Abstract
Cognitive radio system is a typical cognitive system. Spectrum decision in cognitive radio must consider the QoS requirement. The requirements in this paper are to ensure the largest network and the optimal parameter for communication at the same time. To satisfy these requirements, spectrum decision needs to select appropriate communication parameters, adjust subnet topology, and take electromagnetic compatibility (EMC) into account for multi-transceiver users. This paper analyzes the principle of electromagnetic compatibility and gives the flow of electromagnetic compatibility analysis (EMCA). Then, a precise QoS model based on the EMCA is proposed. The precise EMC QoS (pEMC) model takes the topological bottlenecks, electromagnetic compatibility, and spectrum pool capacity into account. The complexity of EMCA will rapidly increase with the spread of spectrum pool of topology, and a real-time spectrum decision cannot be guaranteed. Then, an approximate EMC QoS (aEMC) model is proposed and the consistency of these two models is simulated. The results show a high consistency between the pEMC and aEMC model so that the aEMC model can substitute for the pEMC model in practice.
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Acknowledgments
This research is supported by the State Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences. The author wishes to thank Zhou Xin, an engineer in the laboratory, who presented related application requirements; Doctor Liao Ming-Xue, who proposed the EMC QoS models and related simulation designs; and Xu Kun, a graduate student, who completed a theoretic proof.
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© 2014 Springer-Verlag Berlin Heidelberg
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Ren, Hy., Liao, Mx., He, Xx., Xu, K. (2014). A Simulation of Electromagnetic Compatibility QoS Model in Cognitive Radio Network. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_15
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DOI: https://doi.org/10.1007/978-3-642-37829-4_15
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