A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover
The fifth-generation communications system (5G) will commercialize at 2020 in order to satisfy the increasing demands on data rate and also to enable the internet of things (IoT). One of the most challenging issues in 5G communications network is to provide provisioning quality of service (QoS) whil...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/57794/ |
| _version_ | 1848799502413070336 |
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| author | Liu, Qian-yu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan |
| author_facet | Liu, Qian-yu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan |
| author_sort | Liu, Qian-yu |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The fifth-generation communications system (5G) will commercialize at 2020 in order to satisfy the increasing demands on data rate and also to enable the internet of things (IoT). One of the most challenging issues in 5G communications network is to provide provisioning quality of service (QoS) while maintaining seamless mobility for user equipment (UE). This paper proposes a QoS-aware handover algorithm based on fuzzy-TOPSIS to trigger and achieve the optimal cell selection. The proposed algorithm integrates both advantages of fuzzy logic and technique for order preference by similarity to an ideal solution (TOPSIS). The weights value of network attributes is first calculated by Entropy and the fuzzy-TOPSIS algorithm are then applied to rank each access networks. This QoS-aware algorithm is able to achieve the optimal Mean Option Score (MOS) for UE by considering QoS related parameters such as network jitter and packet loss ratio. The simulation results indicate that the proposed algorithm can guarantee good QoS while maintaining number of handover at a low level. |
| first_indexed | 2025-11-14T20:36:41Z |
| format | Conference or Workshop Item |
| id | nottingham-57794 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:36:41Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-577942019-09-11T09:51:28Z https://eprints.nottingham.ac.uk/57794/ A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover Liu, Qian-yu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan The fifth-generation communications system (5G) will commercialize at 2020 in order to satisfy the increasing demands on data rate and also to enable the internet of things (IoT). One of the most challenging issues in 5G communications network is to provide provisioning quality of service (QoS) while maintaining seamless mobility for user equipment (UE). This paper proposes a QoS-aware handover algorithm based on fuzzy-TOPSIS to trigger and achieve the optimal cell selection. The proposed algorithm integrates both advantages of fuzzy logic and technique for order preference by similarity to an ideal solution (TOPSIS). The weights value of network attributes is first calculated by Entropy and the fuzzy-TOPSIS algorithm are then applied to rank each access networks. This QoS-aware algorithm is able to achieve the optimal Mean Option Score (MOS) for UE by considering QoS related parameters such as network jitter and packet loss ratio. The simulation results indicate that the proposed algorithm can guarantee good QoS while maintaining number of handover at a low level. 2018-11-04 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/57794/1/A%20hybrid%20fuzzy-MADM%20based%20decision-making%20scheme%20for%20QoS%20aware%20handover2.pdf Liu, Qian-yu, Kwong, Chiew-Foong, Zhang, Sibo and Li, Lincan (2018) A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover. In: IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN, 4 November 2018, Ningbo, China. Handover; Fuzzy Logic; Multiple Attribute Decision Making; Quality of Service http://dx.doi.org/10.1049/cp.2018.1728 10.1049/cp.2018.1728 10.1049/cp.2018.1728 10.1049/cp.2018.1728 |
| spellingShingle | Handover; Fuzzy Logic; Multiple Attribute Decision Making; Quality of Service Liu, Qian-yu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title | A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title_full | A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title_fullStr | A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title_full_unstemmed | A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title_short | A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover |
| title_sort | hybrid fuzzy-madm based decision-making scheme for qos aware handover |
| topic | Handover; Fuzzy Logic; Multiple Attribute Decision Making; Quality of Service |
| url | https://eprints.nottingham.ac.uk/57794/ https://eprints.nottingham.ac.uk/57794/ https://eprints.nottingham.ac.uk/57794/ |