Cognitive radio spectrum allocation method based on an improved chaotic particle swarm optimization algorithm

A chaotic particle swarm, cognitive radio technology, applied in computing, computing models, electrical components, etc., can solve the problem of low efficiency

Inactive Publication Date: 2019-05-17
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to overcome the problem of low efficiency in the existing cognitive radio spectrum allocation method, and to p

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  • Cognitive radio spectrum allocation method based on an improved chaotic particle swarm optimization algorithm
  • Cognitive radio spectrum allocation method based on an improved chaotic particle swarm optimization algorithm
  • Cognitive radio spectrum allocation method based on an improved chaotic particle swarm optimization algorithm

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Embodiment Construction

[0026] The present invention will be further described below using the accompanying drawings and examples.

[0027] figure 1 Represents the cognitive radio system model: In the cognitive radio system, the primary user (PU) and secondary user (SU) adjust the communication range by changing the transmission power, and the communication range is a circle of different sizes. Such as figure 1 As shown, there are 3 PUs, 9 SUs and 3 available channels in this system model, and the number of available channels is the same as the number of primary users. The SU within the PU communication range cannot use the channel occupied by the PU user to ensure that the SU will not affect the normal operation of the PU when occupying the channel. That is, SU1, SU2 and SU3 in the figure cannot use the channel A occupied by PU1. SU4, SU5, SU6, SU7, SU8 and SU9 outside the communication range can occupy channel A. The availability of other channels can be deduced by analogy. It should also be no...

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Abstract

The invention discloses a dynamic time-varying frequency spectrum allocation method based on an improved chaotic particle swarm optimization algorithm, and solves the problem of frequency spectrum allocation taking maximum network benefit as a criterion in a cognitive radio network. In the strategy, chaotic mapping is introduced to carry out traversal optimization on an initial population and eachgeneration of particle positions, so that the global optimization performance of particles is improved, a dimensionality reduction spectrum distribution mathematical model is established, the computational complexity of the algorithm is reduced, and the time cost is reduced. The improved chaotic particle swarm optimization algorithm is applied to the spectrum allocation problem, available spectrums can be allocated to users more efficiently, the total benefits of the system are maximized, and the spectrum utilization rate is further improved.

Description

technical field [0001] The invention relates to the technical field of radio communication, and relates to a cognitive radio frequency spectrum allocation method based on an improved chaotic particle swarm algorithm. Background technique [0002] With the rapid development of wireless communication technology, 5G technology, known for its ultra-high speed, ultra-high capacity, and ultra-short delay, will be commercialized in the next few years, and the traffic volume of wireless communication will increase significantly. Due to the shortage of spectrum resources and the defects of spectrum allocation methods, the problem of low spectrum utilization and the imbalance between supply and demand of communication services is becoming more and more serious. Cognitive radio can dynamically detect the wireless environment, update data through intelligent algorithms and self-learning technology, and at the same time Carry out idle spectrum judgment and calibration and adjustment of w...

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Application Information

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IPC IPC(8): H04B17/382G06N3/00
Inventor 滕志军谢露莹毕楠李红彪滕利鑫陈浩雷
Owner NORTHEAST DIANLI UNIVERSITY
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