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| Presentation | 2021-05-20 10:25 Energy Detection for M-QAM Signals Shun Ishihara, Kenta Umebayashi (TUAT), Janne Lehtomaki (UOO)  SR2021-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we compare several analyses of energy detection for $M$-ary quadrature amplitude modulation (QAM) signals over fading channels. Previous work has considered calculating exact detection probability for given M analytically. However, the method has significant complexity that increases as a function of $M$ and the number of samples. For this issue, we previously proposed the derivation of detection probability under additive white Gaussian noise (AWGN) channel with the low complexity approximation in which M is set to infinity. In this paper, we derive the detection probability under fading channel environment. For further low complexity, we also propose the approximation where the distribution of received energy is assumed to follow Gaussian distribution in addition to the approximation of M=∞. Two proposed methods and a conventional method are compared based on numerical results in several ways, such as probability density function, Kolmogorov-Smirnov distance, and detection probability. Based on these results, it is shown that the previous proposed method can always achieve high accuracy while the new proposed method can achieve reasonable performance when signal to noise ratio (SNR) is high. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Energy Detection / Quadrature Amplitude Modulation Signal / Spectrum Sensing / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 30, SR2021-2, pp. 8-15, May 2021. | |
| Paper # | SR2021-2 | |
| Date of Issue | 2021-05-13 (SR) | |
| 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) | |
| Download PDF | SR2021-2 |
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| Conference Information | |
| Committee | SR |
| Conference Date | 2021-05-20 - 2021-05-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Radio, Machine Learning for Wireless Communication, etc. |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2021-05-SR |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Energy Detection for M-QAM Signals |
| Sub Title (in English) | |
| Keyword(1) | Energy Detection |
| Keyword(2) | Quadrature Amplitude Modulation Signal |
| Keyword(3) | Spectrum Sensing |
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| 1st Author's Name | Shun Ishihara |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Kenta Umebayashi |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name | Janne Lehtomaki |
| 3rd Author's Affiliation | University of Oulu (UOO) |
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| Speaker | Author-1 |
| Date Time | 2021-05-20 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2021-2 |
| Volume (vol) | vol.121 |
| Number (no) | no.30 |
| Page | pp.8-15 |
| #Pages | 8 |
| Date of Issue | 2021-05-13 (SR) |
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