Volume 13 | Issue 2
Volume 13 | Issue 2
Volume 13 | Issue 2
Volume 13 | Issue 1
Volume 13 | Issue 1
Aiming at large-scale multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) downlink mobile communication systems, a resource allocation algorithm based on the best energy efficiency is proposed. In the case of zero-forcing (ZF) precoding, the proposed algorithm is based on maximizing the lower bound of system energy efficiency, while considering the minimum rate requirements of each user, and optimizes by adjusting bandwidth allocation, power allocation and base station antenna number allocation Energy efficiency function. First, an iterative algorithm is proposed to determine the bandwidth allocation of each user according to the optimization conditions, and then the nature of the fractional planning is used and the convex optimization method is used to optimize the energy efficiency function by jointly adjusting the number of transmitting antennas at the base station and the transmitting power of the user. The simulation results show that the proposed algorithm can achieve better system energy efficiency performance and throughput performance while reducing the number of iterations.