Paper Info
Title
End-to-end user perceived application performance in 3G+ networks
Abstract
We address application-level performance issues in terms of wireless technologies evolution from 3G-1X RTT to 3G-1X EV and transport technology evolution from ATM to IP. We compared the end-to-end voice packet delay for different vocoder schemes such as G.711, G.726 (PCM), G.726 (ADPCM), and vocoder bypass scheme. We found that the vocoder bypass scenario shows 30% performance improvement over the others. For data packet performance, we found that HTTP v.1.1 shows better performance than that of HTTP v.1.0 due to the pipelining and TCP persistent connection. We also found that IP transport technology is better solution for higher FER environment since the IP packet overhead is smaller than that of ATM for Web browsing data traffic, while it shows opposite effect to small size voice packet in RAN architecture. Through simulation results we showed that the 3G-1X EV system gives much better packet delay performance than 3G-1X RTT. The main conclusion is that end- to-end application-level performance is affected by various elements and layers of the network and thus it must be considered in all phases of the development process.
Year
DOI
Venue
2004
10.1109/ICC.2004.1312936
ICC
Keywords
Field
DocType
application-level performance,ip networks,end-to-end user perceived application,3g-1x rtt,http,data communication,data packet performance,radio access networks,tcp,end-to-end voice packet delay,transport technology evolution,vocoders,transport protocols,vocoder bypass scheme,ip,3g mobile communication,internet,asynchronous transfer mode,wireless technology,ran architecture,3g+ networks,telecommunication traffic,3g-1x ev,web browsing data traffic,atm,predictive models,tcpip,intelligent networks,development process,throughput,web browsing
End-to-end delay,Computer science,End-to-end principle,Transmission delay,Network packet,Internet protocol suite,Computer network,Real-time computing,Asynchronous Transfer Mode,Throughput,Performance improvement
Conference
Volume
ISBN
Citations 
4
0-7803-8533-0
1
PageRank 
References 
Authors
0.41
2
2
Name
Order
Citations
PageRank
Jae-hyun Kim132751.40
Chaewoo Lee233127.28