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A joint optimization method for UAV trajectory, user association and resource allocation

A joint optimization and resource allocation technology, applied in network traffic/resource management, wireless communication, transportation and packaging, etc., can solve problems such as limited battery capacity and weak computing power, and achieve the effect of minimizing total energy consumption

Active Publication Date: 2022-04-08
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this poses a great challenge to mobile devices with weak computing power and limited battery capacity

Method used

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  • A joint optimization method for UAV trajectory, user association and resource allocation
  • A joint optimization method for UAV trajectory, user association and resource allocation
  • A joint optimization method for UAV trajectory, user association and resource allocation

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Embodiment Construction

[0068] The present invention is described in further detail now in conjunction with accompanying drawing.

[0069] It should be noted that terms such as "upper", "lower", "left", "right", "front", and "rear" quoted in the invention are only for clarity of description, not for Limiting the practicable scope of the present invention, and the change or adjustment of the relative relationship shall also be regarded as the practicable scope of the present invention without substantive changes in the technical content.

[0070] combine Image 6 , the present invention refers to a joint optimization method for UAV trajectory, user association and resource allocation, assuming that the network includes user UAV set N=={1,2,...,N} and MEC UAV set M=={1,2,...,M}, the task set is represented by S={1,2,...,S}; the user UAV cluster has been divided into clusters in advance, and the cluster head set cluster membership

[0071] The joint optimization method comprises the following step...

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Abstract

The invention discloses a method for joint optimization of UAV trajectory, user association and resource allocation. Considering the air-to-air communication network, a patrol system supporting mobile edge computing composed of multiple user UAVs and MEC UAVs, each User drones are equipped with sensors for data collection, and MEC drones are equipped with edge computing servers to assist user drones in computing tasks. User drones move in specified areas to cover mission points, and their computing tasks can be offloaded to the edge. Computing can be performed on the computing UAV, or it can be offloaded to the cluster head UAV for calculation. The trajectory of man-machine is jointly optimized. The present invention can minimize the total energy consumption of the user's UAV under the constraint of ensuring computing resources and task completion time.

Description

technical field [0001] The present invention relates to the technical field of mobile edge computing in UAV Ad Hoc Networks, and specifically relates to a joint optimization method for mobile edge computing UAV trajectory, user association and computing resource allocation under a clustering architecture. Background technique [0002] In the application of area coverage problem, performing computationally intensive tasks is one of the challenges faced by UAVs. In recent years, with the development of communication and artificial intelligence, computing-intensive applications are triggering a mobile application revolution, which can significantly improve the quality of experience of mobile users. However, this poses a great challenge to mobile devices with weak computing power and limited battery capacity. Mobile edge computing is considered as one of the promising technologies to address this challenge, receiving increasing research attention from both industry and academia...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W4/40H04W24/02H04W24/06H04W28/02H04W84/18
CPCH04W4/029H04W4/40H04W24/02H04W24/06H04W28/0221H04W84/18Y02D30/70
Inventor 董超游文静经宇骞刘青昕屈毓锛陶婷吴启晖
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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