REVIEW OF THE ACCESS NETWORK SELECTION ALGORITHMS ON WI-FI OFFLOADING IN LTE NETWORKS
Abstract
Currently, global mobile data traffic is booming and shows no sign of slowing down as increasing speed will impact more use of mobile data in the future. The consideration of these speed rates is the growing use of very large amounts of data traffic this is a major obstacle facing service telephone mobile providers to meet the growing demand. The problem of data explosion on the mobile phone network can be solved by Wi-Fi offloading. This study compares the access network selection algorithm of the Wi-Fi offloading process on an LTE network. The findings that we get in this review are network selection factors and handover strategies on Wi-Fi and LTE networks. The use of the hybrid ANDSF model is the method of choice in the latest research. The use of machine learning and computing is the most suitable adaptive choice for network selection in the future.
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