A multi-agent approach for dynamic channel allocation

We propose a multi-agent approach for dynamic channel allocation (MA-DCA) in mobile cellular networks. Our approach assumes that each cell in a cellular network works as an agent that negotiates its bandwidth (channel) requirements with its neighbors to minimize its call drop probability. Using stochastic simulation, we compare our MA-DCA approach with simple fixed channel allocation (FCA) and dynamic channel borrowing approaches for different call arrival rates, cellular network sizes and number of available channels. The results of our experiments show that the proposed MA-DCA approach performs better than dynamic channel borrowing and FCA approaches.