Resource management in cellular communication using particle swarm optimization

Power and Bandwidth are scarce resources in cellular communication. The limited radio spectrum is becoming scarcer with an increasing growth in cellular users and the new services offered by the advancement in cellular communication. Optimum utilization of limited bandwidth; in cellular communication is an important research topic, in which the main challenge lies in allocating a channel to the new caller in the system. Channel allocation problem is known to be NP hard. Various channel allocation schemes are available, out of which Dynamic Channel Allocation using Particle Swarm Optimization technique is implemented in this paper. The velocity update function is modified by introducing dynamically varying inertia and its effects are studied. This efficient allocation scheme will help in improving the efficiency of the system, by allocating the channels to the newly arrived call at a faster rate. The simulation is performed on well known bench mark problem. The results of which show that, we obtain the optimum solution at a faster rate and low values of call rejected ratio.