Cognitive radio power allocation method based on joint optimization of energy efficiency and spectral efficiency

Abstract

The invention discloses a cognitive radio power allocation method based on joint optimization of energy efficiency and spectral efficiency, and belongs to the technical field of wireless communicationresource allocation. The method comprises the following steps: 1. a cognitive user adopts an energy sensing method to perform spectrum sensing to obtain a detection probability and a false alarm probability of the cognitive user; 2. under the constraints of the average transmitting power of the cognitive user, the average interference power of a primary user and a detection probability threshold,an optimization model P1 of maximum energy efficiency and spectral efficiency is established; 3, optimization model P1 is equivalently converted; and 4. optimal power allocation, maximum energy efficiency and maximum spectral efficiency are solved to obtain the optimal power allocation and the maximum energy efficiency spectrum efficiency. By adoption of the cognitive radio power allocation method disclosed by the invention, the optimal perceptual time and the optimal power allocation can be performed while satisfying the spectral efficiency of the cognitive network and maximizing the energyefficiency of the cognitive user, and the optimal perceptual time and the optimal power allocation can also be performed while satisfying the energy efficiency of the cognitive network and maximizingthe spectral efficiency of the cognitive user .

Description

technical field [0001] The invention relates to a joint optimization method for perception time and power allocation, in particular to a cognitive radio power allocation method based on joint optimization of energy efficiency and spectrum efficiency, and belongs to the technical field of wireless communication resource allocation. Background technique [0002] The rapid development of wireless and mobile communication technologies, on the one hand, has caused the shortage of spectrum resources under the existing fixed spectrum resource allocation mode, and on the other hand, has led to the rapid increase of energy consumed by mobile devices, resulting in energy shortages. According to the current According to research reports, the annual energy consumption of information and communication technology accounts for 2% to 10% of the total annual energy consumption. Therefore, with the development of green communication technology, energy efficiency, referred to as energy efficien...

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Problems solved by technology

However, this method does not consider the spectral effect of the cognitive network, and it does not consider the optimization of cognitive user perception time

[0007] Hu H, Zhang H, Liang Y C et al. proposed a method to maximize energy efficiency and spectral efficiency at the same time. This method aims at maximizing the energy efficiency and spectral efficiency of cognitive users at the same time, and designs the optimal cognitive user's Sensing time, sensing threshold, sensing strategy, and the number of users for cooperative sensing, but this method does not consider the power allocation of cognitive users

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