CSpace
Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC
Wang, Zhaorui1; Liu, Ya-Feng2; Liu, Liang3
2022
Source PublicationIEEE SIGNAL PROCESSING LETTERS
ISSN1070-9908
Volume29Pages:538-542
AbstractIn 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.
KeywordDelays Channel estimation Signal processing algorithms Synchronization Protocols Performance evaluation Optimization Asynchronous mMTC coordinate descent joint activity and delay detection random access
DOI10.1109/LSP.2022.3144853
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China (NSFC)[12022116] ; National Natural Science Foundation of China (NSFC)[12021001] ; Research Grants Council, Hong Kong, China[25215020]
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000756786300002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/60027
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLiu, Ya-Feng
Affiliation1.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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