Design Optimization of Tracking Area List in Lte Using 2D Markov Model

Mohammed Daffalla Elradi,Lamia Osman Widaa

doi:10.11648/j.awcn.20190502.12

Abstract

In LTE there is a logical grouping of cells called Tracking Area (TA) and TAs are further grouped into Tracking Area List (TAL). Signaling overhead is greatly affected by the size of the TA and TAL respectively. Designing an optimum TAL would greatly reduce signaling overhead resulting from Tracking Area Update (TAU) and Paging procedures, which in return maximizes the network performance. This paper adopts a 2D Markov model that can be used for design optimization of TAL in LTE system by estimating the number of users in a cell within a time slot and the probability of the next location they might move to, as users move from and into cells periodically. The model was simulated in Matlab simulation software. The 2D Markov model was used to calculate TAU overhead, paging overhead and the total signaling overheads. The numerical results show that our model probably reduces the signaling overhead by about an average of 56% than that of the conventional TA scheme.

Highlights

Mobility management is turning out to be one of the most essential prerequisites for any wireless network services
The proposed 2D Markov model performance was compared with the conventional Tracking Area (TA) design in terms of reducing signaling overhead, which was computed by estimating the number of users in each cell within a time slot
An optimum 2D Markov model that reduces the total signaling overhead was proposed for Tracking Area List (TAL) in LTE. estimates the number of users in a cell within a time slot and the probability of the location they might move to, as users move from and into cells periodically

Summary

Introduction

Mobility management is turning out to be one of the most essential prerequisites for any wireless network services. Mobility management aims at tracking the location of the user. In LTE networks there is a logical grouping of cells called Tracking Area (TA), which indicates the location of the UE [10]. TAs are further grouped into TA List (TAL), which gives more flexibility to the network’s configuration and has the potential of improving the network performance in terms of location management [15]. A UE performs a Tracking Area Update (TAU) whenever it changes TA. Tracking Area scheme encounters some limitations that include ping pong effect, mass mobility signalling congestion and symmetry limitation which are discussed in [2,3]

Results

Discussion

Conclusion