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
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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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