Air-ground cooperation method for assisting ground user equipment to unload task data by unmanned aerial vehicle and base station

Abstract

The invention discloses an air-ground cooperation method for assisting ground user equipment to unload task data by an unmanned aerial vehicle and a base station, and the method comprises the steps: enabling the unmanned aerial vehicle to fly for a fixed distance in a certain direction at the beginning of each time slot, and enabling the base station to distribute an unloading scheduling mode for a user in a cell after the unmanned aerial vehicle reaches a new position; a reinforcement learning method based on a deep neural network or a kernel function is adopted, Markov modeling is carried out on unmanned aerial vehicle trajectory planning and user unloading scheduling problems in a dynamic environment, through information interaction with the environment, unmanned aerial vehicle online trajectory planning is achieved, and an optimal strategy of user task unloading scheduling is obtained. And carrying out air-ground cooperation that the unmanned aerial vehicle and the base station assist the ground user equipment to unload the task data. The method can be used for unmanned aerial vehicle online trajectory planning and user task unloading scheduling under a network scene model in which the unmanned aerial vehicle and a base station assist ground user equipment unloading.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an air-ground coordination method for an unmanned aerial vehicle and a base station to assist ground user equipment in unloading task data. Background technique [0002] With the widespread deployment of IoT devices, task data generated by a large number of devices will need to be offloaded to edge computing nodes (such as base stations) with more computing power for processing. However, the terrestrial channel is affected by small-scale fading, and the transmission rate is limited. There is often a line-of-sight channel between UAVs and ground user equipment, which provides a more reliable connection for communication as well as multi-user scheduling and resource allocation. And the flexibility of the UAV can effectively cope with the communication / computing needs of time / space changes. [0003] In the context of Multi-Access Edge Computing (MEC) in ...

AI Technical Summary

Problems solved by technology

But this method is not suitable for solving the problem in highly dynamic scenes

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