Neural Network in Intelligent Handoff for QoS in HAP and Terrestrial Systems

Recently, artificial neural networks have been utilized to improve handoff algorithms due to its ability to handle large data in fast processing. ANN helps in taking the handoff decision based on RSS, speed, traffic intensity, and directivity. RBF network is used for making a handoff decision to the chosen neighbor BS. Efficient handoff algorithm enhances the capacity and QoS of cellular systems. Handoff algorithm used in wireless cellular systems to decide when and to which BS to handoff in order that the services can be continued uninterrupted. HAPs considered as a complementary base station to mobiles in an obstacle position and the capacity of system is more efficient with the goodness of HAPs. As a revolutionary wireless system, HAPS can supply services for uncovered area improving total capacity of service-limited area by a terrestrial BS. This paper presents novel approaches for the design of high performance handoff algorithm that exploit attractive features. This paper proposes to combine HAP and terrestrial system in same coverage area. The tools of artificial intelligent utilized in this paper and simulations have done by using artificial neural network. The algorithms on artificial neural network are discussed in this paper.