The ANFIS Handover Trigger Scheme: The Long Term Evolution (LTE) Perspective
With the need for better mobility management strategy to manage increasing demand on efficient data delivery to the user, the Long Term Evolution (LTE) has introduced self-organizing networks (SONs) in order to provide autonomous control over the management of the network. It is important to ha...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/164/ http://ieeexplore.ieee.org/document/6891808/ |
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| Institution: | INTI International University |
| Summary: | With the need for better mobility management
strategy to manage increasing demand on efficient data delivery
to the user, the Long Term Evolution (LTE) has introduced
self-organizing networks (SONs) in order to provide
autonomous control over the management of the network. It is
important to have a “self-manage” element in the system to
provide a “quick-fix” and thus reduce the need of constant
human participation in the optimization process of the LTE’s
mobility management. The existing handover triggering scheme
for LTE is not flexible enough to introduce new performance
metrics such as user equipment (UE) speed, network jitter or
even cell loading. Such requirements for flexibility can only be
fulfilled by using flexible tools such as fuzzy logic schemes with
adaptive capability to cope with the changes of the fast paced
mobile environment. This paper will introduce the use of the
adaptive neuro-fuzzy inference system (ANFIS) to provide not
only flexibility to LTE for initial deployment, but also the
adaptive capability to optimize the efficiency of the handover
algorithm with minimal human interference |
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