Spectrum pricing for cognitive radio networks with user’s stochastic distribution
Amid the dynamic spectrum access in cognitive radio networks, when complex spectrum conditions should be taken into account, how to price the spectrum in order to benefit primary systems in maximization is still under-investigated. In this paper, we devise a spectrum pricing method to address this i...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/137332 |
| _version_ | 1826129177752895488 |
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| author | Wang, Li Lam, Kwok-Yan Xiong, Mudi Li, Feng Liu, Xin Wang, Jian |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Wang, Li Lam, Kwok-Yan Xiong, Mudi Li, Feng Liu, Xin Wang, Jian |
| author_sort | Wang, Li |
| collection | NTU |
| description | Amid the dynamic spectrum access in cognitive radio networks, when complex spectrum conditions should be taken into account, how to price the spectrum in order to benefit primary systems in maximization is still under-investigated. In this paper, we devise a spectrum pricing method to address this issue in cognitive networks. In our proposed mechanism, leasing spectrum is collected for uniform selling and classified into three kinds of channels—high-quality channel, mid-quality channel and low-quality channel, respectively. They will be priced variously according to different interference characteristics caused by versatile path fading and user positions. In respond to heterogeneous channel qualities, secondary users also have own selection preferences. They can purchase one kind of channel for usage in based of channel quality and available budget. Then, we obtain the final pricing solution which is an iterative algorithm converging to a fixed point. Also, the existence of a pure Nash equilibrium is discussed to ensure the rationality of the method. In numerical results, we evaluate the effects of this proposal in spectrum pricing and primary systems’ profits. |
| first_indexed | 2024-10-01T07:36:26Z |
| format | Journal Article |
| id | ntu-10356/137332 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:36:26Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1373322020-03-18T04:07:36Z Spectrum pricing for cognitive radio networks with user’s stochastic distribution Wang, Li Lam, Kwok-Yan Xiong, Mudi Li, Feng Liu, Xin Wang, Jian School of Computer Science and Engineering Engineering::Computer science and engineering Cognitive Radio Spectrum Allocation Amid the dynamic spectrum access in cognitive radio networks, when complex spectrum conditions should be taken into account, how to price the spectrum in order to benefit primary systems in maximization is still under-investigated. In this paper, we devise a spectrum pricing method to address this issue in cognitive networks. In our proposed mechanism, leasing spectrum is collected for uniform selling and classified into three kinds of channels—high-quality channel, mid-quality channel and low-quality channel, respectively. They will be priced variously according to different interference characteristics caused by versatile path fading and user positions. In respond to heterogeneous channel qualities, secondary users also have own selection preferences. They can purchase one kind of channel for usage in based of channel quality and available budget. Then, we obtain the final pricing solution which is an iterative algorithm converging to a fixed point. Also, the existence of a pure Nash equilibrium is discussed to ensure the rationality of the method. In numerical results, we evaluate the effects of this proposal in spectrum pricing and primary systems’ profits. Accepted version 2020-03-18T04:07:36Z 2020-03-18T04:07:36Z 2018 Journal Article Wang, L., Lam, K.-Y., Xiong, M., Li, F., Liu, X., & Wang, J. (2019). Spectrum pricing for cognitive radio networks with user’s stochastic distribution. Wireless Networks, 25(4), 2091-2099. doi:10.1007/s11276-018-1799-8 1022-0038 https://hdl.handle.net/10356/137332 10.1007/s11276-018-1799-8 2-s2.0-85049998002 4 25 2091 2099 en Wireless Networks This is a post-peer-review, pre-copyedit version of an article published in Wireless Networks. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11276-018-1799-8 application/pdf |
| spellingShingle | Engineering::Computer science and engineering Cognitive Radio Spectrum Allocation Wang, Li Lam, Kwok-Yan Xiong, Mudi Li, Feng Liu, Xin Wang, Jian Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title | Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title_full | Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title_fullStr | Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title_full_unstemmed | Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title_short | Spectrum pricing for cognitive radio networks with user’s stochastic distribution |
| title_sort | spectrum pricing for cognitive radio networks with user s stochastic distribution |
| topic | Engineering::Computer science and engineering Cognitive Radio Spectrum Allocation |
| url | https://hdl.handle.net/10356/137332 |
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