Femtocell system optimization by genetic algorithm in clustered scenarios

A future network deployment is given by a cell with a base station (BS) and a second tier of femtocells: a femtocell is a short-range mini-BS to be mainly deployed indoor to improve coverage and bandwidth by forwarding traffic on an IP backhaul link. However, the mutual interference arising between femtocells and mobile equipments or BS can become a key-factor, especially for large deployments. This paper addresses the problem of maximizing the overall system capacity by optimizing all transmission parameters adopting a genetic optimization approach that can be implemented either as a distributed or a centralized algorithm. For wide deployments, scalability of the solution is achieved by adopting topology-clustering strategies, enabling parallelization and faster convergence. The effectiveness of the method has been tested in some cases of interest comparing the system performances with other methods for resources assignment.