Research On Relay Communication Scheme Of UAV Based On NOMA

In recent years,as the information age develops,people are no more satisfied with the current mobile communication technology and have put forward higher requirements for the next generation.The substantial rise of the mobile internet industry is also driving the deployment of fifth-generation mobile communication system(5G)applications.Under the background of digitalization and intellectuals,information technology is changing day by day.The use of new technologies such as blockchain,cloud computing,big data,and edge computing is also deepening,laying the foundation for the 5G industry and providing technological support for its implementation.The large-scale access of various Internet of Things devices to wireless networks inevitably leads to a shortage of spectrum resources.The massive data processing generated by them also requires more powerful computational support.Non-Orthogonal Multiple Access(NOMA)technologies and Mobile Edge Computing(MEC)have become vital technologies evolving to B5G/6G,playing a role in spectrum efficiency and computing resource allocation.Non-orthogonal multiple access techniques achieve large-scale access by sharing the same resource block to improve the utilization efficiency of spectrum resources.Mobile edge computing provides computing services for users by deploying at the edge user side.To cope with high-density hot spots and emergencies,unmanned aerial vehicle(UAV)communication with good mobility is considered.Therefore,this paper proposes research on UAV relay communication schemes based on non-orthogonal multiple access technology,making full use of UAV performance,invoking the resources of the primary server node and relay server node,providing timely communication support and computing resource allocation management for edge users.The main findings of the study are summarized below:1.In order to address the problem of power allocation caused by the longtime and long-distance guarantee of multi-user service quality and energy shortage at the edge of the UAV relay system,introduction of the SWIPT(Simultaneous Wireless Information and Power Transfer)technology to build a dynamic model of the UAV relay system based on the SWIPT-NOMA technology.The maximum total rate of multi-user in the two-hop downlink on the Rayleigh fading channel is studied to ensure the user service quality of the user cluster.The optimal relay selection algorithm is adopted,and a problem of finding the global optimal power allocation is solved.Through the analysis of different UAV relay deployment and multi-user distance distribution,the numerical results show that the maximum total rate of the multi-user cluster is affected by the number of users in the group and the distance distribution with the UAV relay,and the maximum total rate performance of the overall user is better than the traditional scheme.2.Aiming at the problem of user channel matching and collaborative resource scheduling starting from the entire system,a MEC-NOMA-based channel matching and resource allocation scheme for unmanned aerial vehicle relay networks is proposed.This scheme can effectively utilize unmanned aerial vehicle relays to flexibly carry MEC servers to provide computing resources for the edge,multiple users,avoid network congestion caused by dense computing,and use NOMA technology to reasonably allocate resources spectrum resources to ensure the quality of service for each user.The user channel matching and resource allocation schemes for UAV relay nodes are mainly studied from the perspective of MEC-NOMA integration.Consider using drones as relay nodes to serve edge users in cellular networks,ensuring communication quality and computing offload services for edge users.As a critical intermediate switching node,the unmanned aerial vehicle system performs communication channel pairing and resource allocation based on overall system performance considerations.Because of the difference in the geographical location of the edge users and the difference in the wireless link’s line of sight propagation,the system’s channel matching scheme is studied.The utility function is used to update the channel matching between users for resource allocation,guide users to perform local calculations or partially offload tasks to drone relay nodes or base stations,and design an iterative resource allocation algorithm based on dichotomy to solve the target variables.Then,considering the critical issue of matching between users and channels,a mutual exchange matching algorithm model based on a greedy algorithm is proposed,in which users are selected for pairing and combination,and a reasonable allocation scheme for channel resources is established.Simulation experiment analysis shows that the solution proposed in this article is superior to other processing schemes in terms of performance,significantly improving system energy efficiency while achieving optimal channel selection matching and resource allocation,and can minimize network congestion issues in edge or local hot spots,ensure the overall quality of user service,and improve system performance.