Research On Resource Management For UAV-Assisted Maritime Communication Networks

China has rich marine resources and large-scale maritime activities,including fisheries,oil and gas resources development and maritime emergency search and rescue operations,which needs the support of communication networks.However,the existing maritime wireless communication technology can not fully satisfied the communication needs.UAVs have higher mobility and flexibility,and can obtain higher channel gain as well as wider communication coverage.Yet,in the use of UAV-assisted maritime communication scenarios,the resource management of UAVs needs to be studied due to the problems of communication resources as well as the limited energy of UAVs.The main work of this paper is as follows:First,a joint optimization method is proposed for UAV caching strategy,power allocation and UAV trajectory.In the scenario of UAV base station-assisted maritime communication,in order to reduce the dependence on the backhaul link,a cache-capable UAV is used as an aerial base station,which can pre-cache some of the files required by the users to improve the system throughput.The original problem is transformed into three sub-problems by decomposing the coupled variables using the block coordinate descent method,after which the original problem is solved using successive convex optimization techniques,and finally the suboptimal solution of the original problem is obtained by alternating iterations.Simulation results show that the proposed method can significantly improve the desired achievable throughput of the system compared with existing methods.Second,an optimization method is proposed for joint UAV resource allocation as well as trajectory optimization.For the UAV relay-assisted maritime wireless communication network,the objective is to maximize the minimum communication rate for all users,while ensure fairness,under the constraints of UAV energy constraints,UAV mobility-related constraints,and information causality constraints.The optimal resource allocation problem is solved by a given UAV trajectory,and the optimal UAV trajectory is solved by a given resource allocation scheme,and based on this,an iterative algorithm for joint optimization of resource allocation and UAV trajectory is proposed.The simulation results show that the proposed method’s can obtain better performances in terms of communication rate as well as energy consumption,and the overall energy efficiency is better than the existing methods.