TSA: Time series adaptation for enhanced cell reselection in UMTS

Sanghun Pyo; Sung Hoon Seo; Joo Seok Song

doi:10.1109/ICTEL.2009.5158670

TSA: Time series adaptation for enhanced cell reselection in UMTS

Sanghun Pyo, Sung Hoon Seo, Joo Seok Song

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	16th International Conference on Telecommunications, ICT 2009
Pages	340-345
Number of pages	6
DOIs	https://doi.org/10.1109/ICTEL.2009.5158670
Publication status	Published - 2009
Event	16th International Conference on Telecommunications, ICT 2009 - Marrakech, Morocco Duration: 2009 May 25 → 2009 May 27

Publication series

Name	16th International Conference on Telecommunications, ICT 2009

Other

Other	16th International Conference on Telecommunications, ICT 2009
Country/Territory	Morocco
City	Marrakech
Period	09/5/25 → 09/5/27

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Communication

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10.1109/ICTEL.2009.5158670

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@inproceedings{eb3b6f524f6043f8a711c06964fff4c3,

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 pingpong cell reselection.",

author = "Sanghun Pyo and Seo, {Sung Hoon} and Song, {Joo Seok}",

year = "2009",

doi = "10.1109/ICTEL.2009.5158670",

language = "English",

isbn = "9781424429370",

series = "16th International Conference on Telecommunications, ICT 2009",

pages = "340--345",

booktitle = "16th International Conference on Telecommunications, ICT 2009",

note = "16th International Conference on Telecommunications, ICT 2009 ; Conference date: 25-05-2009 Through 27-05-2009",

}

Pyo, S, Seo, SH & Song, JS 2009, TSA: Time series adaptation for enhanced cell reselection in UMTS. in 16th International Conference on Telecommunications, ICT 2009., 5158670, 16th International Conference on Telecommunications, ICT 2009, pp. 340-345, 16th International Conference on Telecommunications, ICT 2009, Marrakech, Morocco, 09/5/25. https://doi.org/10.1109/ICTEL.2009.5158670

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T2 - 16th International Conference on Telecommunications, ICT 2009

AU - Pyo, Sanghun

AU - Seo, Sung Hoon

AU - Song, Joo Seok

PY - 2009

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N2 - 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.

AB - 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.

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U2 - 10.1109/ICTEL.2009.5158670

DO - 10.1109/ICTEL.2009.5158670

M3 - Conference contribution

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T3 - 16th International Conference on Telecommunications, ICT 2009

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BT - 16th International Conference on Telecommunications, ICT 2009

Y2 - 25 May 2009 through 27 May 2009

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TSA: Time series adaptation for enhanced cell reselection in UMTS

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