Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89634
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dc.contributor.authorLi, Fengen
dc.contributor.authorLam, Kwok-Yanen
dc.contributor.authorZhao, Nanen
dc.contributor.authorLiu, Xinen
dc.contributor.authorZhao, Kanglianen
dc.contributor.authorWang, Lien
dc.date.accessioned2019-05-24T06:18:40Zen
dc.date.accessioned2019-12-06T17:29:58Z-
dc.date.available2019-05-24T06:18:40Zen
dc.date.available2019-12-06T17:29:58Z-
dc.date.issued2018en
dc.identifier.citationLi, F., Lam, K.-Y., Zhao, N., Liu, X., Zhao, K., & Wang, L. Spectrum Trading for Satellite Communication Systems with Dynamic Bargaining. IEEE Transactions on Communications, 66(10), 4680 - 4693. doi:10.1109/TCOMM.2018.2837909en
dc.identifier.issn0090-6778en
dc.identifier.urihttps://hdl.handle.net/10356/89634-
dc.description.abstractWith the rapid development of modern satellite communications, broadband satellite services are experiencing a period of remarkable growth in both the number of users and the available bandwidth. More efficient spectrum management schemes require deeper investigation in order to meet the ever-increasing demand for broadband spectrum. In this paper, we propose a band allocation method for multibeam satellite systems by introducing a market-driven pricing mechanism. Instead of adopting static and fixed band selling, we consider a satellite network operator that utilizes the mode of price bargaining to trade the unused band with terrestrial network operators. By applying market-based mechanism to support satellite spectrum allocation, higher spectrum efficiency can be attained in order for satellite systems to meet the increasing demands for satellite bandwidth at an affordable cost. Besides, for the one-to-many bargaining case without terrestrial operator involved in, a differential spectrum pricing solution is devised to address heterogeneous users' spectrum preferences. In a typical price bargaining model, market participants (i.e., terrestrial network operators) are assumed to know exactly their needs dynamically, which is hard to achieve in near real-time; thus, our approach approximates it with a sub-optimal estimation on the network operators' benefit threshold. To be specific, we obtain the optimal pricing at every round of bargaining by predicting the overall benefits of terrestrial network operators and reaching the Nash equilibrium. Essential discussions and proofs for the pricing rationality are provided. Numerical results are given to evaluate the impact of the pricing scheme on the profits of satellite systems.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.format.extent14 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Transactions on Communicationsen
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCOMM.2018.2837909.en
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.subjectSatellite Communication Systemsen
dc.subjectSpectrum Allocationen
dc.titleSpectrum trading for satellite communication systems with dynamic bargainingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.identifier.doi10.1109/TCOMM.2018.2837909en
dc.description.versionAccepted versionen
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