Improved particle swarm-based power control optimization algorithm in cognitive radio network

Abstract

The invention relates to a power control optimization algorithm in a cognitive radio network, which belongs to the field of system resource allocation. The algorithm comprises the following steps: 1, initializing the iteration number of the algorithm, the positions and speed of particles and the basic parameters of the particle swarm; 2, calculating a fitness function value, setting the position Xa of an individual particle as the initial best position, and setting the particle with the best function value in the swarm as the initial best swarm position Gbestk; 3, searching based on a PSO algorithm, updating the best positions of the particles and the swarm and updating the speed and positions of the particles by using a fundamental formula of the particle swarm; and 4, setting a termination standard. The invention conducts study on the non-convex optimization problem controlled by the cognitive radio power and puts forward an improved particle swarm-based power control algorithm which allows utility functions such as an S-type function a convex function and the like to be non-concave, thereby conforming to the actual network better. Parameter adjustment is performed by the particle swarm algorithm to guarantee the global astringency of the algorithm. The algorithm of the invention has better validity and rapidity.

Description

technical field [0001] The invention relates to a power control optimization algorithm based on an improved particle swarm in a cognitive radio network, and belongs to the technical field of system resource allocation. Background technique [0002] The current spectrum usage method follows the principle of fixed allocation. The licensed frequency bands are sometimes underutilized, and the unlicensed frequency bands are overcrowded, which cannot meet the increasing spectrum demand. In order to solve this contradiction, people put forward cognitive radio (Cognitive Radio, CR) [1] the concept of. [0003] Cognitive radio system is an intelligent wireless communication system. It can perceive the surrounding wireless environment, and through understanding and learning of the environment, its internal state can adapt to changes in the external wireless environment, so as to realize reliable communication anytime and anywhere and spectrum resources. Efficient use of [2] . Powe...

AI Technical Summary

Problems solved by technology

[0002] The current spectrum usage method follows the principle of fixed allocation. The licensed frequency bands are sometimes not highly utilized, and the unlicensed frequency bands are overcrowded, which cannot meet the increasing spectrum demand.

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