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Paper Abstract and Keywords
Presentation 2021-10-29 10:30
[Poster Presentation] Unsourced Random Access Communications by Clustering Devices' Specific Channel Fading Coefficients
Hinako Nakanishi, Tomotaka Kimura, Jun Cheng (Doshisha Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) A sequential stitching algorithm to stitch pieces of one message together is proposed for unsourced random access communications. In a wireless network, each of active devices fragments its message and sends its encoded pieces of the message slot-by-slot to a multiple-access fading channel. An access point decodes these pieces of messages and estimates their corresponding fading coefficients, and then stitches, by clustering fading coefficients, these pieces of messages together to their original messages. Simulations show that the proposed sequential stitching algorithm has almost the same performance as an ideal stitching, even in a time-variable, memory fading channel.
Keyword (in Japanese) (See Japanese page) 
(in English) unsourced random access / fading / stitching / / / / /  
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Conference Information
Committee MIKA  
Conference Date 2021-10-27 - 2021-10-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Systems, etc. 
Paper Information
Registration To MIKA 
Conference Code 2021-10-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsourced Random Access Communications by Clustering Devices' Specific Channel Fading Coefficients 
Sub Title (in English)  
Keyword(1) unsourced random access  
Keyword(2) fading  
Keyword(3) stitching  
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1st Author's Name Hinako Nakanishi  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Tomotaka Kimura  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Jun Cheng  
3rd Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2021-10-29 10:30:00 
Presentation Time 60 minutes 
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