Paper Info
Title
TSA: time series adaptation for enhanced cell reselection in UMTS
Abstract
Mobile Stations (MSs) operate in either idle mode or connected mode. However, previous studies have mainly focused on the connected mode even though the MSs remain their most of time in the idle mode. In this paper, we propose an efficient Cell Reselection algorithm, namely TSA (Time Series Adaptation), to decide the best cell in UMTS (Universal Mobile Telecommunication Systems). The proposed algorithm has the advantage of selecting the strongest RSCP cell out of neighboring cells for the cell reselection by utilizing time series parameters (e.g., β0 and β1). We evaluate the proposed cell reselection with TSA through the real-system testbed (Stand Alone Simulator). As a result, the TSA provides a proper decision for the cell reselection thereby avoiding the occurrence of unnecessary ping-pong cell reselection.
Year
DOI
Venue
2009
10.1109/ICTEL.2009.5158670
ICT
Keywords
Field
DocType
strongest rscp cell,neighboring cell,proposed cell reselection,connected mode,enhanced cell reselection,universal mobile telecommunication systems,best cell,time series adaptation,unnecessary ping-pong cell reselection,idle mode,cell reselection,mobile stations,fading,mobile station,time series analysis,mobile communication,computer science,real time systems,reliability engineering,data mining,broadcasting,time series,umts,testing,probability density function
Mobile radio,UMTS frequency bands,Idle,Fading,Computer science,Computer network,Testbed,Real-time computing,Mobile telecommunication systems
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Sanghun Pyo132.25
SungHoon Seo2484.94
JooSeok Song330658.82