Simulation Tools for Cognitive Radio Network: A Survey

Due to recent expansion of wireless communications, it has become impossible to cope with the allotment of the precious spectrum while resources for wireless communication are bounded and finite. Hence, the cognitive radio concept is introduced to ensure optimal utilization of these invaluable resou...

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Main Authors: A. K. M. Muzahidul Islam, Rakin Bin Rabbani, Md Shadman Aadeeb, Mahdi Zareei, Nafees Mansoor, Molla Md Zubaer
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10886922/
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author A. K. M. Muzahidul Islam
Rakin Bin Rabbani
Md Shadman Aadeeb
Mahdi Zareei
Nafees Mansoor
Molla Md Zubaer
author_facet A. K. M. Muzahidul Islam
Rakin Bin Rabbani
Md Shadman Aadeeb
Mahdi Zareei
Nafees Mansoor
Molla Md Zubaer
author_sort A. K. M. Muzahidul Islam
collection DOAJ
description Due to recent expansion of wireless communications, it has become impossible to cope with the allotment of the precious spectrum while resources for wireless communication are bounded and finite. Hence, the cognitive radio concept is introduced to ensure optimal utilization of these invaluable resources. By emerging research in the field of cognitive radio network, fresh researchers are looking for a suitable simulator for the cognitive radio network since the implementation and testbed is not practical and feasible invariably. Moreover, there is no simulator that has been designed with cognitive radio networks in mind. Furthermore, this research area is relatively new. Therefore, often it becomes very hard to decide which network simulator to work with, as the availability of reference is significantly low. As a result, much effort is required to make a proper decision. In this paper, we take a detailed look at current simulators used by researchers in the field of cognitive radio networks to help researchers identify appropriate tools for simulation. To further aid researchers, we classify the simulation tools, demonstrate their architectures, describe features, elucidate advantages and disadvantages of these tools, and report some open issues and challenges for future research.
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publishDate 2025-01-01
publisher IEEE
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series IEEE Access
spelling doaj-art-e8baf7e7b4f249b1854ebe29b331a0fb2025-08-20T01:57:36ZengIEEEIEEE Access2169-35362025-01-0113323843241010.1109/ACCESS.2025.353749810886922Simulation Tools for Cognitive Radio Network: A SurveyA. K. M. Muzahidul Islam0https://orcid.org/0000-0002-4492-6134Rakin Bin Rabbani1https://orcid.org/0009-0002-1726-4195Md Shadman Aadeeb2Mahdi Zareei3https://orcid.org/0000-0001-6623-1758Nafees Mansoor4Molla Md Zubaer5Department of Computer Science and Engineering, United International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, BRAC University, Dhaka, BangladeshDepartment of Computer Science and Engineering, United International University, Dhaka, BangladeshSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, MexicoDepartment of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, BangladeshDepartment of Electrical, Electronic and Communication Engineering, Military Institute of Science and Technology (MIST), Dhaka, BangladeshDue to recent expansion of wireless communications, it has become impossible to cope with the allotment of the precious spectrum while resources for wireless communication are bounded and finite. Hence, the cognitive radio concept is introduced to ensure optimal utilization of these invaluable resources. By emerging research in the field of cognitive radio network, fresh researchers are looking for a suitable simulator for the cognitive radio network since the implementation and testbed is not practical and feasible invariably. Moreover, there is no simulator that has been designed with cognitive radio networks in mind. Furthermore, this research area is relatively new. Therefore, often it becomes very hard to decide which network simulator to work with, as the availability of reference is significantly low. As a result, much effort is required to make a proper decision. In this paper, we take a detailed look at current simulators used by researchers in the field of cognitive radio networks to help researchers identify appropriate tools for simulation. To further aid researchers, we classify the simulation tools, demonstrate their architectures, describe features, elucidate advantages and disadvantages of these tools, and report some open issues and challenges for future research.https://ieeexplore.ieee.org/document/10886922/Cognitive radio networksimulatorarchitecturetaxonomycommunication protocols
spellingShingle A. K. M. Muzahidul Islam
Rakin Bin Rabbani
Md Shadman Aadeeb
Mahdi Zareei
Nafees Mansoor
Molla Md Zubaer
Simulation Tools for Cognitive Radio Network: A Survey
IEEE Access
Cognitive radio network
simulator
architecture
taxonomy
communication protocols
title Simulation Tools for Cognitive Radio Network: A Survey
title_full Simulation Tools for Cognitive Radio Network: A Survey
title_fullStr Simulation Tools for Cognitive Radio Network: A Survey
title_full_unstemmed Simulation Tools for Cognitive Radio Network: A Survey
title_short Simulation Tools for Cognitive Radio Network: A Survey
title_sort simulation tools for cognitive radio network a survey
topic Cognitive radio network
simulator
architecture
taxonomy
communication protocols
url https://ieeexplore.ieee.org/document/10886922/
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