A double herd krill based algorithm for location area optimization in mobile wireless cellular network.

F Vincylloyd,B Anand

doi:10.1155/2015/475806

Abstract

In wireless communication systems, mobility tracking deals with determining a mobile subscriber (MS) covering the area serviced by the wireless network. Tracking a mobile subscriber is governed by the two fundamental components called location updating (LU) and paging. This paper presents a novel hybrid method using a krill herd algorithm designed to optimize the location area (LA) within available spectrum such that total network cost, comprising location update (LU) cost and cost for paging, is minimized without compromise. Based on various mobility patterns of users and network architecture, the design of the LR area is formulated as a combinatorial optimization problem. Numerical results indicate that the proposed model provides a more accurate update boundary in real environment than that derived from a hexagonal cell configuration with a random walk movement pattern. The proposed model allows the network to maintain a better balance between the processing incurred due to location update and the radio bandwidth utilized for paging between call arrivals.

Highlights

Location areas represent a significant strategy of location management, used to reduce signalling traffic imposed by location updating and paging messages in mobile cellular networks
We have assumed that in our microcellular configuration each hexagonal cell has a radius of 1 km
This paper discusses the problem of ever increasing concern for reduction of signalling loads generated in future mobile wireless cellular network (MWCN) due to paging and location update (LU)

Summary

Introduction

Location areas represent a significant strategy of location management, used to reduce signalling traffic imposed by location updating and paging messages in mobile cellular networks. In contrast to a landline telephonic network, mobile wireless cellular network (MWCN) accommodates dynamically relocatable service users with whom location uncertainty is always associated. To reduce this location uncertainty, each mobile terminal has to report its location information in regular interval, which is called an LU procedure. In dynamic LU scheme, the frequency of LU performed by a mobile terminal (MT) depends upon a stochastic phenomenon, which is user’s movement behavior [1,2,3,4,5,6]. The frequency of paging to be performed by the network, per user, depends upon another stochastic phenomenon, which is incoming call arrival process for each user [7]

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Results

Conclusion