Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144399
Title: Spectrum optimization in cognitive satellite networks with graph coloring method
Authors: Wang, Li
Lam, Kwok-Yan
Zhang, Jiangxin
Li, Feng
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Wang, L., Lam, K.-Y., Zhang, J., & Li, F. (2019). Spectrum optimization in cognitive satellite networks with graph coloring method. Wireless Networks. doi:10.1007/s11276-019-02138-9
Project: Strategic Centre for Research in Privacy-Preserving Technologies & Systems
Journal: Wireless Networks
Abstract: Cognitive 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.
URI: https://hdl.handle.net/10356/144399
ISSN: 1022-0038
DOI: 10.1007/s11276-019-02138-9
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: http://dx.doi.org/10.1007/s11276-019-02138-9
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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