Handoff Management Enhancement using Soft Computing Techniques

In 4G cellular system, due to the mobility, proper handoff or handover management is critical to ensure seamless migration from one cell to another cell. Besides of maintaining the connection quality during a handover process, any advanced handover algorithms which can minimize required resources for the connection are critical. When connections need to migrate between heterogeneous networks for performance and high-availability reasons, seamless vertical handoff (between different access technologies) is a necessary first step. In this paper, we try to simulate vertical handoff with a dynamic decision according to the Received Signal Strength (RSS); and we build a self-learning, self-optimization and self-organization to make the best decision by using Artificial Neural Network (ANN) and Fuzzy Junction Computation (FJC).