Multi-SUs interference avoidance spectrum handover algorithm using ant colony method in cognitive radio networks

Abstract

Spectrum handover (SHO) is an interesting challenge of cognitive radio networks (CRNs). SHO is initiated when current channel gets occupied by primary user (PU) and therefore secondary user (SU) transfers the task to unused channel in order to avoid application discontinuity. In this paper, we formulated a multiple SU spectrum handover scheme using ant colony optimization (ACO). We deploy a network model by graph coloring problem (GCP) and learn spectrum awareness by ant colony optimization (ACO) approach. Our scheme formulates a handover cost function that helps to take handover decision and performs fair channel assignment to maintain QoS requirements in CRN.