Paper Abstract and Keywords |
Presentation |
2020-03-04 11:15
Joint Wideband Angular-Frequency Sparse Spectrum Sensing utilizing Compressive Sensing Azril Haniz, Takeshi Matsumura, Fumihide Kojima (NICT) SR2019-116 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The fifth generation (5G) mobile communications system is expected to provide wireless communications services for a wide range of use cases and be utilized by providers in various environments. Its deployment is expected to increase with the introduction of local 5G systems, where private entities can deploy their own 5G microcells to create local private networks. This motivates the need for spectrum sharing research in the mmWave spectrum. Furthermore, the use of array antennas in 5G systems opens the possibility for spectrum sharing in the angular domain as well. In this paper, compressive sensing is investigated as a method to perform spectrum sensing in the frequency and angular domains efficiently using a small number of compressed measurements. The joint angular-frequency spectrum sensing problem for wideband signals is formulated as a compressive sensing (CS) problem. A novel CS-based algorithm is proposed for wideband sources, which includes the usage of frequency-dependent steering matrices. Computational load was further reduced by applying modifications to the Kronecker Orthogonal Matching Pursuit (Kron-OMP) algorithm, and group-sparsity was enforced over the frequency domain to improve detection of wideband sources. The proposed algorithm is evaluated using various parameters through Monte Carlo simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressive sensing / Spectrum sensing / Angle-of-arrival estimation / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 449, SR2019-116, pp. 17-24, March 2020. |
Paper # |
SR2019-116 |
Date of Issue |
2020-02-26 (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) |
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SR2019-116 |
Conference Information |
Committee |
RCS SR SRW |
Conference Date |
2020-03-04 - 2020-03-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Communication Workshop |
Paper Information |
Registration To |
SR |
Conference Code |
2020-03-RCS-SR-SRW |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Joint Wideband Angular-Frequency Sparse Spectrum Sensing utilizing Compressive Sensing |
Sub Title (in English) |
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Compressive sensing |
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Spectrum sensing |
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Angle-of-arrival estimation |
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1st Author's Name |
Azril Haniz |
1st Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
2nd Author's Name |
Takeshi Matsumura |
2nd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
3rd Author's Name |
Fumihide Kojima |
3rd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
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Speaker |
Author-1 |
Date Time |
2020-03-04 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2019-116 |
Volume (vol) |
vol.119 |
Number (no) |
no.449 |
Page |
pp.17-24 |
#Pages |
8 |
Date of Issue |
2020-02-26 (SR) |
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