TSA: Time series adaptation for enhanced cell reselection in UMTS

Sanghun Pyo, Sung Hoon Seo, Joo Seok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 pingpong cell reselection.

Original languageEnglish
Title of host publication16th International Conference on Telecommunications, ICT 2009
Pages340-345
Number of pages6
DOIs
Publication statusPublished - 2009
Event16th International Conference on Telecommunications, ICT 2009 - Marrakech, Morocco
Duration: 2009 May 252009 May 27

Publication series

Name16th International Conference on Telecommunications, ICT 2009

Other

Other16th International Conference on Telecommunications, ICT 2009
CountryMorocco
CityMarrakech
Period09/5/2509/5/27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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    Pyo, S., Seo, S. H., & Song, J. S. (2009). TSA: Time series adaptation for enhanced cell reselection in UMTS. In 16th International Conference on Telecommunications, ICT 2009 (pp. 340-345). [5158670] (16th International Conference on Telecommunications, ICT 2009). https://doi.org/10.1109/ICTEL.2009.5158670