The ANFIS handover trigger scheme: the Long Term Evolution (LTE) perspective

C. F. Kwong, T. C. Chuah, S. W. Tan

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

5 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781479920723
Publication statusPublished - 4 Sept 2014
Externally publishedYes
EventIEEE International Conference on Fuzzy Systems 2014 - Beijing International Convention Center, Beijing, China
Duration: 6 Jul 201411 Jul 2014
Conference number: 23rd (Conference details) (Proceedings)

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584


ConferenceIEEE International Conference on Fuzzy Systems 2014
Abbreviated titleFUZZ-IEEE 2014
Internet address

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