The Research Of Resource Allocation Based On Efficiency Efficiency In NOMA System

The current mobile communication system is facing a series of challenges when dealing with the explosive development of the Internet and the Internet of Things in the future,such as excessive energy consumption and scarce spectrum resources.At the same time,the existing mobile communication system is difficult to efficiently cope with the rapid growth of future business traffic,access to massive equipment,and diversified and personalized performance requirements.Facing the current problems,both the academic industry and the industry are in urgent need of finding new breakthroughs.The non-orthogonal multiple access technology is proposed to meet the needs of future communications development to a certain extent,and can achieve large-scale user and device access and higher spectrum efficiency and energy efficiency.The thesis studies the resource allocation of non-orthogonal multiple access system from the perspective of energy efficiency,and propose a new scheme with the goal of maximizing the energy efficiency of the system,so as to realize green energy-saving communication.The main research contents are as follows:1.Aiming at the resource allocation problem of non-orthogonal multiple access system,an improved user grouping and power allocation scheme is proposed with the goal of maximizing energy efficiency.Firstly,a user grouping algorithm is proposed based on user channel gain and greedy matching method,which reduces the complexity while ensuring the channel difference between users;then the grouped users are allocated power,and the power allocation problem is based on the idea of stepwise optimization It is divided into two sub-problems of power distribution between sub-channels and power distribution within sub-channels,which are solved using linear water injection algorithm and iterative power distribution algorithm respectively.Simulation results show that the proposed scheme can effectively improve the system energy efficiency.2.Aiming at the power distribution problem of mm Wave-NOMA system,a power allocation scheme based on improved firefly optimization algorithm is proposed with the goal of maximizing energy efficiency.The scheme improves the algorithm by introducing a random adjustment inertia weight mechanism and an adaptive step size mechanism,thereby improving the algorithm's solution accuracy and achieving a balance between global search and local search.And by continuously adjusting the brightness and decision range of fireflies,moving to the best position of the population,and searching for the target optimal value after many iterations,so as to solve the problem of user power allocation.Simulation results show that the scheme effectively improves the energy efficiency of mm Wave-NOMA system.