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 / / / / / |
Reference Info. |
IEICE Tech. Rep. |
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Conference Information |
Committee |
MIKA |
Conference Date |
2021-10-27 - 2021-10-29 |
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(See Japanese page) |
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(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 |
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unsourced random access |
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fading |
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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 |
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Doshisha University (Doshisha Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-10-29 10:30:00 |
Presentation Time |
60 minutes |
Registration for |
MIKA |
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