Learning Based Proactive Handovers in Heterogeneous Networks

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Today, the number of versatile real-time mobile applications is vast, each requiring different data rate, Quality of Service (QoS) and connection availability requirements. There have been strong demands for pervasive communication with advances in wireless technologies. Real-time applications experience significant performance bottlenecks in heterogeneous networks. A critical time for a real-time application is when a vertical handover is done between different radio access technologies. It requires a lot of signalling causing unwanted interruptions to real-time applications. This work presents a utilization of learning algorithms to give time for applications to prepare itself for vertical handovers in the heterogeneous network environment. A testbed has been implemented, which collects PHY (Physical layer), application level QoS and users context information from a terminal and combines these Key Performance Indicators (KPI) with network planning information in order to anticipate vertical handovers by taking into account the preparation time required by a specific real-time application
Original languageEnglish
Title of host publicationMobile Networks and Management
Subtitle of host publicationMONAMI 2013
PublisherSpringer
Pages57-68
ISBN (Print)978-3-319-04277-0, 978-3-319-04276-3
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
Event5th International Conference, MONAMI 2013 - Cork, Ireland
Duration: 23 Sep 201325 Sep 2013

Publication series

SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume125
ISSN1867-8211

Conference

Conference5th International Conference, MONAMI 2013
Abbreviated titleMONAMI 2013
CountryIreland
CityCork
Period23/09/1325/09/13

Fingerprint

Heterogeneous networks
Quality of service
Testbeds
Learning algorithms
Availability
Planning
Communication

Keywords

  • Vertical Handover
  • Heterogeneous Network
  • Key Performance Indicator
  • Machine Learning
  • Quality of Experience

Cite this

Horsmanheimo, S., Maskey, N., Kokkoniemi-Tarkkanen, H., Tuomimäki, L., & Savolainen, P. (2013). Learning Based Proactive Handovers in Heterogeneous Networks. In Mobile Networks and Management: MONAMI 2013 (pp. 57-68). Springer. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol.. 125 https://doi.org/10.1007/978-3-319-04277-0_5
Horsmanheimo, Seppo ; Maskey, Niwas ; Kokkoniemi-Tarkkanen, Heli ; Tuomimäki, Lotta ; Savolainen, Pekka. / Learning Based Proactive Handovers in Heterogeneous Networks. Mobile Networks and Management: MONAMI 2013. Springer, 2013. pp. 57-68 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 125).
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title = "Learning Based Proactive Handovers in Heterogeneous Networks",
abstract = "Today, the number of versatile real-time mobile applications is vast, each requiring different data rate, Quality of Service (QoS) and connection availability requirements. There have been strong demands for pervasive communication with advances in wireless technologies. Real-time applications experience significant performance bottlenecks in heterogeneous networks. A critical time for a real-time application is when a vertical handover is done between different radio access technologies. It requires a lot of signalling causing unwanted interruptions to real-time applications. This work presents a utilization of learning algorithms to give time for applications to prepare itself for vertical handovers in the heterogeneous network environment. A testbed has been implemented, which collects PHY (Physical layer), application level QoS and users context information from a terminal and combines these Key Performance Indicators (KPI) with network planning information in order to anticipate vertical handovers by taking into account the preparation time required by a specific real-time application",
keywords = "Vertical Handover, Heterogeneous Network, Key Performance Indicator, Machine Learning, Quality of Experience",
author = "Seppo Horsmanheimo and Niwas Maskey and Heli Kokkoniemi-Tarkkanen and Lotta Tuomim{\"a}ki and Pekka Savolainen",
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Horsmanheimo, S, Maskey, N, Kokkoniemi-Tarkkanen, H, Tuomimäki, L & Savolainen, P 2013, Learning Based Proactive Handovers in Heterogeneous Networks. in Mobile Networks and Management: MONAMI 2013. Springer, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 125, pp. 57-68, 5th International Conference, MONAMI 2013, Cork, Ireland, 23/09/13. https://doi.org/10.1007/978-3-319-04277-0_5

Learning Based Proactive Handovers in Heterogeneous Networks. / Horsmanheimo, Seppo; Maskey, Niwas; Kokkoniemi-Tarkkanen, Heli; Tuomimäki, Lotta; Savolainen, Pekka.

Mobile Networks and Management: MONAMI 2013. Springer, 2013. p. 57-68 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 125).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Horsmanheimo S, Maskey N, Kokkoniemi-Tarkkanen H, Tuomimäki L, Savolainen P. Learning Based Proactive Handovers in Heterogeneous Networks. In Mobile Networks and Management: MONAMI 2013. Springer. 2013. p. 57-68. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 125). https://doi.org/10.1007/978-3-319-04277-0_5