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Multi-unmanned aerial vehicle base station trajectory optimization and power distribution method

A technology of trajectory optimization and distribution method, applied in power management, wireless communication, radio transmission system and other directions, can solve problems such as high energy consumption and communication network interference, and achieve the effect of strong applicability

Active Publication Date: 2020-05-22
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-UAV base station trajectory optimization and power allocation method to solve the problems of serious interference and high energy consumption under the communication network formed by the existing multi-performance UAV mobile base station

Method used

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Embodiment

[0090] The diagrams provided in the following examples and the setting of specific parameter values ​​in the model are mainly for illustrating the conception of the present invention and simulation verification. In a specific application environment, appropriate adjustments may be made depending on actual scenarios and requirements.

[0091] The present invention considers a multi-UAV air-to-ground communication system, in a given 1000×1000m 2 In a square service area, M=5 UAV base stations with different performances serve N=100 randomly distributed users. The carrier frequency of each drone base station is 2GHz, and the flight propulsion power of the drone ranges from 10w / m to 30w / m. In order to simplify the problem, the present invention assumes that the flight heights of all drones remain constant h=500m. In other cases, these parameters characterizing the performance of UAV mobile base stations can be changed.

[0092] The present invention first clusters users based on...

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Abstract

The invention discloses a multi-unmanned aerial vehicle base station trajectory optimization and power distribution method. The multi-unmanned aerial vehicle base station is a plurality of unmanned aerial vehicle base stations which are located in the same frequency band and serve ground users, and the storage energy and the service radius of each unmanned aerial vehicle base station are different. The trajectory optimization and power distribution method comprises: performing trajectory optimization and power distribution; establishing an average field pattern game model based on interferenceinteraction; describing the interaction with other members on the basis of the average of the position states and the stored energy states of all unmanned aerial vehicle base stations under the condition of meeting the user communication quality; and constructing a dynamic equation and a cost function of state evolution, and continuously iterating and updating by using an average field value learning algorithm to obtain the optimal planning of the track and the downlink transmitting power. The problems of serious interference and high energy consumption under a communication network formed bythe existing multi-performance unmanned aerial vehicle mobile base station are solved.

Description

【Technical field】 [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a trajectory optimization and power distribution method of a multi-UAV base station. 【Background technique】 [0002] In recent years, with the large-scale production and application of UAVs, the use of UAVs in the field of wireless communication has rapidly become a research hotspot. At the same time, the research and development of the fifth generation communication wireless network has accelerated the diversification process of wireless communication network. As an important part of the fifth generation of wireless communication, drones are expected to play a key role in diverse wireless communication networks. The International Telecommunication Union proposes that UAV-assisted 5G wireless communication can be applied in typical scenarios of enhanced mobile broadband, ultra-reliable low-latency communication, and large-scale machine communication....

Claims

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Application Information

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IPC IPC(8): H04B7/185H04W16/18H04W52/14H04W52/34
CPCH04B7/18506H04W16/18H04W52/143H04W52/34
Inventor 李立欣孙妍李旭王大伟许文俊周竞赛
Owner NORTHWESTERN POLYTECHNICAL UNIV
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