Paper Abstract and Keywords |
Presentation |
2014-01-23 10:50
Experimental Evaluation of Weighted Cooperative Sensing Based on Advanced Spectrum Database Yuya Ohue, Masayuki Kitamura, Kei Inage, Koji Ishibashi, Takeo Fujii (Univ. of Electro-Comm.) SR2013-77 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A spectrum sharing which utilizes the cognitive radio (CR) has been attracted attention to improve the spectral efficiency in Wireless Vehicular Networks (WVN). In the spectrum sharing scenario, CR users are required to avoid the interference toward Primary User (PU). Consequently, the technique of recognizing radio environment for correctly detecting the communication status of PU is important. The spectrum sharing systems can be classified into two types, spectrum database approach and spectrum sensing approach. However, both spectrum sharing systems are not suitable for applying in WVN. Thus, to improve the sensing reliability in WVNs, we proposed a weighted cooperative sensing method using the measurement based spectrum database information. It becomes possible to give the weights for cooperation by considering reliability of sensing data from each node. As a result of simulation, the proposed technique improves the detection performance compared with the traditional sensing methods. However, we do not confirm the effectiveness of the proposed method in actual radio environment such as the shadowing environment affected by buildings and geometry. In this paper, we show emulated results from the measurement data of actual TV broadcasting signals to confirm the effectiveness of the proposed technique. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Cognitive radio / Energy detection / Weighted cooperative sensing / Radio environment database / Cognitive vehicular networks / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 400, SR2013-77, pp. 13-18, Jan. 2014. |
Paper # |
SR2013-77 |
Date of Issue |
2014-01-16 (SR) |
ISSN |
Print edition: ISSN 0913-5685 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 |
SR2013-77 |
|