Unmanned aerial vehicle multi-dimensional resource management method with high energy efficiency

Abstract

The invention discloses an unmanned aerial vehicle multi-dimensional resource management method with high energy efficiency and belongs to the technical field of wireless communication. The method specifically comprises the following steps: determining a user type; selecting an unmanned aerial vehicle or a ground base station to serve an edge or center user according to the user type; because of the high propulsion energy consumption of the unmanned aerial vehicle, establishing an optimized energy efficiency model combining multi-dimensional resource management of the height, speed, track radius and transmitting power of the unmanned aerial vehicle; decomposing a model objective function which is a non-convex function into four sub-problems , and separately solving the four sub-problems; for solving the power, using a Dinkelbach algorithm to convert a fractional optimization problem into a subtractive optimization problem, and then using a Lagrange method and a subgradient method for solving an optimization variable; solving other optimization variables by utilizing a relationship between a function derivative and an extreme value; repeating the above steps, determining whether theobjective function is converged or not, if so, stopping iteration, and if not, repeating the above steps. On the premise of ensuring the communication quality of the user, the system energy efficiency of the unmanned aerial vehicle network auxiliary edge user is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a multi-dimensional resource management method of an unmanned aerial vehicle with high energy efficiency. Background technique [0002] UAVs are widely used in military and civilian applications, such as agricultural spraying, image transmission, express transportation and military operations. Due to the flexible mobility and certain height of UAVs, UAVs also play an important role in the field of communication. play an increasingly important role. [0003] At present, there are three scenarios for UAV-assisted communication networks, UAV-assisted relay, UAV-assisted information dissemination and data collection, and UAV providing communication coverage, but UAVs need to be powered by batteries, and the energy is very limited; in addition, In recent years, the problem of the greenhouse effect has become increasingly serious, and energy conservation and...

AI Technical Summary

Problems solved by technology

The implementation steps of the method are: Step 1 is to establish the UAV track, transmission power and user scheduling relationship; Step 2 is to establish the objective function as the maximum security energy efficiency of the system; Step 3 is that the optimization problem is a non-convex and mixed integer fraction, The original problem is decomposed into three sub-problems to solve. The disadvantage of this method is that the high optimization of the UAV is not considered when building the model, and the channel model used is not in line with the actual environment communication of the UAV.

The implementation steps of the method are: Step 1 is to use the heuristic method to obtain the proportional weight of the UAV base station and the air base station based on the SINR level; Step 2 is to establish the objective function as system energy consumption, with speed and power as constraints; Step 3 The solution obtained in step 2 is the optimal solution for base station transmission power. The disadvantage of this method is that the model establishment does not consider the power upper limit constraint, nor does it consider the optimization of UAV height, speed, and track radius

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