Paper Abstract and Keywords |
Presentation |
2022-06-10 15:15
Performance evaluation of CSS-APCMA applied to Massive IoT LPWA using GNU Radio/USRP Atsushi Nakamura, Kentaro Honda (Tokyo Univ. of Sci.), Ferdinand Peper, Kenji Leibnitz (NICT), Naoki Wakamiya (Osaka Univ.), Mikio Hasegawa (Tokyo Univ. of Sci.) NLP2022-21 CCS2022-21 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Asynchronous Pulse Code Multiple Access (APCMA) can avoid collisions even in high-density IoT environments. When multiple messages collide, the APCMA decoding algorithm can separate them and decode each message accurately. The Chirp Spectrum Spread (CSS)-APCMA uses chirp signals as pulses to improve robustness against noise and it supports long-distance communications. In this paper, we implement CSS-APCMA and LoRa using GNU Radio/USRP. LoRa is currently the most popular Low Power Wide Area (LPWA) communication system. We measure the packet error rate (PER) and throughput per device in a high-density environment using the transmitter and receiver we have implemented. Experimental results show that CSS-APCMA can achieve a lower PER than LoRa while maintaining the throughput per device, even when the number of transmitters increases. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Massive IoT / LPWA / APCMA / USRP / GNU Radio / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 66, CCS2022-21, pp. 106-110, June 2022. |
Paper # |
CCS2022-21 |
Date of Issue |
2022-06-02 (NLP, CCS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLP2022-21 CCS2022-21 |
Conference Information |
Committee |
CCS NLP |
Conference Date |
2022-06-09 - 2022-06-10 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
CCS |
Conference Code |
2022-06-CCS-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance evaluation of CSS-APCMA applied to Massive IoT LPWA using GNU Radio/USRP |
Sub Title (in English) |
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Keyword(1) |
Massive IoT |
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LPWA |
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APCMA |
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USRP |
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GNU Radio |
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1st Author's Name |
Atsushi Nakamura |
1st Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Sci.) |
2nd Author's Name |
Kentaro Honda |
2nd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Sci.) |
3rd Author's Name |
Ferdinand Peper |
3rd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
4th Author's Name |
Kenji Leibnitz |
4th Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
5th Author's Name |
Naoki Wakamiya |
5th Author's Affiliation |
Osaka University (Osaka Univ.) |
6th Author's Name |
Mikio Hasegawa |
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Tokyo University of Science (Tokyo Univ. of Sci.) |
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Speaker |
Author-1 |
Date Time |
2022-06-10 15:15:00 |
Presentation Time |
25 minutes |
Registration for |
CCS |
Paper # |
NLP2022-21, CCS2022-21 |
Volume (vol) |
vol.122 |
Number (no) |
no.65(NLP), no.66(CCS) |
Page |
pp.106-110 |
#Pages |
5 |
Date of Issue |
2022-06-02 (NLP, CCS) |
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