Allocation method for optimal power of green cognitive radio security energy efficiency

Abstract

The invention discloses an allocation method for optimal power of green cognitive radio security energy efficiency, which is mainly used for solving the problem in the prior that the maximum security energy efficiency cannot be guaranteed. The allocation method comprises the following steps: setting a power allocation parameter; initialing the power allocation parameter; calculating a true value of optimal sending power; calculating a lagrangian multiplier; calculating an iterative true value of the optimal sending power; calculating an iterative error of the lagrangian multiplier; judging whether the lagrangian multiplier satisfies a termination condition; calculating a security energy efficiency function; calculating secondary user security energy efficiency; judging whether the termination condition is satisfied; and obtaining the optimal sending power of the secondary user security energy efficiency and secondary user maximum security energy efficiency. The allocation method disclosed by the invention has the advantages that the allocation method can be applied to power allocation of maximum security energy efficiency in a green cognitive radio network, the necessary iterations are few, the allocation method is applicable to a variety of fading channels, and the allocation method is easy to achieve.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a method for allocating optimal power for green cognitive radio safety and energy efficiency in the technical field of wireless security communication. The present invention can quickly obtain the optimal power allocation of safe energy efficiency under the condition of maximum safe energy efficiency in various fading channels according to the constraint conditions of average transmission power and average interference power of secondary users. Background technique [0002] The explosive growth of mobile devices and the increasingly diverse demands of communication services have, on the one hand, caused the scarcity of spectrum resources under the existing fixed spectrum resource allocation method; on the other hand, the energy consumed by mobile devices has increased rapidly and emitted a large amount of greenhouse gases. According to existing research reports, the a...

AI Technical Summary

Problems solved by technology

The disadvantage of this power allocation method is that the calculation complexity is high and it is only applicable to traditional wireless networks, and cannot be applied to actual cognitive radio networks.

The disadvantages of this power allocation method are: no eavesdropping users are introduced into the channel model, only the system capacity can be maximized, and safe and reliable communication cannot be guaranteed at the physical layer, and it cannot be applied to secure cognitive radio

The disadvantage of this power allocation method is that it does not take into account the impact of the energy efficiency obtained by secondary users on power allocation, and cannot guarantee the maximum safe energy efficiency for secondary users, resulting in low energy utilization and more greenhouse gas emissions. The power allocation method is difficult to apply in the green cognitive radio with the goal of maximizing energy efficiency

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