Performance evaluation of LTE network via using fixed/mobile femtocells

Raheem, Rand, Lasebae, Aboubaker ORCID logoORCID: and Loo, Jonathan (2014) Performance evaluation of LTE network via using fixed/mobile femtocells. 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA). In: Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference, 13-16 May 2014, Victoria, BC, Canada. ISBN 9781479926527. [Conference or Workshop Item] (doi:10.1109/WAINA.2014.51)


This paper examines the concept of Mobile Femtocells to be the revolution of the next generation cellular networks. Mobile Femtocells can be deployed in public transportation vehicles such as trains, buses or private cars that form its own cell inside vehicles to serve vehicular and mobile User Equipments. The purpose of this study is to help cell-edge users to have better signal strength. Therefore, an investigation into Long Term Evolution cell-edge users' performance is being conducted by investigating the deployment of Mobile Femtocells in LTE system. The throughput for cell edge users can be improved by deploying Fixed/Mobile Femtocells. In this paper, two scenarios have been considered in the case of Fixed/Mobile Femtocells. The handover of Mobile Femtocell has been expressed in three more scenarios. The achieved results via Matlab simulation showed that Mobile Femtocells' users have enjoyed better Quality of Services than Fixed Femtocells' users. The improved performance has been noticed through the improvement of the Mobile Femtocells UEs' spectral efficiency, throughput and SINR over the Fixed Femtocells' users. The system behavior has been investigated under low, medium and high load traffic before and after adding the Mobile Femtocells. The results showed that adding the Mobile Femtocells in the high loaded traffic areas has the biggest affect on improving the UE's throughput.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 16772
Useful Links:
Depositing User: Aboubaker Lasebae
Date Deposited: 09 Jun 2015 08:53
Last Modified: 30 May 2019 18:26

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.