Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system
With the increasing demand for higher bandwidth and data rate of the mobile user. There are massive Base Stations (BS) will be deployed in the future wireless environment. Several issues could be raised dues to dense deployment of BSs, i.e. handover (HO) ping-pong effect, unnecessary HO and frequent...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Engineering and Technology Publishing
2019
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| Online Access: | https://eprints.nottingham.ac.uk/59396/ |
| _version_ | 1848799622772817920 |
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| author | Liu, Qianyu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan |
| author_facet | Liu, Qianyu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan |
| author_sort | Liu, Qianyu |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | With the increasing demand for higher bandwidth and data rate of the mobile user. There are massive Base Stations (BS) will be deployed in the future wireless environment. Several issues could be raised dues to dense deployment of BSs, i.e. handover (HO) ping-pong effect, unnecessary HO and frequent HO. To avoid these effects, the handover decision-making strategies become extremely important to select the optimal BS among all detected BS and ensure QoS for each mobile user. In this paper, the author develops a fuzzy-TOPSIS based HO algorithm to minimise the ping-pong effect and number of HO. The proposed algorithm integrates both advantages of fuzzy logic and TOPSIS. The Received Signal Strength Intensity (RSSI) and Signal to Noise Ratio (SNR) are considered as HO criteria in this approach. For the simulation result, the proposed HO algorithm can reduce ping-pong rate and a number of HO effectivity by comparing to conventional RSSI-based HO approach and classical Multi-Attribute Decision Making (MADM) HO method, i.e. simple additive weighting (SAW) and TOPSIS. |
| first_indexed | 2025-11-14T20:38:36Z |
| format | Article |
| id | nottingham-59396 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:38:36Z |
| publishDate | 2019 |
| publisher | Engineering and Technology Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-593962019-11-04T01:40:15Z https://eprints.nottingham.ac.uk/59396/ Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system Liu, Qianyu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan With the increasing demand for higher bandwidth and data rate of the mobile user. There are massive Base Stations (BS) will be deployed in the future wireless environment. Several issues could be raised dues to dense deployment of BSs, i.e. handover (HO) ping-pong effect, unnecessary HO and frequent HO. To avoid these effects, the handover decision-making strategies become extremely important to select the optimal BS among all detected BS and ensure QoS for each mobile user. In this paper, the author develops a fuzzy-TOPSIS based HO algorithm to minimise the ping-pong effect and number of HO. The proposed algorithm integrates both advantages of fuzzy logic and TOPSIS. The Received Signal Strength Intensity (RSSI) and Signal to Noise Ratio (SNR) are considered as HO criteria in this approach. For the simulation result, the proposed HO algorithm can reduce ping-pong rate and a number of HO effectivity by comparing to conventional RSSI-based HO approach and classical Multi-Attribute Decision Making (MADM) HO method, i.e. simple additive weighting (SAW) and TOPSIS. Engineering and Technology Publishing 2019-10-01 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/59396/1/Fuzzy-TOPSIS%20based%20optimal%20handover%20decision-making%20algorithm%20for%20fifth-generation%20of%20mobile%20communications%20system.pdf Liu, Qianyu, Kwong, Chiew-Foong, Zhang, Sibo and Li, Lincan (2019) Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system. Journal of Communications, 14 (10). pp. 945-950. ISSN 1796-2021 Handover management; Multi-attribute decision making; Technique for order preference by similarity to an ideal solution; Fuzzy Logic https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073450265&doi=10.12720%2fjcm.14.10.945-950&partnerID=40&md5=840cca844205be5b2ac14b39bbab4ede doi:10.12720/jcm.14.10.945-950 doi:10.12720/jcm.14.10.945-950 |
| spellingShingle | Handover management; Multi-attribute decision making; Technique for order preference by similarity to an ideal solution; Fuzzy Logic Liu, Qianyu Kwong, Chiew-Foong Zhang, Sibo Li, Lincan Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title | Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title_full | Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title_fullStr | Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title_full_unstemmed | Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title_short | Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| title_sort | fuzzy-topsis based optimal handover decision-making algorithm for fifth-generation of mobile communications system |
| topic | Handover management; Multi-attribute decision making; Technique for order preference by similarity to an ideal solution; Fuzzy Logic |
| url | https://eprints.nottingham.ac.uk/59396/ https://eprints.nottingham.ac.uk/59396/ https://eprints.nottingham.ac.uk/59396/ |