Handover Parameter Optimization in LTE Self-Organizing Networks

This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the overall network performance and diminish negative effects (call dropping , HO failures). The proposed algorithm picks the best hysteresis and ti...

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Published in2010 IEEE 72nd Vehicular Technology Conference - Fall pp. 1 - 5
Main Authors Jansen, Thomas, Balan, Irina, Turk, John, Moerman, Ingrid, Kürner, Thomas
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Hysteresis
Interference
Measurement
Optimization
Signal to noise ratio
Simulation
System performance
Online AccessGet full text
ISBN1424435730
9781424435739
ISSN1090-3038
DOI10.1109/VETECF.2010.5594245

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Abstract This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the overall network performance and diminish negative effects (call dropping , HO failures). The proposed algorithm picks the best hysteresis and time-to-trigger combination for the current network status. We examined the effects of this self-optimizing algorithm in a realistic scenario setting and the results show an improvement from the static value settings.
AbstractList This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the overall network performance and diminish negative effects (call dropping , HO failures). The proposed algorithm picks the best hysteresis and time-to-trigger combination for the current network status. We examined the effects of this self-optimizing algorithm in a realistic scenario setting and the results show an improvement from the static value settings.
Author Jansen, Thomas
Balan, Irina
Kürner, Thomas
Turk, John
Moerman, Ingrid
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  givenname: Irina
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  givenname: John
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  givenname: Ingrid
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  givenname: Thomas
  surname: Kürner
  fullname: Kürner, Thomas
  email: kuerner@ifn.ing.tu-bs.de
  organization: Tech. Univ. Braunschweig, Braunschweig, Germany
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Snippet This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the...
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SubjectTerms Hysteresis
Interference
Measurement
Optimization
Signal to noise ratio
Simulation
System performance
Title Handover Parameter Optimization in LTE Self-Organizing Networks
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