Name
Abstract | ||
|---|---|---|
As smartphone users increasingly rely on cellular networks to access voice, video, and web applications, guaranteeing good performance and high availability is more important than ever. Historically, managing cellular network configuration has been a manual, error-prone process; recently, automated solutions such as SON (Self-Organizing Networks) controllers are being deployed for dynamic tuning of network configuration to improve end-user service performance under dynamic network and traffic conditions. SON automates many aspects of cellular network configuration, but it is nonetheless susceptible to software bugs and expected traffic changes that could result in sub-optimal performance. In this paper, we propose a capability (Veracity) to analyze and quantify the performance effects of SON actions. Assessing the effects of SON control is difficult because of the dynamic nature of SON and the dependency of end-user performance on factors such as radio channel quality, mobility and traffic load. Veracity addresses these using model-driven impact detection and quantification. Our evaluation using data collected from an operational cellular network demonstrates that Veracity is accurate. Veracity is now being used by the service providers' field operation teams for the assessment of SON effectiveness in arenas and stadiums. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CNSM.2016.7818398 | 2016 12th International Conference on Network and Service Management (CNSM) |
Keywords | Field | DocType |
service performance impact quantification,self-organizing network actions,smartphone,cellular network configuration,SON controllers,self-organizing network controllers,network configuration dynamic tuning,end-user service performance,dynamic network,traffic conditions,software bugs,Veracity,radio channel quality,mobility,traffic load | Dynamic network analysis,Computer science,Software bug,Computer network,Service provider,Self-organizing network,Cellular network,Throughput,Web application,High availability,Distributed computing | Conference |
ISSN | ISBN | Citations |
2165-9605 | 978-1-5090-3236-5 | 1 |
PageRank | References | Authors |
0.37 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swati Roy | 1 | 1 | 0.37 |
| David Applegate | 2 | 41 | 2.48 |
| Zihui Ge | 3 | 847 | 55.97 |
| Ajay Mahimkar | 4 | 206 | 17.45 |
| Shomik Pathak | 5 | 1 | 0.70 |
| Sarat C. Puthenpura | 6 | 3 | 1.50 |