Comparison of Upgrading Infrastructure Optimal in Next Generation Wireless Network using GA and ACO techniques

Dac-Nhuong Le

Abstract


A problem of upgrading to the Next Generation Wireless Network (NGWN) is backward compatibility with pre-existing networks. In this paper, we propose new Genetic Algorithm and Ant Colony Optimization Algorithm to optimal of upgrading infrastructure in NGWN. The NGWN topology has two levels in which mobile users are sources and both base stations and base station controllers are concentrators. My objective function is multi-object based on the sources to concentrators connectivity cost as well as the cost of the installation, connection, replacement, and capacity upgrade of infrastructure equipment. I evaluate the performance of my algorithms with data randomly generated. Numerical experiment results show that my algorithms is the best approach to solve this problem.

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