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Testbed Evaluation of Dynamic GGSN Load Balancing for High Bitrate 3G/UMTS Networks

Authors: László Bokor; Szabolcs Kustos; Gábor Jeney;

Testbed Evaluation of Dynamic GGSN Load Balancing for High Bitrate 3G/UMTS Networks

Abstract

Telecom operators and vendors predict that mobile networks will suffer a serious IP traffic explosion in the very near future. Besides designing, standardizing and deploying novel architectures like LTE/EPC, also radio access and core network technologies of existing communication systems must be extended in order to make them able to serve the expected traffic demands within limited expenditure growth. In this paper we present the implementation and real-life testbed evaluation results of a special technique aiming to enhance existing 3G/UMTS core network mechanisms by enabling GGSN with a dynamic load balancing and load sharing feature. The novelty of this implementation (i.e., its dynamic nature) lies in the fact that it makes the system able to balance the load not only in terms of active mobile nodes or number of serving contexts, but also based on the actual traffic characteristics of active mobile terminals. Our results show that the deployment of such an advanced GGSN scheme could significantly improve throughput and scalability of the overall packet switched domain in operator based 3G/UMTS environments, as it decreases the average packet latency by dynamically choosing between multiple GGSNs according to the real traffic load.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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