Multi-unmanned aerial vehicle cooperative calculation and path control method and device

A path control, multi-drone technology, applied in wireless communication, transportation and packaging, vehicle wireless communication services, etc., can solve the problem of ignoring the fairness of drone services, users enjoying service fairness, wasting computing resources, and backward computing speed and other issues to maximize the effect of service fairness

Pending Publication Date: 2022-02-22
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, the currently researched UAV solution tasks can only be unloaded at one place on the user and the UAV, which wastes a lot of computing resources. The traditional method to solve the UAV trajectory design will cause serious calculation speed due to the exponential increase in trajectory decision-making. Falling behind and ignoring the fairness of drone services and the fairness of users enjoying services

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  • Multi-unmanned aerial vehicle cooperative calculation and path control method and device
  • Multi-unmanned aerial vehicle cooperative calculation and path control method and device
  • Multi-unmanned aerial vehicle cooperative calculation and path control method and device

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Embodiment Construction

[0050] Two existing UAV control schemes are now described:

[0051] Such as figure 1 , assuming that N AR devices are randomly distributed in a max , and the positions of the AR devices are randomly distributed, the set of N devices is set as N={1, 2,...N}, and the M drones are initially set at the position of the height H, for each The AR device at the location provides edge computing services and has a stable power supply, and it is assumed that wireless power transmission and computing offloading are performed in the same frequency band to avoid mutual interference between AR devices and UAVs during task offloading. The set of M UAVs is set up as M={1,2,...M}, we assume that each AR device is in each time period Ts={1,2,...T} in a continuous time period A task with a prominent task intensity of St will be generated in each step, which needs to be calculated. At this time, the task needs to decide whether to perform local calculation on the AR device or offload the task t...

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Abstract

The invention provides a multi-unmanned aerial vehicle cooperative calculation and path control method and device. The method comprises the steps of: building a minimum time unloading task model, a minimum energy unloading task model, and a fair balancing model of energy consumption and operation time, and acquiring an unmanned aerial vehicle unloading task distribution strategy; and designing trajectories of unmanned aerial vehicles in combination with a multi-agent depth deterministic strategy gradient, and maximizing the service fairness. According to the multi-unmanned aerial vehicle cooperative calculation and path control method, multiple unmanned aerial vehicles are used for assisting user task unloading, the technical scheme of a calculation task allocation strategy is determined, meanwhile, edge servers of multiple base stations are considered to carry out resource sharing to process calculation tasks of wireless equipment, the unmanned aerial vehicles are used for replacing traditional base stations to carry out edge calculation service, and the maximum service fairness can be achieved.

Description

technical field [0001] The present invention relates to the technical fields of UAV path control, Mobile Edge Computing (MEC, Mobile Edge Computing), multi-agent deep reinforcement learning, and resource allocation, and in particular to a multi-UAV collaborative computing and path control method, electronic device and computer readable storage medium. Background technique [0002] Augmented Reality (AR) equipment, as a tool to connect reality and virtuality, allows users to have an immersive experience. It is one of the hot fields at present, but it also faces many challenges. There are two characteristics of AR equipment: one is the real world and the virtual world. Information integration, which also requires AR devices to run many complex algorithms, followed by AR devices must process a large amount of data, such as video data analysis, image data analysis, and natural language analysis. High-precision data analysis will bring a lot of redundant calculations, resulting ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/40H04W24/02
CPCH04W4/40H04W24/02Y02D30/70
Inventor 王丰廖墀坤崔苗
Owner GUANGDONG UNIV OF TECH
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