A fuzzy-clustering based approach for MADM handover in 5G ultra-dense networks

Qianyu Liu, Chiew Foong Kwong, Sibo Zhang, Lincan Li, Jing Wang

Research output: Journal PublicationArticlepeer-review

3 Citations (Scopus)
4 Downloads (Pure)

Abstract

As the global data traffic has significantly increased in the recent year, the ultra-dense deployment of cellular networks (UDN) is being proposed as one of the key technologies in the fifth-generation mobile communications system (5G) to provide a much higher density of radio resource. The densification of small base stations could introduce much higher inter-cell interference and lead user to meet the edge of coverage more frequently. As the current handover scheme was originally proposed for macro BS, it could cause serious handover issues in UDN i.e. ping-pong handover, handover failures and frequent handover. In order to address these handover challenges and provide a high quality of service (QoS) to the user in UDN. This paper proposed a novel handover scheme, which integrates both advantages of fuzzy logic and multiple attributes decision algorithms (MADM) to ensure handover process be triggered at the right time and connection be switched to the optimal neighbouring BS. To further enhance the performance of the proposed scheme, this paper also adopts the subtractive clustering technique by using historical data to define the optimal membership functions within the fuzzy system. Performance results show that the proposed handover scheme outperforms traditional approaches and can significantly minimise the number of handovers and the ping-pong handover while maintaining QoS at a relatively high level.

Original languageEnglish
Pages (from-to)965-978
Number of pages14
JournalWireless Networks
Volume28
Issue number2
DOIs
Publication statusPublished - 7 Sep 2019

Keywords

  • 5G
  • Fuzzy logic
  • Fuzzy-TOPSIS
  • Handover
  • MADM
  • Mobility management
  • Subtractive clustering
  • Ultra-dense networks (UDNs)

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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