Cognitive communication physical layer secure energy efficiency optimization method based on artificial noises

Abstract

The invention discloses a cognitive communication physical layer secure energy efficiency optimization method based on artificial noises. A cognitive base station carries out joint design of secret signals and the artificial noises according to channel state information between the cognitive base station and a cognitive user; and through optimization of power allocation of the secret signals and the artificial noises, on the basis of ensuring a secure transmission rate, the secure transmission energy efficiency of a cognitive network is maximized. According to the method, a double-layer optimization algorithm is designed; an external layer optimization problem is solved through one-dimensional search; an internal layer optimization problem is solved through converting a fractional form into a subtractive form; and compared with a traditional average power allocation scheme, the method has the advantage of clearly improving the energy efficiency of a cognitive communication system.

Description

technical field [0001] The invention relates to a secure transmission method for maximizing system energy efficiency in a cognitive communication physical layer, in particular to a method for optimizing the safety and energy efficiency of a cognitive communication physical layer based on artificial noise, and belongs to the technical field of wireless communication networks. Background technique [0002] With the rapid development of wireless communication technology, people's demand for broadband resources is increasing; however, as a non-renewable scarce resource, radio spectrum has a very limited supply. However, the existing fixed spectrum allocation policy leads to low utilization of spectrum resources, so it is necessary to innovate the existing spectrum management methods. In this context, Cognitive Radio (Cognitive Radio) came into being. By enabling the communication system to have a cognitive function, it allows secondary users to sense and analyze the spectrum, an...

AI Technical Summary

Problems solved by technology

At present, there are two main types of technologies commonly used to suppress the signal reception quality of eavesdroppers. One is to perform beamforming on the transmitted signal, aiming the transmitted signal at the legitimate user, and at the same time reduce the strength of the received signal at the eavesdropping end; the other is to generate artificial noise. to interfere with eavesdroppers

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