Spectrum optimization in cognitive satellite networks with graph coloring method
| Autor: | Jiangxin Zhang, Kwok-Yan Lam, Feng Li, Li Wang |
|---|---|
| Přispěvatelé: | School of Computer Science and Engineering, Research Techno Plaza |
| Rok vydání: | 2019 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Spectrum Optimization Distributed computing Quality of service Analytic hierarchy process Inference 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Interference (wave propagation) Frequency allocation 0203 mechanical engineering Cognitive Satellite Networks 0202 electrical engineering electronic engineering information engineering Computer science and engineering [Engineering] The Internet Graph coloring Electrical and Electronic Engineering business Information Systems |
| Zdroj: | Wireless Networks. |
| ISSN: | 1572-8196 1022-0038 |
| DOI: | 10.1007/s11276-019-02138-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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