Paper Details

Cellular communication is a technology in which information is carried from one end to other end through mobilephones. In cellular communication system, the mobile users do not stay at a one place i.e. they move from one place toanother. To maintain the Quality of service (QoS) at optimum level in cellular mobile network, handoff control mechanismplays a vital role. Handoff is generally used to transfer a call from one base station to another. There are various proposedtechniques for handoff management which includes Neural Networks, Fuzzy Logics etc. In this thesis, a highly efficienthandoff control technique based on neural network is proposed the neural network takes a decision on handoff on the basisof signal strength, distance and traffic intensity the results are analyzed and found to be optimum. After finding the Handoffstatus, next step is to find the optimized path. The Neural Network generated various parameters as output namely Efficiencyof system, Handoff status, Distance between Nodes and Processing time of proposed system. Thus, Overall systemperformance is optimized and controlled by Neural Network techniques.

Kumar Gaurav Bachlas, Prabhjot Kaur, “Neural Network Based Handoff Controller for Signal in Cellular Mobile Network”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 9, pp. 65-70, September 2014.