DEVELOPMENT OF AN ADAPTIVE TRACKING AREA LIST LOCATION MANAGEMENT SCHEME IN LONG TERM EVOLUTION (LTE) NETWORKS

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DEVELOPMENT OF AN ADAPTIVE TRACKING AREA LIST LOCATION MANAGEMENT SCHEME IN LONG TERM EVOLUTION (LTE) NETWORKS

Abstract:

High signaling load due to location management (LM) scheme in Long Term Evolution (LTE) Networks is a major quality of service issue due to the significant amount of resources consumed by this scheme. This scheme needs to be managed efficiently to guarantee seamless connection to any user on the Network at any time. Increasing trends of connected mobile equipment has further increase the required signaling resources for the Location Management Scheme in LTE. There are different enhanced strategies in the literature with different requirements which are not visible on the present LTE network architecture. One of the reason for high LM cost in LTE is the mass User Equipment (UE) movement in same direction. This is due to its inability to adapt to UE movement. This research developed Adaptive Tracking Area List (aTAL) for LTE to improve LM cost by reducing the number of location updates and paging required to track and setup call to UEs successfully. This aTAL strategy systematically allocates TAL to UEs based on its movement across rings of contiguous Tracking Areas (TAs). The algorithm used initial state of 1 TA allocation to a UE and subsequent allocation, is group of TAs regarded as a TAL segment in this work. A TAL segment is a group of 3 TAs after the initial TA allocation. To implement this algorithm, A TAL table is configured with respect to the contiguous arrangement of the TAL. The adaptive algorithm is embedded in the configured TAL table. This adaptive TAL strategy improves location management cost for ping pong, regular, irregular and mass movement patterns by 45.07%, 9.86%, 24.32% and 33.51% respectively compared to Conventional Tracking Area List Strategy

DEVELOPMENT OF AN ADAPTIVE TRACKING AREA LIST LOCATION MANAGEMENT SCHEME IN LONG TERM EVOLUTION (LTE) NETWORKS

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