Energy efficiency maximum resource allocation method based on unmanned aerial vehicle D2D communication network

Abstract

The invention relates to an energy efficiency maximum resource allocation method based on an unmanned aerial vehicle D2D communication network, and belongs to the technical field of communication. Themethod comprises the following steps: constructing a D2D communication network based on energy collection under the assistance of an unmanned aerial vehicle, the D2D communication network comprisingthe unmanned aerial vehicle, a ground terminal and a D2D user; enabling the unmanned aerial vehicle to hovering over the coverage area and serving as an air base station to send signals to the groundterminal, and enabling a D2D transmitter to collect radio frequency energy from the signals sent by the unmanned aerial vehicle and communicate with a receiver through the collected energy. And according to the flight height constraint of the unmanned aerial vehicle, the minimum energy collection constraint of the D2D user and the service quality constraint of the ground terminal, the position uncertainty and Gaussian channel uncertainty of the D2D user are considered, and a robust energy efficiency maximum resource allocation optimization problem is established. Experimental results show thatthe method can effectively improve the energy efficiency and robustness of the system.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a resource allocation method with maximum energy efficiency based on a UAV D2D communication network. Background technique [0002] With the rapid development of wireless data communication and the large-scale popularization of mobile terminals, the new generation of mobile communication requires wider communication coverage and higher system capacity. At the same time, the large-scale and large-scale communication network makes the energy consumption problem become severe. In order to increase the number of user access and avoid communication blind spots, more wireless nodes need to be deployed. In recent years, UAV (Unmanned Aerial Vehicles, UAV) communication technology has attracted more and more people's attention. Due to the characteristics of low cost, fast deployment and good flexibility of UAV, no matter it is an emergency scene or a hotspot area, no Both man-machi...

AI Technical Summary

Problems solved by technology

[0003] Existing research mainly focuses on UAV-assisted underlayment D2D communication scenarios, ignoring the impact of channel uncertainty and location uncertainty on system performance, as well as the huge energy consumption caused by large-scale user access.

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