TY - GEN
T1 - Learning Based Proactive Handovers in Heterogeneous Networks
AU - Horsmanheimo, Seppo
AU - Maskey, Niwas
AU - Kokkoniemi-Tarkkanen, Heli
AU - Tuomimäki, Lotta
AU - Savolainen, Pekka
N1 - Project code: Awareness 82164 Task 1.1
PY - 2013
Y1 - 2013
N2 - 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
AB - 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
KW - Vertical Handover
KW - Heterogeneous Network
KW - Key Performance Indicator
KW - Machine Learning
KW - Quality of Experience
U2 - 10.1007/978-3-319-04277-0_5
DO - 10.1007/978-3-319-04277-0_5
M3 - Conference article in proceedings
SN - 978-3-319-04277-0
SN - 978-3-319-04276-3
T3 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
SP - 57
EP - 68
BT - Mobile Networks and Management
PB - Springer
T2 - 5th International Conference, MONAMI 2013
Y2 - 23 September 2013 through 25 September 2013
ER -