Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks
With the rapid development of modern satellite communications, broadband satellite services are experiencing a period of remarkable growth in both user population and available bandwidth. Efficient spectrum management is required in order to meet the ever-increasing demand for broadband spectrum. In...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2018
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| Online Access: | https://hdl.handle.net/10356/87748 http://hdl.handle.net/10220/45464 |
| _version_ | 1811694265137364992 |
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| author | Li, Feng Liu, Xin Lam, Kwok-Yan Na, Zhenyu Hua, Jingyu Wang, Jian Wang, Li |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Li, Feng Liu, Xin Lam, Kwok-Yan Na, Zhenyu Hua, Jingyu Wang, Jian Wang, Li |
| author_sort | Li, Feng |
| collection | NTU |
| description | With the rapid development of modern satellite communications, broadband satellite services are experiencing a period of remarkable growth in both user population and available bandwidth. Efficient spectrum management is required in order to meet the ever-increasing demand for broadband spectrum. In this paper, a spectrum allocation scheme for cognitive satellite networks is proposed to improve spectrum efficiency by addressing the situation that scarce spectrum resource is under-utilized while the overall demands of cognitive satellite users are not satisfied. The proposed scheme is devised to optimize bandwidth efficiency by achieving the Bayesian equilibrium through spectrum competition among cognitive satellite users. Due to the scarcity of spectrum resource, satellite systems have to eliminate some of the cognitive users' transmission information types in order to fulfill the spectrum needs of priority users. After declining one or several kinds of modulation modes, cognitive users can update their spectrum lists. With the increase in number of cognitive users and their corresponding transmission information types, the complexity of the optimization problem increases significantly and becomes a computation burden to cognitive satellite systems. Therefore, in this paper, we propose a simplified solution for spectrum resource optimization in a computation-efficient manner. Through rounds of eliminating operations, the satellite systems can identify the final Bayesian equilibrium as an optimal spectrum allocation strategy. We also provide proofs for the existence of Bayesian equilibrium. Numerical results are given to evaluate the performance of our proposed method from diverse perspectives. |
| first_indexed | 2024-10-01T07:04:49Z |
| format | Journal Article |
| id | ntu-10356/87748 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:04:49Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/877482020-03-07T11:48:59Z Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks Li, Feng Liu, Xin Lam, Kwok-Yan Na, Zhenyu Hua, Jingyu Wang, Jian Wang, Li School of Computer Science and Engineering Spectrum Allocation Cognitive Satellite Communications With the rapid development of modern satellite communications, broadband satellite services are experiencing a period of remarkable growth in both user population and available bandwidth. Efficient spectrum management is required in order to meet the ever-increasing demand for broadband spectrum. In this paper, a spectrum allocation scheme for cognitive satellite networks is proposed to improve spectrum efficiency by addressing the situation that scarce spectrum resource is under-utilized while the overall demands of cognitive satellite users are not satisfied. The proposed scheme is devised to optimize bandwidth efficiency by achieving the Bayesian equilibrium through spectrum competition among cognitive satellite users. Due to the scarcity of spectrum resource, satellite systems have to eliminate some of the cognitive users' transmission information types in order to fulfill the spectrum needs of priority users. After declining one or several kinds of modulation modes, cognitive users can update their spectrum lists. With the increase in number of cognitive users and their corresponding transmission information types, the complexity of the optimization problem increases significantly and becomes a computation burden to cognitive satellite systems. Therefore, in this paper, we propose a simplified solution for spectrum resource optimization in a computation-efficient manner. Through rounds of eliminating operations, the satellite systems can identify the final Bayesian equilibrium as an optimal spectrum allocation strategy. We also provide proofs for the existence of Bayesian equilibrium. Numerical results are given to evaluate the performance of our proposed method from diverse perspectives. Published version 2018-08-06T04:28:03Z 2019-12-06T16:48:36Z 2018-08-06T04:28:03Z 2019-12-06T16:48:36Z 2018 Journal Article Li, F., Liu, X., Lam, K. Y., Na, Z., Hua, J., Wang, J., et al. (2018). Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks. IEEE Access, 6, 9713-9722. https://hdl.handle.net/10356/87748 http://hdl.handle.net/10220/45464 10.1109/ACCESS.2018.2797278 en IEEE Access © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 10 p. application/pdf |
| spellingShingle | Spectrum Allocation Cognitive Satellite Communications Li, Feng Liu, Xin Lam, Kwok-Yan Na, Zhenyu Hua, Jingyu Wang, Jian Wang, Li Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title | Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title_full | Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title_fullStr | Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title_full_unstemmed | Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title_short | Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks |
| title_sort | spectrum allocation with asymmetric monopoly model for multibeam based cognitive satellite networks |
| topic | Spectrum Allocation Cognitive Satellite Communications |
| url | https://hdl.handle.net/10356/87748 http://hdl.handle.net/10220/45464 |
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