Name
Abstract | ||
|---|---|---|
Channel switching in HSPA networks is used to reduce the channel occupancy when there is no data transfer for the given user, this way reducing battery consumption. This paper is the first dealing with another important aspect that is the CPU load on the radio network controller (RNC) caused by channel switching. This is an optimization task, in which both the channel switching and staying on the high-bandwidth channel have costs. In this paper we propose a system to minimize the costs by applying a predictor based method which uses time slice based features in order to reduce the high variance in the feature values. The proposed system is evaluated and compared to other state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WoWMoM.2013.6583375 | World of Wireless, Mobile and Multimedia Networks |
Keywords | Field | DocType |
3G mobile communication,access protocols,radio networks,telecommunication switching,telecommunication traffic,CPU load,HSPA networks,RNC,battery consumption reduction,channel occupancy,high-bandwidth channel,optimization task,radio network controller,time slice based predictor method,traffic adaptive channel switching,channel switching,deep packet inspection,machine learning,optimization | Central processing unit,Preemption,Channel occupancy,Data transmission,Circuit switching,Computer science,Communication channel,Computer network,Real-time computing,Radio Network Controller,Battery (electricity) | Conference |
ISBN | Citations | PageRank |
978-1-4673-5827-9 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Géza Szabó | 1 | 95 | 8.87 |
| Gergely Pongrácz | 2 | 68 | 16.25 |
| Mathias Sintorn | 3 | 0 | 0.34 |