Research On Resource Allocation Technology For Mm Wave System Based On Non-Orthogonal Multiple Access

With the coming of the “Green Communication”5G era,the diversity of data services in the future wireless communication will be more and more demanding,and will pursue higher energy efficiency.Non-orthogonal multiple access(Noma)is a new 5G technology supporting large-scale connection,which allows multiple users to share the same spectrum resource.Millimeter wave communication technology(mmWave),which is one of the key technologies of 5G,can enhance the beamforming gain by arranging a large number of antenna arrays.Therefore,this paper will combine these two technologies to study the user scheduling and power allocation algorithm for the downlink of millimeter wave communication system based on non-orthogonal multiple access,to improve the communication transmission rate and reduce the system energy consumption,in response to the Green Communication of the 5G era.The main research work is as follows:On the one hand,this paper addresses the spectral efficiency optimization problem of mmWave-NOMA systems,we take the weighting and rate maximization of the system as the goal for the first time,and jointly optimizes the user scheduling and power allocation of the downlink of the system.The communication rate of the user is randomly matched with a weight value which trade-off the relationship between rate performance and user fairness.At the same time,we consider that the user power allocation problem that affects the actual performance of the system is of non-deterministic polynomial time(NP-hard)type,this paper designs an effective heuristic joint user grouping and power ratio scheme(FPTA).Firstly,the problem is divided into two deterministic polynomial time sub-problems,and a single-beam user scheduling algorithm based on dynamic programming(SBUC)and a multi-beam power control algorithm(MKPC)based on the polynomial knapsack problem are respectively proposed to solve these two sub-problems.Finally combine the SBUC algorithm and the MKPC algorithm to joint optimize the user scheduling and power allocation of the mmWave-NOMA system.The simulation results show that the FPTA joint optimization algorithm proposed in this paper effectively improves the reachability and speed of the system.On the other hand,this paper addresses the energy efficiency optimization problem of mmWave-NOMA systems,we consider the influence of the error propagation factor in the decoding process of the serial cancellation interference(SIC)receiver on the energy efficiency of the millimeter wave non-orthogonal multiple access system,in terms of the user’s minimum quality of service requirements and total transmit power Under restricted conditions,modeling is aimed at maximizing system energy efficiency to solve the user scheduling and power allocation problems of the mmWave-NOMA system.Using the adaptive clustering characteristics of the nearest neighbor propagation clustering algorithm(AP)and the alternating direction multiplier algorithm(ADMM)is suitable for processing distributed problems and can converge quickly,decoupling the non-convex nonlinear programming problem into two In the convexity sub-problem,the AP algorithm and the ADMM algorithm are used in turn to solve the user scheduling and power allocation problems of the system,and the energy efficiency optimization of the mmWave-NOMA system downlink is realized.By comparing different schemes for maximizing energy efficiency of mmWave-NOMA system,simulation shows the effectiveness of the scheme proposed in this paper.