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dc.contributor.authorWang, Lien_US
dc.contributor.authorLam, Kwok-Yanen_US
dc.contributor.authorZhang, Jiangxinen_US
dc.contributor.authorLi, Fengen_US
dc.identifier.citationWang, L., Lam, K.-Y., Zhang, J., & Li, F. (2019). Spectrum optimization in cognitive satellite networks with graph coloring method. Wireless Networks. doi:10.1007/s11276-019-02138-9en_US
dc.description.abstractCognitive satellite networks can enhance spectrum efficiency by enabling satellite networks to dynamically share idle spectrum with terrestrial networks. However, when taking into consideration the inter-cell or internet interferences in various application circumstances, dynamic spectrum optimization in cognitive satellite networks remains challenging due to the diversified QoS demands of secondary terrestrial users. To address this issue, this paper proposes an efficient spectrum allocation algorithm which is based on graph coloring technique and combined with analytic hierarchy process so as to meet the requirements of dynamic spectrum allocation to secondary terrestrial users with diversified QoS demands and yet without causing severe inference to primary satellite users. In this paper, we combine graph coloring algorithm and analytic hierarchy process so as to assign the heterogeneous spectrum bands to secondary users in an orderly manner. The method of graph coloring is applied to control obvious interference caused by the secondary users. We also provide numerical results to evaluate the impacts of different parameter settings on the performances of the proposed solution.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relationStrategic Centre for Research in Privacy-Preserving Technologies & Systemsen_US
dc.relation.ispartofWireless Networksen_US
dc.rights© 2019 Springer. This is a post-peer-review, pre-copyedit version of an article published in Wireless Networks. The final authenticated version is available online at:
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleSpectrum optimization in cognitive satellite networks with graph coloring methoden_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.researchResearch Techno Plazaen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsCognitive Satellite Networksen_US
dc.subject.keywordsSpectrum Optimizationen_US
dc.description.acknowledgementThis research is supported by the National Research Foundation, Prime Ministers Office, Singapore under its Strategic Capability Research Centres Funding Initiative. This work is also supported by the National Natural Science Foundation of China under Grant 51404211.en_US
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