Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks
Due to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9229422/ |
| _version_ | 1818438273720123392 |
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| author | Naghmeh Sadat Moayedian Shirin Salehi Majid Khabbazian |
| author_facet | Naghmeh Sadat Moayedian Shirin Salehi Majid Khabbazian |
| author_sort | Naghmeh Sadat Moayedian |
| collection | DOAJ |
| description | Due to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive radio networks (CRN) are merged to meet IoT networks' needs. In this work, we employ the hybrid overlay-underlay CRN to guarantee both the secondary user (SU) stability and provide acceptable total throughput. In our CCR-IoTN, SUs may act as a relay to help the primary transmission. If the primary user (PU) is active, the secondary non-relay nodes transmit concurrently with the PU in underlay mode. In return for their cooperation, SUs are allowed to access the spectrum to transmit their data in overlay mode. In this context, we propose several fair resource allocation frameworks and compare well-known problems such as spectrum efficiency, energy efficiency as an objective function for CCR-IoTN. This kind of problem is inherently nonconvex. To solve the problems, therefore, we reformulate them as a convex problem using quadratic transform. Finally, we use simulation to evaluate the performance of the proposed hybrid resource allocation method. The resource allocation framework based on proportional fairness policy is shown to have acceptable performance in terms of throughput, fairness, and energy efficiency. |
| first_indexed | 2024-12-14T17:37:57Z |
| format | Article |
| id | doaj.art-7410c07c8ab54bfbb734f1c76156060b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T17:37:57Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7410c07c8ab54bfbb734f1c76156060b2022-12-21T22:52:56ZengIEEEIEEE Access2169-35362020-01-01819106719107910.1109/ACCESS.2020.30322049229422Fair Resource Allocation in Cooperative Cognitive Radio Iot NetworksNaghmeh Sadat Moayedian0https://orcid.org/0000-0002-2358-039XShirin Salehi1https://orcid.org/0000-0001-9038-1115Majid Khabbazian2https://orcid.org/0000-0002-6338-2945Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CanadaDue to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive radio networks (CRN) are merged to meet IoT networks' needs. In this work, we employ the hybrid overlay-underlay CRN to guarantee both the secondary user (SU) stability and provide acceptable total throughput. In our CCR-IoTN, SUs may act as a relay to help the primary transmission. If the primary user (PU) is active, the secondary non-relay nodes transmit concurrently with the PU in underlay mode. In return for their cooperation, SUs are allowed to access the spectrum to transmit their data in overlay mode. In this context, we propose several fair resource allocation frameworks and compare well-known problems such as spectrum efficiency, energy efficiency as an objective function for CCR-IoTN. This kind of problem is inherently nonconvex. To solve the problems, therefore, we reformulate them as a convex problem using quadratic transform. Finally, we use simulation to evaluate the performance of the proposed hybrid resource allocation method. The resource allocation framework based on proportional fairness policy is shown to have acceptable performance in terms of throughput, fairness, and energy efficiency.https://ieeexplore.ieee.org/document/9229422/Cooperative cognitive radio networkhybrid overlay-underlayIoTfairnessresource allocationspectrum |
| spellingShingle | Naghmeh Sadat Moayedian Shirin Salehi Majid Khabbazian Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks IEEE Access Cooperative cognitive radio network hybrid overlay-underlay IoT fairness resource allocation spectrum |
| title | Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks |
| title_full | Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks |
| title_fullStr | Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks |
| title_full_unstemmed | Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks |
| title_short | Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks |
| title_sort | fair resource allocation in cooperative cognitive radio iot networks |
| topic | Cooperative cognitive radio network hybrid overlay-underlay IoT fairness resource allocation spectrum |
| url | https://ieeexplore.ieee.org/document/9229422/ |
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