Handover Based IMS Registration Scheme for Next Generation Mobile Networks

Abstract

Next generation mobile networks aim to provide faster speed and more capacity along with energy efficiency to support video streaming and massive data sharing in social and communication networks. In these networks, user equipment has to register with IP Multimedia Subsystem (IMS) which promises quality of service to the mobile users that frequently move across different access networks. After each handover caused due to mobility, IMS provides IPSec Security Association establishment and authentication phases. The main issue is that unnecessary reregistration after every handover results in latency and communication overhead. To tackle these issues, this paper presents a lightweight Fast IMS Mobility (FIM) registration scheme that avoids unnecessary conventional registration phases such as security associations, authentication, and authorization. FIM maintains a flag to avoid deregistration and sends a subsequent message to provide necessary parameters to IMS servers after mobility. It also handles the change of IP address for user equipment and transferring the security associations from old to new servers. We have validated the performance of FIM by developing a testbed consisting of IMS servers and user equipment. The experimental results demonstrate the performance supremacy of FIM. It reduces media disruption time, number of messages, and packet loss up to 67%, 100%, and 61%, respectively, as compared to preliminaries.

Enhancing Security of MME Handover via Fractional Programming and Firefly Algorithm

“…The number of bits for authentication between entities in the network is set as ρ = 1000 bits. It can be seen that the average SOR decreases to 0 as either T U or T R increases and they are all bounded by (9) and (10) when T U and T R approach to 0, respectively. These verify the findings in Lemma 3 about the monotonic decrease property of E[S] over T U and T R .…”

“…t R , is assumed to follow a gamma distribution [38] which is a general type of statistical distribution with a shape parameter of k and a rate of µ r . 9 Here, µ u and µ r represent the key update rate and mobility rate of UEs, respectively. The average KUI, denoted by T U , 7 Depending the capacity of the eNodeB, the handover of multiple UEs can be executed simultaneously by grouping them together via group handover as in [35].…”

“…8 Exponential distribution is used to model the KUI due to its memoryless property in describing the time interval between events which occur independently with a constant rate [37], [38]. 9 Gamma distribution has been shown to be a good approximation for the cell residence time distribution considering user mobility in cellular networks [39]. expectation operator N and S number of exposed packets (NEP) and signalling overhead rate (SOR), respectively λp average arrival rate of packets exchanged between UE and eNodeB ρ number of bits for authentication Po outage probability of vulnerability (OPV)…”

“…A detailed description of the registration and de-registration policies in mobile networks can be referred to in[9].…”