Bacterial foraging optimization supported utility based call admission control framework for 3 GPP LTE networks

In this paper, we present a new design of optimal utility based call admission control framework using Bacterial Foraging Optimization. With the aim of ensure the Quality of Service (QoS) and to reduce the performance degradation in call admission process the utility based scheduling call admission process is optimized. In the proposed algorithm, The foraging behavior of bacteria is considered as user call requests in the call admission process and the available resources is considered as gradients of the chemicals in the environment. Locomotion mechanisms of the bacteria in the environment are considered as the mobility of the nodes in the environment. The information processing strategy and the quality policies are defined as the perception of food and the motivation of move in the environment. The optimization can be achieved through the series of processes on the stimulated cells. The call admission decision and the rescheduling process are based the channel state of network. The utility function of each call request is evaluated based on the Received Signal Strength (RSS), throughput of the network and set of subscribers participated in the call admission process. Our simulation results shows the performance enhancement and optimization using the bacterial foraging optimization with parameters like throughput, fairness, and delay for real time and non real call request. The QoS parameters are evaluated and the proposed method shows reduction in call dropping probability and call acceptance rate is also increased. [Vijay Franklin, Paramasivam K. Bacterial foraging optimization supported utility based call admission control framework for 3GPP LTE networks. Life Sci J 2013;10(2):394-400]. (ISSN: 1097-8135). http://www.lifesciencesite.com. 60