Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks

The heterogeneous network structure is a promising paradigm to improve the quality of service across the entire network. Nevertheless, such a structure is challenging due to the presence of multiple-tier secondary users (SUs). In this study, the authors investigated the effect of spectrum allocation...

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Main Authors: Huang, Xiaowen, Zhang, Wenjie, Yang, Jingmin, Yang, Liwei, Yeo, Chai Kiat
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155224
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1552242022-05-27T05:20:02Z Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks Huang, Xiaowen Zhang, Wenjie Yang, Jingmin Yang, Liwei Yeo, Chai Kiat School of Computer Science and Engineering Engineering::Computer science and engineering Heterogeneous Network Structure Promising Paradigm The heterogeneous network structure is a promising paradigm to improve the quality of service across the entire network. Nevertheless, such a structure is challenging due to the presence of multiple-tier secondary users (SUs). In this study, the authors investigated the effect of spectrum allocation in heterogeneous cognitive radio networks with a primary network and two-tier secondary networks, and proposed a two-tier spectrum trading strategy which includes two trading processes. In Process One, they model the spectrum trading as a monopoly market, where the primary spectrum owner (PO) acts as the monopolist and the first-tier secondary users (FSUs) act as the buyers. They design an optimal quality-price contract to maximise the utility of PO, and the FSUs will choose the spectrum with appropriate quality and price to enhance their satisfaction. In Process Two, spectrum trading is modelled as a multi-seller, multi-buyer market. The dynamic behaviour of second-tier SUs is studied using the theory of evolution game, while the competition among FSUs is analysed via a non-cooperative game where the Nash equilibrium is considered as the solution. The existences of the optimal contract, evolutionary equilibrium and Nash equilibrium are demonstrated in the performance evaluation. This work was supported by the Natural Science Funds of China(grant nos. 61701213 and 61705260), the Natural Science Funds ofFujian (grant no. 2018J01546) 2022-05-27T05:20:02Z 2022-05-27T05:20:02Z 2020 Journal Article Huang, X., Zhang, W., Yang, J., Yang, L. & Yeo, C. K. (2020). Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks. IET Communications, 14(16), 2759-2768. https://dx.doi.org/10.1049/iet-com.2019.1074 1751-8628 https://hdl.handle.net/10356/155224 10.1049/iet-com.2019.1074 2-s2.0-85092437834 16 14 2759 2768 en IET Communications © 2020 The Institution of Engineering and Technology. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Heterogeneous Network Structure
Promising Paradigm
spellingShingle Engineering::Computer science and engineering
Heterogeneous Network Structure
Promising Paradigm
Huang, Xiaowen
Zhang, Wenjie
Yang, Jingmin
Yang, Liwei
Yeo, Chai Kiat
Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
description The heterogeneous network structure is a promising paradigm to improve the quality of service across the entire network. Nevertheless, such a structure is challenging due to the presence of multiple-tier secondary users (SUs). In this study, the authors investigated the effect of spectrum allocation in heterogeneous cognitive radio networks with a primary network and two-tier secondary networks, and proposed a two-tier spectrum trading strategy which includes two trading processes. In Process One, they model the spectrum trading as a monopoly market, where the primary spectrum owner (PO) acts as the monopolist and the first-tier secondary users (FSUs) act as the buyers. They design an optimal quality-price contract to maximise the utility of PO, and the FSUs will choose the spectrum with appropriate quality and price to enhance their satisfaction. In Process Two, spectrum trading is modelled as a multi-seller, multi-buyer market. The dynamic behaviour of second-tier SUs is studied using the theory of evolution game, while the competition among FSUs is analysed via a non-cooperative game where the Nash equilibrium is considered as the solution. The existences of the optimal contract, evolutionary equilibrium and Nash equilibrium are demonstrated in the performance evaluation.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Huang, Xiaowen
Zhang, Wenjie
Yang, Jingmin
Yang, Liwei
Yeo, Chai Kiat
format Article
author Huang, Xiaowen
Zhang, Wenjie
Yang, Jingmin
Yang, Liwei
Yeo, Chai Kiat
author_sort Huang, Xiaowen
title Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
title_short Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
title_full Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
title_fullStr Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
title_full_unstemmed Two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
title_sort two-tier trading strategy design for spectrum allocation in heterogeneous cognitive radio networks
publishDate 2022
url https://hdl.handle.net/10356/155224
_version_ 1734310172504883200