Low Complexity Precoding Matrix Selection Method for Long-Term Evolution Systems

Abstract

In a Long-Term Evolution system, a transmitter can appropriately transmit layered data streams via multiple antennas with the help of a precoding matrix. The precoding matrix can be selected using the feedback precoding matrix indicator information from the receiver. Different precoding matrixes will affect the system capacity and bit error rate performance dramatically. In this paper, we propose a low complexity precoding matrix selection method based on trace calculation of the MIMO channels’ eigenvalue. The method will have almost the same capacity as the maximum mutual information (MI) method, as well as the low computational complexity advantage. Simulation results show that the proposed method requires less than 20% calculations needed by the maximum MI method.