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Optimization method of unmanned aerial vehicle cooperative digital-energy integrated network

An optimization method and unmanned aerial vehicle technology, applied in the optimization field of digital energy integrated network, can solve the problems that the performance cannot be maximized, individual users are missed, and the approximate algorithm cannot obtain the optimal solution, etc.

Active Publication Date: 2021-03-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] For user area division, many studies only use the simplest threshold distance to divide the area, which is likely to lead to uneven division and the omission of individual users; the approximate algorithm of the UAV trajectory may not get the optimal solution; and a separate Considering the optimization of WET and WIT will also make the performance not maximized, so that the optimal solution cannot be obtained

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  • Optimization method of unmanned aerial vehicle cooperative digital-energy integrated network
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  • Optimization method of unmanned aerial vehicle cooperative digital-energy integrated network

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Embodiment Construction

[0053] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0054] The present invention provides a method for optimizing the network throughput and harvesting energy of multi-user integrated network throughput and harvesting energy coordinated by drones, which consists of user area division, drone hover point solution, drone flight trajectory design and optimization Link throughput and harvesting energy are composed of four parts, including the following steps:

[0055] S1. Determine the network system model. In this model, it can be assumed that the network system model consists of a UAV, a UAV charging point and multiple user equipments with different distances; further determine the number of user equipment, the location of the user equipment, and the maximum flight of the UAV Speed, UAV flying height and transmission channel, determine the task time, and divide the task time into multiple time slots; also n...

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Abstract

The invention provides an optimization method of an unmanned aerial vehicle cooperative digital-energy integrated network. The optimization method comprises the steps of user region division, unmannedaerial vehicle hovering point solving, unmanned aerial vehicle flight path design and downlink throughput and harvesting energy optimization. According to the method, the conditions of the user battery capacity, the minimum throughput rate and the unmanned aerial vehicle flight limitation are considered, the method is closer to actual constraints, information and energy reception of the user arejointly optimized, and the energy harvested by the user equipment is also considered while the downlink throughput rate is increased.

Description

technical field [0001] The invention relates to a mobile communication method, in particular to an optimization method for a data-energy integrated network coordinated by drones. Background technique [0002] As communication scenarios become more and more complex, traditional fixed base stations will no longer be suitable for complex communication systems in various scenarios, and UAVs (Unmanned Aerial Vehicle, UAV) are small in size, low in power consumption, convenient and powerful The advantages of battlefield survivability have become the subject of a recent wave of research. The communication network system coordinated by drones also provides a good solution for communication scenarios that cannot be covered by base stations. [0003] Energy Harvesting (EH) technology has great development prospects because it can provide stable energy for energy-constrained networks such as wireless sensor networks and prolong the network life cycle. The energy source of energy harv...

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Application Information

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IPC IPC(8): H04W4/029H04W4/40H04W24/02
CPCH04W4/029H04W4/40H04W24/02Y02D30/70
Inventor 于秦张博
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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