Abstract
The cognitive cellular network (CCN) is the key to complete the requirement of the cellular user request along with the improvement in channel allocation. CCN consists of cellular as a primary and cognitive as secondary user in which the cognitive user occupies the cellular band without causing interference. In order to reduce interference between spectrum allocation for primary user and secondary users, the bacterial colony optimization (BCO) algorithm is considered. The BCO algorithm is developed from the life cycle of E. coli bacteria. The chemotactic step of BCO is related to secondary user, to be allocated in CCN. The ‘signal-to-interference ratio’ (SINR) obtained with proposed BCO is found to be better as compared to reported work with particle swarm optimization (PSO), artificial bee colony (ABC), and teaching–learning-based optimization (TLBO).
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