Multiuser iterative precoding algorithm based on the matching weighted signal-to-leakage-and-noise ratio

A multiuser iterative precoding algorithm is proposed to reduce the multiuser interference in multiple antenna cellular communication systems. The proposed algorithm is based on the matching weighted signal-to-leakage-and-noise ratio. In the proposed algorithm, the effective channel gain of each user is selected as the matching weighted factor, and the leakage power received by each user is weighted by the factor. An exact closed form solution for the precoding vector is obtained by maximizing the matching weighted signal-to-leakage-and-noise ratio, and then optimized by using an iterative optimization approach. Simulation results show that the proposed iterative algorithm based on the matching weighted signal-to-leakage-and-noise ratio can improve the sum capacity of the system, and retain low computational complexity.