Binary flower pollination algorithm based user scheduling for multiuser MIMO systems

In this article, a multiuser (MU) multiinput multioutput (MIMO) system is considered, which essential to support huge number of subscribers without consuming extra bandwidth or power. Dirty paper coding (DPC) for MU MIMO channel achieves the peak sum-rate multiple antenna at cost high computational complexity. Both user and scheduling with population based meta-heuristic algorithm, i.e. binary flower pollination algorithm (binary FPA) has been demonstrated in article achieve comparable DPC very less complexity time Moreover, FPA shows significant improvement throughput/sum-rate performance as compared other algorithms like bat BA) genetic GA). Furthermore, proposed successfully higher random search scheme different existing suboptimal from literature well. The also better convergence rate searching ability than both BA GA techniques. percentage deviation achieved by quite that BA, GA, method, literature. efficiency all these fronts verified using exhaustive simulation studies.