An Energy Efficiency Fairness Optimization Method Based on Energy Harvesting

Abstract

The invention discloses an energy efficiency fairness optimization method based on energy capture. The method comprises the following steps: obtaining initial data comprising base station transmittingpower, a path loss factor, a network receiving threshold, the distance between a user and the base station of a single-layer network, a total network bandwidth and the interference of the base station of other layers of networks on the user; in the case of orthogonal frequency spectrum segmentation, obtaining an average logarithm of the coverage probability according to the path loss factor and the network receiving threshold; establishing a network energy efficiency model with the maximum network energy efficiency value as the target according to the average logarithm of the coverage probability, the total network bandwidth and the network receiving threshold, and obtaining an implicit function of the network receiving threshold based on the network energy efficiency model; and inputtingthe initial data in the implicit function of the network receiving threshold to obtain an optimal network receiving threshold and an optimal network energy efficiency value. By adoption of the energyefficiency fairness optimization method, the energy fairness of the whole network is effectively improved while the quality of service of the user is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and more particularly relates to an energy efficiency fairness optimization method based on energy capture. Background technique [0002] With the exponential growth of the number of IoT sensor nodes and the continuous improvement of traffic demand, Wireless Power Communication Network (WPCN) has become a solution to provide wireless communication services for IoT nodes. Since the wireless power communication network can perform wireless power transmission and wireless information transmission at the same time, it can easily supplement energy for IoT sensors without grid power supply and prolong the working life of nodes. However, in the context of a sharp rise in network operating costs and total carbon emissions in the communications industry, existing technologies have the technical problem of being unable to improve the total energy efficiency of the network system while ensuri...

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Problems solved by technology

[0003] In view of the above defects or improvement needs of the prior art, the present invention provides an energy efficiency fairness optimization method based on energy capture, thereby solving the problem that the prior art cannot improve the total energy efficiency of the network system while ensuring the user service quality technical problem

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