Volume 16, Issue 2 (2016)
MJEE 2016, 16(2): 24-31 |
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Montazeri A, Alavi F. Price-Based Resource Allocation in Cognitive Radio Networks via Game Theory with Imperfect Spectrum Sensing. MJEE 2016; 16 (2) :24-31
URL: http://mjee.modares.ac.ir/article-17-11116-en.html
URL: http://mjee.modares.ac.ir/article-17-11116-en.html
1- Ph.D in Electrical and Electronics Engineering,
Research fellow at Iran Telecommunication research Center, Tehran, Iran,
2- Ph.D student, Department of Electronics, The University of York, York, United Kingdom,
2- Ph.D student, Department of Electronics, The University of York, York, United Kingdom,
Abstract: (4907 Views)
In this paper, we consider a price-based resource allocation within an Orthogonal Frequency-Division Multiple Access (OFDMA) based on spectrum sensing in the cognitive networks. Furthermore, there is the primary network which has an opportunity to sell the spectrum to secondary network. We assume the secondary network’s interference pricing is used to
protect primary network and propose a joint utility maximization of the primary and secondary with a maximum interference constraint at the primary and a transmission power threshold at the secondary transmitter. Accordingly, we devise a novel cost computation strategy which is function of primary and secondary behaviors. To formulate this method, a Stackelberg game and equilibriums are exploited. Numerical results are presented to verify the proposed scheme. The impact of different system parameters is investigated and compared through simulations.
protect primary network and propose a joint utility maximization of the primary and secondary with a maximum interference constraint at the primary and a transmission power threshold at the secondary transmitter. Accordingly, we devise a novel cost computation strategy which is function of primary and secondary behaviors. To formulate this method, a Stackelberg game and equilibriums are exploited. Numerical results are presented to verify the proposed scheme. The impact of different system parameters is investigated and compared through simulations.
Received: 2017/04/6 | Accepted: 2016/06/1 | Published: 2017/08/5
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