Title
A VoLTE traffic classification method in LTE network
Abstract
With the emergence of the Long Term Evolution (LTE) technology, LTE based VoIP services are gaining more and more popularity in these days. Voice over LTE (VoLTE) is a VoIP based multimedia service on All-IP based LTE network, which was initially introduced and commercialized by Korea telecommunication companies in 2012. As more and more subscribers use VoLTE service, the VoLTE traffic volume increases, and this may in turn lower down the VoLTE quality; therefore to preserve QoS of VoLTE service, we need to periodically monitor VoLTE traffic among LTE traffic, and perform appropriate actions to LTE network. To be the first step of realizing this goal, in this paper, we propose a VoLTE traffic classification method and its distributed processing architecture to achieve high throughput. For the classification, we analyze SIP/SDP packets for VoLTE service and generate VoLTE tailored SIP packet signature using SIP User-Agent header field. Since the proposed classification method is relying on Deep Packet Inspection (DPI) method, the classification accuracy can be guaranteed, yet it suffers from the poor processing performance. Therefore, we further propose a distributed and parallel traffic processing architecture with the help of HTCondor.
Year
DOI
Venue
2014
10.1109/APNOMS.2014.6996582
APNOMS
Keywords
DocType
ISSN
VoLTE service,VoLTE quality,deep packet inspection method,SDP packets,HTCondor,quality of service,RTP,all-IP based LTE network,VoIP based multimedia service,parallel traffic processing architecture,SIP user-agent header field,Internet telephony,SIP packets,Long Term Evolution technology,QoS,VoLTE traffic classification method,SIP,VoLTE traffic volume,Long Term Evolution,telecommunication traffic,VoLTE,Traffic Analysis,Korea telecommunication companies,LTE based VoIP services,distributed processing architecture,multimedia communication
Conference
2576-8565
Citations 
PageRank 
References 
3
0.45
0
Authors
5
Name
Order
Citations
PageRank
Jonghwan Hyun1265.93
Jian Li2315.60
Chaetae Im3143.59
Yoo Jae Hyoung47419.35
James Won-Ki Hong5713122.26