Research On Noma-assisted Green Communication Scheme In UAV Emergency Communication Scenario

Emergency communication refers to communication during an emergency.Now,with the improvement of intelligence and the support of 5G technology,emergency communication technology is playing an increasingly important role.Especially,the emergency communication technology of UAV intelligent networking plays a core role in dealing with emergency incidents at present.However,in the development process of UAVs relay-assisted communication technology,the energy consumption of the user will have a serious impact on the sustainable execution of communication perception computing tasks,leading to the increasing energy consumption of the system.Therefore,it is necessary to continuously strengthen the emphasis on energy efficiency,so as to better serve the communication needs in emergency situations.Therefore,it is very important to take energy efficiency as a performance index of communication system.Due to the limited computing and storage resources on UAVs,it is of great significance to study how to efficiently and energy-saving offload tasks onto UAVs and allocate reasonable computing resources to users.In order to solve the problems of task offloading and resource efficient cooperative allocation of UAV-assisted NOMA-MEC green communication system,this paper takes user energy consumption and system energy efficiency as targets under the constraint of satisfying user service quality,and designs and studies two realistic scenarios of UAV-assisted emergency communication.The main research contents are as follows.(1)In the emergency communication scenario combining mobile edge computing(MEC)and non-orthogonal multiple access(NOMA)technology,an UAV assisted NOMA-MEC emergency communication network is constructed to minimize the total energy consumption of users,aiming at the problem that users’ own battery power is limited and cannot meet their business needs.A low-complexity joint task offloading ratio and transmission power allocation iterative algorithm(JTORATPAIA)is designed.Simulation results show that compared with other benchmark schemes,this scheme can reduce the energy consumption of all users more effectively.It can be seen that the scheme is very suitable for improving the energy consumption of users in emergency communication scenarios.(2)In view of the low energy efficiency of the system faced by vehicle users during task offloading,considering the advantages of UAV in task offloading of vehicle users,reliable communication services can be better provided for vehicle users who cannot access base station signals by combining with the internet of vehicles.In order to improve the energy efficiency of the whole system,an UAV-assisted relay vehicle task offloading scheme based on non-orthogonal multiple access technology is designed in this paper.The energy efficiency of the whole system is improved by jointly optimizing the UAV altitude and the vehicle task offloading power.In this scheme,fractional programming and Lagrange dual decomposition theory are used to derive the closed form of partial solutions,and the iterative algorithm based on Dinkelbach is used to solve the resource allocation problem.Simulation results show that compared with other offloading schemes,the scheme proposed in this paper can significantly improve the system computing energy efficiency.