Particle swarm optimization aided sum rate maximization in multipoint to multipoint cooperative systems

In this paper, we study the problem of designing an optimal linear precoder for relay node to maximize the sum rate in multipoint to multipoint cooperative systems under the relay power constraint. We show the constraint optimization problem can be converted to the unconstraint one and then we employ Particle Swarm Optimization (PSO) to search the optimal precoding vector. It is verified from computer simulation results that the proposed scheme can obtain larger average sum rate than zero forcing (ZF) and Broyden-Fletcher-Goldfarb-Shanno Quasi-Newton (BFGS-QN) algorithm with moderate complexity.