Research On Intelligent And Efficient Transmission Technology Within Unmanned Aerial Vehicle Ad-hoc Network Cluster

In the current era of digitalization and intellectualization,UAV has witnessed unprecedented development in military,environmental protection,logistics and other fields.With the expansion of application fields and task scenarios,UAV shows a trend of clustering and networking.Initially,UAV ad hoc network was established with time Division Multiple Access(TDMA)technology,but this could accommodate a limited number of UAV nodes.Orthogonal frequency division multiple Access(OFDMA)improves the node capacity of UAV ad hoc network greatly for higher frequency spectrum utilization.However,when multiple nodes send and receive at the same time,serious inter-channel interference(ICI)may be caused at the some receiving ends,affecting the throughput rate and the overall delay.In order to solve the ICI problem,this paper carries out the following research.To solve the problem that MAC layer scheduling algorithms do not consider ICI of the receiving node,the CP aligned cooperatively scheduling algorithm is proposed in this paper.By adjusting the timing of sending a task,the task with long distance can be sent in advance,so that the time gap among the subcarriers’ receiving time at the receiving node is less than the CP length.This algorithm enables the tasks,which could not share the same time resource,to be sent at the same time without any ICI at the receiving nodes.This algorithm improves the scheduling efficiency of the MAC layer and reduces the scheduling waiting time.Then,this paper designs the UAV ad hoc network architecture with the separation of control plane and data plane and builds a software simulation platform based on Monte Carlo method.The experimental results show that the algorithm proposed in this paper is an algorithm that considers both efficiency and fairness.Compared with other scheduling strategies,the algorithm shows performance advantages in terms of delay and throughput in the two scenarios with infinite traffic and finite traffic.In large-scale ad hoc networks,the distance between transmitting and receiving points is usually very far,so that the performance of the proposed scheduling algorithm is restricted by the CP length.This paper reconstructs the time-domain structure to solve the mentioned problem.By increasing the length and proportion of CP,UAV nodes in a wider range of ad hoc network clusters can still transmit at the same time without ICI.In this paper,four formats of CP are specified with constant subcarrier spacing.The cluster head adopts collective intelligence algorithm,so that the UAV ad hoc network can intelligently adapt to large-scale and small-scale networks.Then,this paper compares the latency and throughput of four different formats of CP in the scenario of large-scale and high-density UAV network,which shows that different formats of CP have different support for different sizes of environments and adapt to different sizes of environments.