Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1374-1381 |
Number of pages | 8 |
ISBN (Electronic) | 9781479920723 |
DOIs | |
Publication status | Published - 4 Sept 2014 |
Externally published | Yes |
Event | IEEE International Conference on Fuzzy Systems 2014 - Beijing International Convention Center, Beijing, China Duration: 6 Jul 2014 → 11 Jul 2014 Conference number: 23rd https://ewh.ieee.org/conf/wcci/2014/index.htm (Conference details) https://ieeexplore.ieee.org/xpl/conhome/6880680/proceeding (Proceedings) |
Publication series
Name | IEEE International Conference on Fuzzy Systems |
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ISSN (Print) | 1098-7584 |
Conference
Conference | IEEE International Conference on Fuzzy Systems 2014 |
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Abbreviated title | FUZZ-IEEE 2014 |
Country/Territory | China |
City | Beijing |
Period | 6/07/14 → 11/07/14 |
Internet address |
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