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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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A novel heuristic for handover priority in mobile heterogeneous networks based on a multimodule Takagi-Sugeno-Kang fuzzy system

  • Zhang, Fuqi (College of Electrical Information, Changchun Guanghua University) ;
  • Xiao, Pingping (College of Electrical Information, Changchun Guanghua University) ;
  • Liu, Yujia (School of Electrical Engineering and Information Technology, Changchun Institute of Technology)
  • Received : 2021.06.06
  • Accepted : 2022.03.21
  • Published : 2022.08.10
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Abstract

H2RDC (heuristic handover based on RCC-DTSK-C), a heuristic algorithm based on a highly interpretable deep Takagi-Sugeno-Kang fuzzy classifier, is proposed for suppressing the mobile heterogeneous networks problem of frequent handover and handover ping-pong in the multibase-station scenario. This classifier uses a stack structure between subsystems to form a deep classifier before generating a base station (BS) priority sequence during the handover process, and adaptive handover hysteresis is calculated. Simulation results show that H2RDC allows user equipment to switch to the best antenna at the optimal time. In high-BS density load and mobility scenarios, the proposed algorithm's handover success rate is similar to those of classic algorithms such as best connection (BC), self tuning handover algorithm (STHA), and heuristic for handover based on AHP-TOPSIS-FUZZY (H2ATF). Moreover, the handover rate is 83% lower under H2RDC than under BC, whereas the handover ping-pong rate is 76% lower.

Keywords

Acknowledgement

The authors would like to thank the associated editor and anonymous reviewers for their valuable comments and suggestions to improve the quality of this paper. This study was funded by the Science and Technology Development Plan of Jilin Province of China (Department of Science and Technology of Jilin Province), Grant/Award Number: 20210203159SF.

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