Citation

Kwong, Chiew Foong (2015) Adaptive fuzzy logic handover algorithms for next generation mobile networks. PhD thesis, Multimedia University.

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Abstract

This work focuses on the design of handover algorithms that will improve the handover decision making process and at the same time provide the flexibility to change performance indicators when the need arises. It will incorporate the training capability derived from the artificial neural networks to tune the fuzzy logic controller to achieve at least a near-optimal output. With this adaptive capability, the algorithms can minimise the need for human intervention during initial deployment, optimisation and maintenance of network elements. The main contributions of this thesis are summarised as follows: firstly, a new handover triggering scheme is designed which incorporates fuzzy logic with adaptive capabilities to improve and optimise the handover decision process, followed by comparative performance analysis between the conventional and the new adaptive fuzzy logic handover decision algorithms in homogeneous networks. The adaptive fuzzy logic controller (FLC) will also be applied in LTE's mobility management scenarios where it will contribute to a larger framework envisioned by SONs to reduce OPEX. This is followed by comparative performance studies of the new algorithms with the existing LTE's handover algorithms. Secondly, the selection of eNBs in the SON’s automatic neighbour relation (ANR) function has been improved with a design of an additional function called the neighbour sorting function (NSF). It will sort and rank the possible eNBs to handover based on the QoS requirements. Finally, the adaptive nature of the algorithms can also be applied to optimise the existing LTE's handover triggering parameters such as time-to-trigger (TTT) and handover margin (HOM).

Item Type:	Thesis (PhD)
Additional Information:	Call No.: QA9.64 K86 2015
Uncontrolled Keywords:	Fuzzy logic
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	09 Jun 2016 09:11
Last Modified:	09 Jun 2016 09:11
URII:	http://shdl.mmu.edu.my/id/eprint/6340

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