Neural Network Based Handoff Controller for Signal in Cellular Mobile Network
Keywords:
Quality of Service, Neural Network, Received Signal Strength, Handoff, Traffic Intensity etc.Abstract
Cellular communication is a technology in which information is carried from one end to other end through mobile
phones. In cellular communication system, the mobile users do not stay at a one place i.e. they move from one place to
another. To maintain the Quality of service (QoS) at optimum level in cellular mobile network, handoff control mechanism
plays a vital role. Handoff is generally used to transfer a call from one base station to another. There are various proposed
techniques for handoff management which includes Neural Networks, Fuzzy Logics etc. In this thesis, a highly efficient
handoff control technique based on neural network is proposed the neural network takes a decision on handoff on the basis
of signal strength, distance and traffic intensity the results are analyzed and found to be optimum. After finding the Handoff
status, next step is to find the optimized path. The Neural Network generated various parameters as output namely Efficiency
of system, Handoff status, Distance between Nodes and Processing time of proposed system. Thus, Overall system
performance is optimized and controlled by Neural Network techniques.
