Spectrum optimization in cognitive satellite networks with graph coloring method

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 optimizati...

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Main Authors: Wang, Li, Lam, Kwok-Yan, Zhang, Jiangxin, Li, Feng
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144399
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1443992020-11-03T06:47:56Z Spectrum optimization in cognitive satellite networks with graph coloring method Wang, Li Lam, Kwok-Yan Zhang, Jiangxin Li, Feng School of Computer Science and Engineering Research Techno Plaza Engineering::Computer science and engineering Cognitive Satellite Networks Spectrum Optimization 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. National Research Foundation (NRF) Accepted version This 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. 2020-11-03T06:44:30Z 2020-11-03T06:44:30Z 2019 Journal Article 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 1022-0038 https://hdl.handle.net/10356/144399 10.1007/s11276-019-02138-9 en Strategic Centre for Research in Privacy-Preserving Technologies & Systems Wireless Networks © 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 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Cognitive Satellite Networks
Spectrum Optimization
spellingShingle Engineering::Computer science and engineering
Cognitive Satellite Networks
Spectrum Optimization
Wang, Li
Lam, Kwok-Yan
Zhang, Jiangxin
Li, Feng
Spectrum optimization in cognitive satellite networks with graph coloring method
description 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.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Wang, Li
Lam, Kwok-Yan
Zhang, Jiangxin
Li, Feng
format Article
author Wang, Li
Lam, Kwok-Yan
Zhang, Jiangxin
Li, Feng
author_sort Wang, Li
title Spectrum optimization in cognitive satellite networks with graph coloring method
title_short Spectrum optimization in cognitive satellite networks with graph coloring method
title_full Spectrum optimization in cognitive satellite networks with graph coloring method
title_fullStr Spectrum optimization in cognitive satellite networks with graph coloring method
title_full_unstemmed Spectrum optimization in cognitive satellite networks with graph coloring method
title_sort spectrum optimization in cognitive satellite networks with graph coloring method
publishDate 2020
url https://hdl.handle.net/10356/144399
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