An adaptive fuzzy handover triggering approach for Long-Term Evolution network

Citation

Kwong, Chiew Foong and Chuah, Teong Chee and Tan, Su Wei and Akbari Moghanjoughi, Ayyoub (2015) An adaptive fuzzy handover triggering approach for Long-Term Evolution network. Expert Systems with Applications, 33 (1). pp. 30-45. ISSN 0957-4174; eISSN: 1468-0394

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Abstract

To cope with the increasing demand for ef fi cient data delivery, self-organizing networks have been introduced in the Long Term Evolution (LTE) system to provide autonomous and fl exible mobility management. The existing handover triggering scheme for LTE is not fl exible enough to incorporate new performance metrics, and it introduces handover latency. There are studies on non-conventional handoff algorithms for LTE applications, for instance, the fuzzy logic approach. However, the fuzzy logic approach needs regular manual tuning to constantly produce optimal output. In this paper, we address this issue by proposing an adaptive fuzzy logic-based handoff decision algorithm, which can cope with environmental changes and improve ef fi ciency by reducing human intervention. Performance results show that the proposed algorithm can reduce unnecessary handovers by about 20% compared with the fuzzy logic and conventional LTE handover triggering scheme, leading to reduced packet loss rates

Item Type: Article
Uncontrolled Keywords: expert system, fuzzy system, knowledge base system, artificial intelligence
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 12 Dec 2017 17:00
Last Modified: 12 Dec 2017 17:00
URII: http://shdl.mmu.edu.my/id/eprint/6624

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