Elsevier

Computer Networks

Volume 128, 9 December 2017, Pages 14-27
Computer Networks

Centralized SON function for operator optimal strategies in heterogeneous networks

https://doi.org/10.1016/j.comnet.2017.06.018Get rights and content

Abstract

Recently emerging fourth generation networks, notably LTE-Advanced (LTE-A), are expected to meet the requirements of higher bit rates with excellent quality of service (QoS). The expansion and heterogeneity of these networks have made their operational cost higher, resulting in harder tasks for operators to remain competitive. Therefore, automatic engineering has recently been considered as a promising method in remote network management and human intervention minimization. Self-organizing networks (SONs) offer the possibility of remotely controlling the network in both pre-operational and operational states through self-configuration, self-optimization, and self-healing. In this paper, we propose a global handover self-optimization (HSOP) algorithm that jointly treats load balancing, energy saving, and ICI issues and can be deployed in a dynamic, automatic, and centralized way. Our proposed HSOP algorithm allows the mobile operator to choose the best HSOP strategy according to the network characteristics (place, time, user equipment type, and priority, etc.). Therefore, a traffic model must be available for the operator to indicate the input parameters of our global SON algorithm.

Section snippets

Introduction

Since being launched at the beginning of the 20th century, mobile communication networks have continuously progressed to satisfy clients who place more and more demands on this crucial service. To support enormous increases in users and data transmission throughput, fourth generation networks defined by the Release 10 3GPP LTE-Advanced (LTE-A) standard should deploy more evolved and sophisticated techniques. Small cells with dense deployment are a key feature of next-generation networks to

Related work

In this section, we present and discuss several studies that have considered self-organization in LTE-A heterogeneous networks. This work is the basis of our proposed approach.

Problem and objectives

SON is one of the most cost-effective features of fourth-generation networks with dense small-cell deployment. The approach that we propose in this work consists of defining a new procedure for self-organization in LTE-A HetNets; this method jointly treats HO, load balancing, energy savings, and ICI issues in a dynamic and automated way.

Our purpose is to facilitate the deployment of small cells, insure reliable HO between macro-cells and femto-cells so as to enhance the average throughput while

Simulation parameters

To test the proposed self-optimization strategies described in the previous sections, we used a MATLAB simulator with a HetNet topology.

The different parameters used for the simulation are given in the following table (Table 3):

In this paper, the 95% confidence interval for each data point was obtained based on 10 independent runs per simulation experiment. The simulation running times were chosen to be long enough to ensure stability and small confidence intervals. In all simulation results

Conclusion and future work

Motivated by the evolution of wireless mobile technologies and mobile operator constraints, we investigate the utilization of a global HSOP algorithm in LTE-A HetNets to facilitate network deployment and optimize its resources based on user demand. This algorithm allows the mobile operator to choose the optimal HO self-optimization strategy based on the network status, the type of UEs, etc.

In this work, we focus on mobility management, which is a crucial task in HetNets in which there are

Sonia BEN REJEB CHAOUCH M. Assistant at Institut Supérieur d’Informatique du Tunis (ISI). Graduated from Ecole Nationale d’Ingénieur de Tunis (ENIT) in 1999 and got a these of Ecole Supérieure des Communications de Tunis (SUPCOM) and Université Occidentale de Bretagne (UBO) in 28 Februrary 2006. Currently a member in the research laboratory MEDIATRON_SUPCOM. Interest research include wireless mobile networks: 4G/5G (LTE, LTE Advanced, FemtoCell, D2D, CRAN), QoS provisioning, resource allocation

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    • Cited by (0)

    Sonia BEN REJEB CHAOUCH M. Assistant at Institut Supérieur d’Informatique du Tunis (ISI). Graduated from Ecole Nationale d’Ingénieur de Tunis (ENIT) in 1999 and got a these of Ecole Supérieure des Communications de Tunis (SUPCOM) and Université Occidentale de Bretagne (UBO) in 28 Februrary 2006. Currently a member in the research laboratory MEDIATRON_SUPCOM. Interest research include wireless mobile networks: 4G/5G (LTE, LTE Advanced, FemtoCell, D2D, CRAN), QoS provisioning, resource allocation management, mobility management, policy-based networking architecture, CAC, IMS, mobile cloud computing, Cross layer designer, CoMP, CRAN,...

    Dr. Nidal Nasser received his B.Sc. and M.Sc. degrees with honors in computer engineering from Kuwait University, State of Kuwait, in 1996 and 1999, respectively. He completed his Ph.D. in the School of Computing at Queen's University, Kingston, Ontario, Canada, in 2004. He is currently an professor and Acting Dean of the College of Engineering at Alfaisal University, Saudi Arabia. He worked in the School of Computer Science at University of Guelph, Guelph, Ontario, Canada (2004–2011). Dr. Nasser was the founder and Director of the Wireless Networking and Mobile Computing Research Lab @ Guelph (WiNG: http://wing.socs.uoguelph.ca). He has authored 129 journal publications, refereed conference publications and book chapters in the area of wireless communication networks and systems. He has also given tutorials in major international conferences. Dr. Nasser is currently serving as an associate editor of Wiley's International Journal of Wireless Communications and Mobile Computing, Wiley's International Journal on Communication Systems, Wiley's Security and Communication Networks Journal and International Journal of Ad Hoc & Sensor Wireless Networks. He has been a member of the technical program and organizing committees of several international IEEE conferences and workshops. Dr. Nasser is a member of several IEEE technical committees. He received Fund for Scholarly and Professional Development Award in 2004 from Queen's University. He received the Computing Faculty Appreciation Award from the University of Guelph-Humber. He received the Best Research Paper Award at the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA’08), at the International Wireless Communications and Mobile Computing Conference (IWCMC’09), at the International Wireless Communications and Mobile Computing Conference (IWCMC’11), at the International Conference on Computing, Management and Telecommunications (ComManTel’13), and at the IEEE International Conference on Communications (ICC’14).

    Dr. Samer Mansour is an Assistant Professor of Software Engineering in the College of Engineering, Alfaisal University, Saudi Arabia. His Ph.D. in Engineering Mathematics Networked Predictive Control - is from Dalhousie University, Canada. He worked as a teaching postdoctoral fellow at Dalhousie for two years where he has received the Engineering Students Society teaching award for 2007-2008. After that he has worked for three years as a HMI/SCADA software developer at Trihedral Engineering Ltd where he contributed many modules to Trihedral's VTS SCADA software platform (security, drivers, alarm system module etc.) and has also trained newly hired developers and engineers as well as customers on VTS programming. His current research is in Control Systems, Wireless Sensor Networks, SCADA, and Smart Buildings.

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