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Paper Abstract and Keywords
Presentation 2021-01-21 11:20
A Study on Log Likelihood Ratio for Iterative Detection and Decoding of LoRa Modulation
Takuya Mihara, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2020-68 SIP2020-46 RCS2020-159
Abstract (in Japanese) (See Japanese page) 
(in English) In Internet of things (IoT) devices, low power wide area (LPWA) has been attracting attention, and LoRa modulation is an important modulation technology in LPWA.
The demodulation and decoding process is simplified in LoRa receivers with the aid of hard decision values yielded from demodulator to decoder.
However, in this case, quantization (rounding) error may occur mutual information loss.
In this paper, we propose a method for log-likelihood ratio (LLR) and error correction based on the soft decision of the demodulator output, as well as iterative detection and decoding (IDD) scheme.
Assuming Rayleigh fading environments, the log-likelihood ratios for coherent and non-coherent detection are defined and blind channel estimation for LoRA is proposed.
The transmission characteristics are clarified in terms of bit error rate (BER) by computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) LoRa / Hamming code / log-likelihood ratio / soft decision / maximum likelihood estimation / iterative detection and decoding / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 322, RCS2020-159, pp. 28-33, Jan. 2021.
Paper # RCS2020-159 
Date of Issue 2021-01-14 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
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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)
Download PDF IT2020-68 SIP2020-46 RCS2020-159

Conference Information
Committee SIP IT RCS  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2021-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Log Likelihood Ratio for Iterative Detection and Decoding of LoRa Modulation 
Sub Title (in English)  
Keyword(1) LoRa  
Keyword(2) Hamming code  
Keyword(3) log-likelihood ratio  
Keyword(4) soft decision  
Keyword(5) maximum likelihood estimation  
Keyword(6) iterative detection and decoding  
Keyword(7)  
Keyword(8)  
1st Author's Name Takuya Mihara  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Takumi Takahashi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hisato Iwai  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2021-01-21 11:20:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2020-68, SIP2020-46, RCS2020-159 
Volume (vol) vol.120 
Number (no) no.320(IT), no.321(SIP), no.322(RCS) 
Page pp.28-33 
#Pages
Date of Issue 2021-01-14 (IT, SIP, RCS) 


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