HETNET neighbour handover cell list optimization based on cognitive programmed threshold response

Abstract

The growth of mobile broadband has unleashed the necessity of advance mobile network structure. Heterogeneous Network (HetNet) technology is designed to be highly adaptable in subscribers' homes to provide high data rate communications with good quality of service. Femtocells are the indoor nodes of HetNet. Efficient handover of calls is the priority for successful femtocell/macrocell joint transmission. Handoff of femtocell-to-femtocell handover is the most visible challenge for dense deployment of nodes. This particular handover needs minimum as well appropriate neighbouring cell list which is needed for its successful operation. In this paper, we proposed an algorithm for dense femtocells deployment, i.e., an algorithm to create an optimized neighbour cell list with minimum number of femtocells (including the reduction of interfering femtocells and finding hidden ones). An appropriate and optimal neighbour femtocell list is mandatory for the much needed dense femtocellular network deployment in the near future. Therefore, reducing the size of the neighbour femtocell and making the list more efficient results in minimizing the amount of scanning and signal flow of mobile station during handover.