Time delay and energy consumption compromise model in extended unmanned aerial vehicle network and hierarchical learning algorithm

A technology for drones and machine networks, applied in the direction of reducing energy consumption, network traffic/resource management, wireless communication, etc. Delay performance and resource consumption limit UAV network development and other issues

Pending Publication Date: 2020-08-04
ARMY ENG UNIV OF PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the expansion of UAV network scale, the delay performance and resource consumption of UAV network transmission have become the core issues restricting the development of UAV network.
[0003] Existing research mostly

Method used

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  • Time delay and energy consumption compromise model in extended unmanned aerial vehicle network and hierarchical learning algorithm
  • Time delay and energy consumption compromise model in extended unmanned aerial vehicle network and hierarchical learning algorithm
  • Time delay and energy consumption compromise model in extended unmanned aerial vehicle network and hierarchical learning algorithm

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Embodiment 1

[0114] The first embodiment of the present invention is specifically described as follows, the UAV network system simulation adopts Matlab software, and the parameter setting does not affect the generality. This example verifies the validity and convergence of the proposed model and method, Figure 4 and Figure 5 To verify the convergence of the method, Figure 6 ~ Figure 8 The effectiveness of the method is verified. The scenario is that two extended UAVs are deployed at a distance of 100m to 1000m from the relay UAV. The power strategy set that each extended UAV can choose is [0.5, 1.5, 2.2, 3, 5] W, and the relay UAV is unmanned. The machine can select the bandwidth strategy set as [11,13,15,17,19]MHz, and the noise variance is 9*10 -13 W, the carrier frequency is 2GHz, the amount of information to be transmitted by the expanded UAV is 5-8Mbit, the distance from the relay UAV to the cluster head is 800m, and the fading coefficient η of the visual distance communication...

Embodiment 2

[0116] Second embodiment of the present invention is specifically described as follows, and system simulation adopts Matlab software, and parameter setting does not affect generality. This example verifies the effectiveness and convergence of the proposed model and method, Figure 4 and Figure 5 To verify the convergence of the method, Figure 6 ~ Figure 8 The effectiveness of the method was verified. The scenario is that 3 to 9 extended UAVs are deployed at a distance of 100m to 1000m from the relay UAV. The UAV can select the bandwidth strategy set as [11,13,15,17,19]MHz, and the noise variance is 9*10 -13 W, the carrier frequency is 2GHz, the distance from the relay UAV to the cluster head is 800m, and the fading coefficient of the line-of-sight communication between UAVs is η LoS = 5dB. Under this parameter, consider the system delay performance and energy obtained by the hierarchical learning algorithm and the random algorithm respectively when the transmission info...

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Abstract

The invention discloses a time delay and energy consumption compromise model in an extended unmanned aerial vehicle network and a hierarchical learning algorithm. The time delay and energy consumptioncompromise model is characterized in that: an unmanned aerial vehicle network is divided into clusters, and each cluster comprises a large unmanned aerial vehicle serving as a cluster head, a relay unmanned aerial vehicle and a small unmanned aerial vehicle group serving as an extended unmanned aerial vehicle group; the relay unmanned aerial vehicles form a core network, the extended unmanned aerial vehicles form an extended network, idle unmanned aerial vehicles serve as the relay unmanned aerial vehicles, the relay unmanned aerial vehicles are used for assisting the extended unmanned aerialvehicles in transmitting information to the cluster heads, and the relay unmanned aerial vehicles are further used for adjusting a bandwidth strategy of an unmanned aerial vehicle network system to improve the bandwidth utilization rate and realizing compromise between time delay and energy consumption of unmanned aerial vehicle network communication according to a coupling relationship between power and bandwidth resources of unmanned aerial vehicle network communication. In combination with other structures or methods, the defect that the time delay and throughput performance and the resource utilization rate are not considered at the same time when the system delay problem of the unmanned aerial vehicle networks is optimized in the prior art is effectively avoided.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a compromise model of time delay and energy consumption in an extended unmanned aerial vehicle network and a layered learning algorithm. Background technique [0002] Unmanned aircraft, referred to as "unmanned aerial vehicle", or "UAV" in English, is an unmanned aircraft operated by radio remote control equipment and self-contained program control device, or completely or intermittently operated autonomously by an on-board computer. With the maturity and improvement of UAV technology, UAV network communication technology is widely used in military and civil fields. In order to meet the needs of the mission, the UAV network is developing on a large scale, and the idle UAV in the core network acts as a relay to expand the communication coverage of the cluster head. However, with the expansion of UAV network scale, the delay performance and resource consumption of U...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W24/06H04W28/20H04W40/22H04W40/32
CPCH04W40/22H04W40/32H04W24/02H04W24/06H04W28/20Y02D30/70
Inventor 宋绯陈瑾徐煜华杨婷婷蔡源宋轩张潇
Owner ARMY ENG UNIV OF PLA
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