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Artificial physics optimization cognitive radio network spectrum distribution method

A cognitive radio and spectrum allocation technology, applied in the field of wireless network communication, can solve the problem of low efficiency of spectrum allocation

Inactive Publication Date: 2014-11-26
TIANJIN POLYTECHNIC UNIV +5
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Problems solved by technology

[0005] The problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide an artificial physical optimization cognitive radio network spectrum allocation method, and solve the problem of low efficiency of spectrum allocation

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  • Artificial physics optimization cognitive radio network spectrum distribution method
  • Artificial physics optimization cognitive radio network spectrum distribution method
  • Artificial physics optimization cognitive radio network spectrum distribution method

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Embodiment Construction

[0044] The specific embodiments, structure, features, and effects provided by the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.

[0045] Such as figure 1 A method for spectrum allocation of cognitive radio networks with artificial physical optimization is shown, which includes the following steps:

[0046] (1) Obtain the idle matrix of the spectrum according to the spectrum sensing result Income matrix Interference matrix ;

[0047] In the embodiment of the present invention, the idle matrix Randomly generated 0,1 binary matrix, and ensure that at least one element in each column is 1 (that is, at least one spectrum is available); income matrix for Matrix, the reference value of revenue is network throughput; interference matrix It is a randomly generated 0,1 binary symmetric matrix, and at the same time, it must meet the corresponding constraints. Cognitive user Value range 1-20, available sp...

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Abstract

The invention relates to an artificial physics optimization cognitive radio network spectrum distribution method for solving the problem that the spectrum distribution efficiency is low in the prior art. The realization steps are: (1) obtaining an idle matrix, an income matrix, and a disturbance matrix of the spectrum, (2) mapping a spectrum distribution matrix encoding as a particle in the artificial physic optimization and determining a fitness evaluation function, (3) initializing population and setting related parameters, (4) correcting particles and calculating fitness value, (5) determining whether latest evolution generations is achieved, if yes, mapping the optimal particle encoding as a spectrum distribution matrix type to obtain the optimal spectrum distribution matrix, if not, switching to the step (6) to calculate the composite force of each particle, (7) calculating the particle motion and updating, and (8) switching to the step (4) if the evolution generations is increased. The artificial physic method adopted by the invention has advantages of less in parameters and quick in rate of convergence, and can better realize the maximum of the network income.

Description

technical field [0001] The invention belongs to the field of wireless network communication, and in particular relates to a cognitive radio network spectrum allocation method with artificial physical optimization, which can be used to allocate spectrum resources of the cognitive wireless network. Background technique [0002] Wireless spectrum is a scarce and non-renewable resource. At present, the rapid growth and wide application of wireless-based communication services have led to increasingly prominent contradictions between supply and demand of spectrum resources. In cognitive radio networks, cognitive users (secondary users) can access the spectrum holes of authorized users (primary users) to improve the utilization of wireless spectrum resources. Spectrum allocation is an eternal hotspot in the research of cognitive radio networks. It mainly focuses on how to efficiently allocate available spectrum resources while meeting certain allocation objectives after sensing ...

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Application Information

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IPC IPC(8): H04W16/14G06N3/00
Inventor 柴争义朱思峰李亚伦陈国强赵晓非
Owner TIANJIN POLYTECHNIC UNIV
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