Home
Author Guide
Editor Guide
Reviewer Guide
Special Issues
Special Issue Introduction
Special Issues List
Topics
Published Issues
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2010
2009
2008
2007
2006
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access Policy
Publication Ethics
Digital Preservation Policy
Editorial Process
Subscription
Contact Us
General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
;
DBLP
;
CrossRef
,
EBSCO
,
Google Scholar
;
CNKI,
etc.
E-mail questions
or comments to
editor@jocm.us
Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
CiteScore
51st percentile
Powered by
Article Metrics in Dimensions
Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-10-16
Vol. 19, No. 10 has been published online!
2024-08-20
Vol. 19, No. 8 has been published online!
2024-07-22
Vol. 19, No. 7 has been published online!
Home
>
Published Issues
>
2020
>
Volume 15, No. 4, April 2020
>
Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks
Gashema Gaspard and Dong-Seong Kim
Dept. of IT Convergence Engineering, School of Electrons Engineering, Kumoh National Institute of Technology, Gumi, 39177, South Korea
Abstract
—This paper proposes a technique to enhance both throughput and sensing time in secondary network under Full-Duplex Cognitive Radio (FD-CR). Subsequently, it overcomes power-throughput trade-off which is caused by SI-interference occurs during transmission. To do so, the CR node controls its transmission power over two fractions of frame duration unlike Simultaneous Sensing and Transmission (SST) approach which consists of controlling the entire frame duration. The performance was validated through simulation result using MATLAB simulation environment, then compare these results with that of existing approach (i.e.; SST). It was shown that, the proposed technique significantly outperforms SST in terms of throughput and sensing efficiency.
Index Terms
—Cognitive radio networks, full-duplex, optimal sensing, power control, SI suppression
Cite: Gashema Gaspard and Dong-Seong Kim, "Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks," Journal of Communications vol. 15, no. 4, pp. 303-308, April 2020. Doi: 10.12720/jcm.15.4.303-308
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
1-CS1007
PREVIOUS PAPER
First page
NEXT PAPER
An Approach to Open Access to Multimedia Multicast Services at the Network Edge