Hybrid Spectrum Access and Power Allocation Based on Improved Hopfield Neural Networks

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This paper aims to solve the optimization power allocation problem based on cognitive radio network system. We propose a Hybrid Spectrum Access (HSA) method which considers the total transmit power constraint, the peak power constraint and the primary users’ tolerance. In order to solve this combinational optimization problem and achieve the global optimal solution, we derived a Simulated Annealing-Hopfield neural networks (SA-HNN). The simulation results of the optimized ergodic capacity shows that the proposed optimization problem can be solved more efficiently and better by SA-HNN than HNN or Simulated Annealing (SA), and the proposed HSA method by SA-HNN can achieve a better ergodic capacity than the traditional methods.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

1490-1494

Citation:

M. Yang and M. Y. Jiang, "Hybrid Spectrum Access and Power Allocation Based on Improved Hopfield Neural Networks", Advanced Materials Research, Vols. 588-589, pp. 1490-1494, 2012

Online since:

November 2012

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$38.00

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