Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks
Ultra-dense small cell deployment in future 5G networks is a promising solution to the ever increasing demand of capacity and coverage. However, this deployment can lead to severe interference and high number of handovers, which in turn cause increased signaling overhead. In order to ensure service...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8388204/ |
| _version_ | 1818556889886097408 |
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| author | Mohanad Alhabo Li Zhang |
| author_facet | Mohanad Alhabo Li Zhang |
| author_sort | Mohanad Alhabo |
| collection | DOAJ |
| description | Ultra-dense small cell deployment in future 5G networks is a promising solution to the ever increasing demand of capacity and coverage. However, this deployment can lead to severe interference and high number of handovers, which in turn cause increased signaling overhead. In order to ensure service continuity for mobile users, minimize the number of unnecessary handovers and reduce the signaling overhead in heterogeneous networks, it is important to model adequately the handover decision problem. In this paper, we model the handover decision based on the multiple attribute decision making method, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The base stations are considered as alternatives, and the handover metrics are considered as attributes to selecting the proper base station for handover. In this paper, we propose two modified TOPSIS methods for the purpose of handover management in the heterogeneous network. The first method incorporates the entropy weighting technique for handover metrics weighting. The second proposed method uses a standard deviation weighting technique to score the importance of each handover metric. Simulation results reveal that the proposed methods outperformed the existing methods by reducing the number of frequent handovers and radio link failures, in addition to enhancing the achieved mean user throughput. |
| first_indexed | 2024-12-13T23:53:03Z |
| format | Article |
| id | doaj.art-549a17c8c6e240cdb42c1f41ba13aa12 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T23:53:03Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-549a17c8c6e240cdb42c1f41ba13aa122022-12-21T23:26:42ZengIEEEIEEE Access2169-35362018-01-016405474055810.1109/ACCESS.2018.28460458388204Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous NetworksMohanad Alhabo0https://orcid.org/0000-0002-0211-9115Li Zhang1School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.Ultra-dense small cell deployment in future 5G networks is a promising solution to the ever increasing demand of capacity and coverage. However, this deployment can lead to severe interference and high number of handovers, which in turn cause increased signaling overhead. In order to ensure service continuity for mobile users, minimize the number of unnecessary handovers and reduce the signaling overhead in heterogeneous networks, it is important to model adequately the handover decision problem. In this paper, we model the handover decision based on the multiple attribute decision making method, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The base stations are considered as alternatives, and the handover metrics are considered as attributes to selecting the proper base station for handover. In this paper, we propose two modified TOPSIS methods for the purpose of handover management in the heterogeneous network. The first method incorporates the entropy weighting technique for handover metrics weighting. The second proposed method uses a standard deviation weighting technique to score the importance of each handover metric. Simulation results reveal that the proposed methods outperformed the existing methods by reducing the number of frequent handovers and radio link failures, in addition to enhancing the achieved mean user throughput.https://ieeexplore.ieee.org/document/8388204/Heterogeneous networkshandoversmall cellsinterferenceMADMweight |
| spellingShingle | Mohanad Alhabo Li Zhang Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks IEEE Access Heterogeneous networks handover small cells interference MADM weight |
| title | Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks |
| title_full | Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks |
| title_fullStr | Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks |
| title_full_unstemmed | Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks |
| title_short | Multi-Criteria Handover Using Modified Weighted TOPSIS Methods for Heterogeneous Networks |
| title_sort | multi criteria handover using modified weighted topsis methods for heterogeneous networks |
| topic | Heterogeneous networks handover small cells interference MADM weight |
| url | https://ieeexplore.ieee.org/document/8388204/ |
| work_keys_str_mv | AT mohanadalhabo multicriteriahandoverusingmodifiedweightedtopsismethodsforheterogeneousnetworks AT lizhang multicriteriahandoverusingmodifiedweightedtopsismethodsforheterogeneousnetworks |