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Applied Sciences
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Recent Advances on Intelligent Cognitive Radio and Dynamic Spectrum Access...
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Recent Advances on Intelligent Cognitive Radio and Dynamic Spectrum Access Techniques

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 3251

Special Issue Editors

Prof. Dr. Won Cheol Lee

E-Mail Website
Guest Editor
School of Electronic Engineering, Soongsil University, Seoul 06978, Korea
Interests: cognitive radio; TV white space; smart grid communication; dynamic spectrum access; interference management; software-defined radio.
Prof. Dr. Junsu Kim

E-Mail Website
Guest Editor
Department of Electronics Engineering, Korea Polytechnic University, Gyeonggi-do 15073, Korea
Interests: radio resource management; cognitive radio; physical layer security; RF energy harvesting; backscattering communications

Special Issue Information

Dear Colleagues,

Over the past 20 years since the novel idea of cognitive radio was initially proposed, thanks to the dedication of numerous researchers, various system structures and algorithms have been developed to implement the idea in the real world. Recently, research to maximize the spectrum-sharing performance using artificial intelligence techniques has been actively conducted. This is an opportunity to discover new possibilities in cognitive radio and to upgrade the technology level. Therefore, it is very meaningful to share the latest advances in cognitive radio technology using artificial intelligence.

Prof. Dr. Won Cheol Lee
Prof. Dr. Junsu Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cognitive radio
  • dynamic spectrum access
  • machine learning
  • artificial intelligence
  • spectrum sharing

Published Papers (2 papers)

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Research

23 pages, 1600 KiB  
Article
Towards Collaborative and Dynamic Spectrum Sharing via Interpretation of Spectrum Access Policies
by Jakub Moskal, Jae-Kark Choi, Mieczyslaw M. Kokar, Soobin Um and Jeung Won Choi
Appl. Sci. 2021, 11(15), 7056; https://0-doi-org.brum.beds.ac.uk/10.3390/app11157056 - 30 Jul 2021
Viewed by 1368
Abstract
This paper describes some of the challenges that need to be addressed in order to develop collaborative spectrum-sharing systems. The importance of these challenges stems from the assumption that rules for spectrum sharing can change after the deployment of radio networks and that [...] Read more.
This paper describes some of the challenges that need to be addressed in order to develop collaborative spectrum-sharing systems. The importance of these challenges stems from the assumption that rules for spectrum sharing can change after the deployment of radio networks and that the whole system must be able to adapt to them. To address such a requirement, we used a policy-based approach in which transmissions are controlled by a policy interpreter system, and the policies can be modified during system operation. Our primary goal was to develop a prototype of such a system. In this paper, we outline the implementation of policy interpretation, automatic generation of transmission opportunities in case a request for transmission is denied by the policy reasoner, and the generation of rendezvous channels for the synchronization of otherwise asynchronously running software-defined radios. Full article
(This article belongs to the Special Issue Recent Advances on Intelligent Cognitive Radio and Dynamic Spectrum Access Techniques)
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12 pages, 1534 KiB  
Article
A Correlation-Based Sensing Scheme for Outlier Detection in Cognitive Radio Networks
by Muhammad Sajjad Khan, Mohammad Faisal, Su Min Kim, Saeed Ahmed, Marc St-Hilaire and Junsu Kim
Appl. Sci. 2021, 11(5), 2362; https://0-doi-org.brum.beds.ac.uk/10.3390/app11052362 - 07 Mar 2021
Cited by 6 | Viewed by 1466
Abstract
Cooperative spectrum sensing (CSS) is a vital part of cognitive radio networks, which ensures the existence of the primary user (PU) in the network. However, the presence of malicious users (MUs) highly degrades the performance of the system. In the proposed scheme, each [...] Read more.
Cooperative spectrum sensing (CSS) is a vital part of cognitive radio networks, which ensures the existence of the primary user (PU) in the network. However, the presence of malicious users (MUs) highly degrades the performance of the system. In the proposed scheme, each secondary user (SU) reports to the fusion center (FC) with a hard decision of the sensing energy to indicate the existence of the PU. The main contribution of this work deals with MU attacks, specifically spectrum sensing data falsification (SSDF) attacks. In this paper, we propose a correlation-based approach to differentiate between the SUs and the outliers by determining the sensing of each SU, and the average value of sensing information with other SUs, to predict the SSDF attack in the system. The FC determines the abnormality of a SU by determining the similarity for each SU with the remaining SUs by following the proposed scheme and declares the SU as an outlier using the box-whisker plot. The effectiveness of the proposed scheme was demonstrated through simulations. Full article
(This article belongs to the Special Issue Recent Advances on Intelligent Cognitive Radio and Dynamic Spectrum Access Techniques)
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