Modeling of Spectrum Sensing Energy Consumption in Cognitive Radio Networks

Authors

Ziru Cui, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
Peng Yi, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

Abstract

Abstract: In cognitive radio networks, the energy consumption in the process of spectrum sensing is the hot spot of research. A unified framework for modeling based on Poisson process was developed which could be used even under interference limited to count the energy consumption, thereby obtaining a spectrum sensing energy consumption. Spectrum sensing energy as the function of the number of secondary users in cognitive radio networks, their spatial density and the number of hops, could be modelled as a truncated gamma distribution. This model is used to statistically analyze cognitive users' energy consumption in the process of spectrum sensing under the circumstance of temporal perception, spatial perception and temporal - spatial joint perception. Simulation and analysis results show that the model is of scientific rationality.

Recommended Citation

Cui, Ziru and Yi, Peng (2020) "Modeling of Spectrum Sensing Energy Consumption in Cognitive Radio Networks," Journal of System Simulation: Vol. 29: Iss. 10, Article 14.
DOI: 10.16182/j.issn1004731x.joss.201710014
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss10/14

First Page

2330

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201710014

Last Page

2335

CLC

TP393.17

Recommended Citation

Cui Ziru, Peng Yi. Modeling of Spectrum Sensing Energy Consumption in Cognitive Radio Networks[J]. Journal of System Simulation, 2017, 29(10): 2330-2335.

DOI

10.16182/j.issn1004731x.joss.201710014