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Unmanned aerial vehicle network resource allocation method based on an improved longicorn stigma search algorithm

A resource allocation and search algorithm technology, applied in the field of UAV communication, can solve problems such as complex resource allocation and mutual interference, and achieve the effects of easy implementation, superior performance, and improved system throughput

Active Publication Date: 2019-05-14
HOHAI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In a UAV communication system, when a UAV pair shares the same spectrum resources with other UAV pairs, it will cause mutual interference
The existence of interference makes resource allocation more complicated

Method used

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  • Unmanned aerial vehicle network resource allocation method based on an improved longicorn stigma search algorithm
  • Unmanned aerial vehicle network resource allocation method based on an improved longicorn stigma search algorithm
  • Unmanned aerial vehicle network resource allocation method based on an improved longicorn stigma search algorithm

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0044] The selection of the scene directly affects the performance of the resource allocation method. The following will analyze the setting of the scene and the setting of parameters in detail.

[0045] 1. Classification and quantity of drones

[0046] In the UAV communication system, UAVs exist in pairs, and a pair of UAVs includes a transmitting signal unmanned aerial vehicle (TUAV) and a receiving signal unmanned aerial vehicle (RUAV). N pairs of UAV user pairs shar...

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Abstract

The invention discloses an unmanned aerial vehicle (UAV) network resource allocation method based on an improved longicorn beetle antennae search algorithm, a terminal of an unmanned aerial vehicle communication system is composed of a UAV pair (UAV), the method comprises the following steps: (1) initializing system parameters including a signal to interference plus noise ratio threshold value, power of a UAV transmitting terminal and other parameters; (2) representing a scheme of sharing channel resources by a user by using a position vector, and randomly generating an initial solution conforming to a constraint condition as a current position; (3) respectively corresponding positions of the left and right whiskers of the longhorn beetle at the current position are obtained; (4) solving the throughput of the current position of the system and the corresponding positions of the left and right sides in the UAV communication system, and updating the longhorn beetle position by taking a system throughput performance optimization index as an objective function; And (5) repeating the above steps until iteration is stopped, and carrying out reverse decoding on the coding space to obtainan optimal resource allocation scheme. The system throughput can be effectively improved, and the method is excellent in performance and easy to implement.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle communication, in particular to a method for allocating resources of an unmanned aerial vehicle cooperative communication network based on an improved beetle beetle search algorithm. Background technique [0002] Unmanned Aerial Vehicle (UVA) is an aircraft operated by radio remote control equipment and automatic program control device. In recent years, with the promotion of drone projects, drones have been introduced into many applications in the world. Therefore, the scarcity of radio spectrum in UAV communication prompts us to consider improving spectrum resources. Bluetooth, WIFI and other communication modes need to go through complex manual pairing, and work in unlicensed spectrum, so the security of information transmission is insufficient. This problem can be overcome by using direct communication between UAVs, thus improving spectrum utilization. [0003] After decades of develop...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W72/04H04B17/382H04B17/391
Inventor 李旭杰周灵婕孙颖陈刚李浩天邓富明李建霓
Owner HOHAI UNIV
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