Research On Green Resource Allocation Of NOMA Network

With the explosive growth of the number of mobile smart devices,how to realize the access of a large number of users is the problem faced by the development of mobile communication.NonOrthogonal Multiple Access(NOMA)technology uses time and frequency domain multiplexing,which greatly improves the system capacity and spectrum efficiency.However,in the development of wireless communication technology,the energy consumption of the system continues to rise,so energy efficiency has become an important indicator to measure the performance of the communication system.This thesis studied the realization of green communication in NOMA downlink system.In order to maximize the energy efficiency of NOMA downlink,a power allocation algorithm based on artificial fish swarm optimization strategy is proposed in this thesis.Above all,through mathematical analysis,the relationship between the position of fish and the power distribution coefficient is established;secondly,in view of the poor performance of the traditional algorithm,the new algorithm optimizes the artificial fish model,which not only improved the energy efficiency,but also ensured the average throughput of the system and the fairness among users;finally,the validity of the optimization algorithm is verified by simulation.The algorithm has a stronger ability to jump out of the local optimal solution and achieves a good balance between energy efficiency and system fairness.This thesis studied the efficient allocation of resources in MIMO-NOMA downlink system.In order to ensure the users’ minimum data rate,the resource allocation problem is divided into two subproblems,including user clustering and power allocation.Above all,for the user clustering scheme,by analyzing the limitations of the classical clustering algorithm,a user clustering algorithm based on user data rate and channel difference threshold is designed,which includes a unilateral preference strategy and a user update strategy;secondly,for the joint power allocation scheme,under the premise of knowing the power of each user in the cluster,a power allocation algorithm between clusters based on the GSO algorithm is designed;finally,the simulation verifies that the proposed resource allocation algorithm achieves efficient use of energy.