Research Article
Load Balancing Techniques for Dynamic Gateway Selection in LTEWireless Networks
@ARTICLE{10.4108/eai.20-6-2016.151518, author={Sakshi Patni and Aditya Hegde and Krishna M. Sivalingam}, title={Load Balancing Techniques for Dynamic Gateway Selection in LTEWireless Networks}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={2}, number={7}, publisher={EAI}, journal_a={MCA}, year={2016}, month={6}, keywords={LTE networks, Packet Gateway Selection, Mobility Management Entity, Load Balancing}, doi={10.4108/eai.20-6-2016.151518} }- Sakshi Patni
Aditya Hegde
Krishna M. Sivalingam
Year: 2016
Load Balancing Techniques for Dynamic Gateway Selection in LTEWireless Networks
MCA
EAI
DOI: 10.4108/eai.20-6-2016.151518
Abstract
In this paper, we consider a Long Term Evolution (LTE) network. The user equipment (UE) nodes connect to the Internet through packet gateway nodes. Multiple P-GWs in the LTE core network forward these packets. Thus, based on how the sessions are established, different gateways may handle different levels of network traffic. If proper load balancing algorithms are not used, the load on some gateways may be higher than others leading to Quality of Service (QoS) degradation. We propose six different heuristics for load balancing, including one based on entropy called EBA. The entropy function provides an accurate measure of the difference in the load on the gateways. The performance studies show that the EBA algorithm provides good performance improvement for networks consisting of 1,00,000 users, 12 APNs and 50 P-GWs.
Copyright © 2016 Sakshi Patni et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
