Abstract: Aiming at the optimization of energy efficiency in 5G communication,the maximization of energy efficiency resource allocation in large-scale MIMO-OFDMA system among downlink users is analyzed.Secondly,an energy efficiency maximization resource allocation algorithm based on the minimum rate requirement is proposed.After the bandwidth is reasonably allocated,the power and the number of antennas are allocated to improve the optimal energy efficiency of the system.Finally,based on the Lagrange function,the optimal energy efficiency objective function is converted into a convex optimization problem to solve the optimal solution.In the experimental phase,a typical wireless communication network is taken as an example to analyze.The results show that the proposed algorithm has the best comprehensive performance in terms of energy efficiency,throughput,and the optimal number of base station antennas compared with NSGA-Ⅱ and FP-based resource allocation algorithms.The proposed model provides a reference for the study of the optimal resource scheduling scheme of 5G communication system.

Key words: 5G, Wireless communication network, Energy efficiency optimization, Resource allocation, Optimization model, Lagrange function