Abstract: For the resource allocation and scheduling of downlink multi user multiple input multiple output (MU-MIMO) system, a multi-user proportional fair scheduling scheme based on genetic algorithms (GA) was proposed. By adding some good-gene individuals to the initial population and keeping its gene stable, the convergence of GA was greatly accelerated. Specifically,the base station exploited 131ock Diagonalization (BD) precoding technique to eliminate the inter-user interference. To guarantee the fairness while maintaining the throughput performance, a subset of users was selected to serve at one time slot Moreover, the impact of feedback error on the channel state information was analyzed. Simulation results show that both schemes can achieve a good tradeoff between fairness and throughput with low computational complexity compared with other scheduling schemes.

Key words: MIMO, Multiuser diversity, I31ock diagonalization, Proportional fairness, Genetic algorithm