Unmanned aerial vehicle spectrum resource allocation method based on block coordinate descent

A technology of block coordinate descent and resource allocation, which is applied in the field of UAV spectrum resource allocation based on block coordinate descent, which can solve the shortage of spectrum resources, the limited time-frequency resource allocation of UAV spectrum resources that has not been studied, and the intensification of available resources. Mutual interference and other issues

Active Publication Date: 2018-06-08
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, due to challenges such as the exponential growth of UAV wireless service demand and the shortage of spectrum resources, UAV communication is facing a severe test
At the same time, the collaborative operation of multiple UAVs also brings many challenges that need to be considered
Among them, a key technical challenge is that the security and stability of UAV communication requires a certain robustness of the control signal itself, and the quality of the control signal is very sensitive to channel ch

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  • Unmanned aerial vehicle spectrum resource allocation method based on block coordinate descent
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  • Unmanned aerial vehicle spectrum resource allocation method based on block coordinate descent

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[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0048] Unless otherwise specifically and clearly described in the context, the number of elements and components in the present invention may exist in a single form or in multiple forms, and the present invention does not limit this. Although the steps in the present invention are arranged with labels, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a step requires other steps as a basis, the relative order of the steps can be adjusted. It is understood that the term "and / or" as used herein refers to and encompasses any and ...

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Abstract

The invention provides an unmanned aerial vehicle spectrum resource allocation method based on block coordinate descent. The method comprises the following steps of determining the number of unmannedaerial vehicles, setting a system licensed channel set and setting the system maximum power upper limit and other environment parameters; establishing a spectrum allocation matrix and an adjacent channel interference matrix, importing an original problem, and simplifying an original complex max-min mixed planning problem through utilization of problem structure features; providing a low complexityiterative algorithm based on the block coordinate descent, thereby solving the problem; and carrying out power and channel allocation on the unmanned aerial vehicles by a ground control station according to the maximum SINR value of each unmanned aerial vehicle through utilization of remote control channels, thereby finishing designing the unmanned aerial vehicle time-frequency resource allocation method. The method has the beneficial effects that according to the unmanned aerial vehicle spectrum resource allocation method based on the block coordinate descent, on the premise of improving thereliability of receiving control signals by each unmanned aerial vehicle and ensuring the system maximum consumption power constraint, limited spectrum resources are reasonably allocated.

Description

Technical field [0001] The present invention belongs to the field of UAV communication technology, and specifically is a UAV spectrum resource allocation method based on block coordinate drop. Background technique [0002] With the improvement of sensing technology and computing power, drones have gradually become a popular choice in applications such as urban search, military reconnaissance, and agricultural supervision. However, due to challenges such as exponential growth in demand for UAV wireless services and tight spectrum resources, UAV communication is facing severe challenges. At the same time, the collaborative operation of multiple drones also brings many challenges to be considered. Among them, a key technical challenge is that the safety and stability of UAV communication requires the control signal itself to have a certain degree of robustness, and the quality of the control signal is very sensitive to channel changes and interference; another challenge is, The av...

Claims

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Application Information

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IPC IPC(8): H04W16/10H04W72/04H04B17/382
CPCH04B17/382H04W16/10H04W72/0453H04W72/0473Y02D30/70
Inventor 史清江陈志勇吴启晖胡田钰
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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