A 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 spectrum efficiency, which belongs to the technical field of wireless communication resource allocation and includes the following steps: 1. The cognitive user uses the energy sensing method to perform spectrum sensing to obtain the cognitive user 2. Under the constraints of the average transmit power of cognitive users, the average interference power of primary users, and the detection probability threshold, an optimization model P1 for maximum energy efficiency and spectral efficiency is established; 3. Equivalent conversion optimization model P1; 4. Solve the optimal power allocation, maximum energy efficiency and maximum spectral efficiency, and obtain the optimal power allocation and maximum energy efficiency and spectral efficiency. The present invention can perform optimal sensing time and optimal power allocation while maximizing cognitive user energy efficiency while satisfying cognitive network spectral efficiency, and can also maximize cognitive user spectrum while satisfying cognitive network energy efficiency Optimal sensing time and optimal power allocation under efficient conditions.

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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