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PAPER ID:IJIM/V.2(II)/157-164/24
AUTHOR: Jyoti Anand, Saranjeet Singh and Tarun Sharma
TITLE : COMBINED NEURO-FUZZY VERTICAL HANDOVER DECISION CRITERIA FOR LTE/LTE-A NETWORKS
Abstract : Vertical handover advantage giant importance due to the upgrades in mobility models by way of the Fourth generation (4G) technology. A handover selection scheme in LTE networks both primarily based on unmarried or multiple standards. The range of standards is directly depending on the whole handover time. Similarly, the time required for deciding on a target network for the duration of handover is likewise elevated with the increase in some of parameters. Traditional handover choice procedures are specifically based totally at the single parameter. However, with the introduction of heterogeneous Wi-Fi networks, the performance of those single parameter choice schemes is distinctly decreased. Therefore, researchers introduce multi-standards handover selection schemes. The complexity and processing of multi-standards during handover is a complex activity and hence these schemes require excessive handover time which ultimately leads to the excessive packet loss or even breaking of connection. Moreover these improvements are confined to precise situations and for this reason do not offer help for conventional mobility. Similarly, various schemes are proposed based on these mobility fashions however most of them are suffered from the excessive packet loss, common handovers, too early and late handovers, beside the point community choice, and many others. To deal with these demanding situations, a normal vertical handover control scheme for heterogeneous Wi-Fi networks is proposed is needed.
Keywords : Neuro-Fuzzy, LTE/LTE-A Networks, Handover.
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