Paper Abstract and Keywords |
Presentation |
2018-07-12 09:30
Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing Yuya Aoki, Takeo Fujii (UEC) SR2018-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, many researchers focus on a measurement-based Radio Environment Database (RED) that utilizes the actual received signal power obtained by spectrum sensing as an enabler for an efficient frequency sharing. In the proposed method, in an environment where multiple transmitters are ON/OFF transitions, time series data are acquired by cooperative sensing in which sensors are arranged in a distributed manner and spectrum sensing by each sensor. Moreover, each sensor learns using the Hidden Markov Model (HMM) on the acquired time series data, thereby estimating the parameter of the receivable transmitter. After collecting estimation results by HMM in each sensor, sensor selection is used for estimation of temporal parameters (channel occupancy rate, average ON/OFF interval), and multiple imputation is used for estimation of spatial parameters (pathloss exponent, transmit power), whereby high precision time-space RED enable to construct. The simulation results confirm the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Cognitive Radio / Cooperative Sensing / Hidden Markov Model / Multiple Imputation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 126, SR2018-30, pp. 57-64, July 2018. |
Paper # |
SR2018-30 |
Date of Issue |
2018-07-04 (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 |
SR2018-30 |
Conference Information |
Committee |
ASN NS RCS SR RCC |
Conference Date |
2018-07-11 - 2018-07-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hakodate Arena |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT(Internet of Things), etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2018-07-ASN-NS-RCS-SR-RCC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing |
Sub Title (in English) |
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Cognitive Radio |
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Cooperative Sensing |
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Hidden Markov Model |
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Multiple Imputation |
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1st Author's Name |
Yuya Aoki |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Takeo Fujii |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2018-07-12 09:30:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2018-30 |
Volume (vol) |
vol.118 |
Number (no) |
no.126 |
Page |
pp.57-64 |
#Pages |
8 |
Date of Issue |
2018-07-04 (SR) |
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