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Mobility management, in particular, is essential to ensure a continuous connectivity to mobile user equipment (UE) while maintaining satisfactory quality of service (QoS).
In this paper, we will discuss about mobility management in network layer only.
Very few works [89] discuss mobility management in the context of cognitive radios.
Mobility management in the IP layer [1] is an essential component in wireless mobile networking.
We studied major research issues concerning mobility management in integrated femtocellular/macrocellular networks.
We also show that CoMP can enable improved mobility management in real networks.
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In this paper, we introduce a Handoff prediction and enhancement scheme (HOPES) that aims to explore the use of prediction techniques in mobility managements in order to improve the end-to-end traffic quality.
In this paper, we present an innovative approach to solving the mobility management problem in the context of professional private broadband networks in the vehicular scenario.
Hence, many proposals to solve the mobility management problems in heterogeneous wireless networks can be found in the literature.
Section 3 provides a brief review about recent mobility management works in the literature and summarizes our contribution in this paper.
SILVIO is based on integrating, enhancing and extending standard mobility management mechanisms in such a way that they result in a complete solution for the provision of Internet connectivity in the vehicular scenario, bringing a seamless experience to the user while tackling mobile operators' concerns on excessive network loads.
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