine-type communications (mMTC), where all active devices asynchronously transmit their preassigned preamble sequences to the base station (BS) for device identification and delay detection. We first formulate this joint detection problem as a maximum likelihood estimation problem, which depends on the received signal only through its sample covariance, and then propose efficient coordinate descent type of algorithms to solve the formulated problem. Our proposed covariance-based approach is sharply different from the existing compressed sensing (CS) approach for the same problem. Numerical results show that our proposed covariance-based approach significantly outperforms the CS approach in terms of the detection performance since our proposed approach can make better use of the BS antennas than the CS approach. |
Keyword | Delays Channel estimation Signal processing algorithms Synchronization Protocols Performance evaluation Optimization Asynchronous mMTC coordinate descent joint activity and delay detection random access |
DOI | 10.1109/LSP.2022.3144853 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China (NSFC)[12022116] ; National Natural Science Foundation of China (NSFC)[12021001] ; Research Grants Council, Hong Kong, China[25215020] |
WOS Research Area | Engineering |
WOS Subject | Engineering, Electrical & Electronic |
WOS ID | WOS:000756786300002 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/60027 |
Collection | 中国科学院数学与系统科学研究院 |
Corresponding Author | Liu, Ya-Feng |
Affiliation | 1.Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China 3.Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Peoples R China |
Recommended Citation GB/T 7714 | Wang, Zhaorui,Liu, Ya-Feng,Liu, Liang. Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC[J]. IEEE SIGNAL PROCESSING LETTERS,2022,29:538-542. |
APA | Wang, Zhaorui,Liu, Ya-Feng,&Liu, Liang.(2022).Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC.IEEE SIGNAL PROCESSING LETTERS,29,538-542. |
MLA | Wang, Zhaorui,et al."Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC".IEEE SIGNAL PROCESSING LETTERS 29(2022):538-542. |
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