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RETRACTED ARTICLE: Sector-like optimization model of 5G base transceiver stations redeployment and the generalization

Author

Listed:
  • Jia-Lei Ding

    (Shandong University of Science and Technology)

  • Mei Wang

    (Xiamen Housing Rental Development Co., Ltd)

  • Ming-Yu An

    (Shandong University of Science and Technology)

  • Dao-Long Yuan

    (Shandong University of Science and Technology)

  • Yi-Chen Shen

    (Xiamen University)

  • Xiu-Juan Cao

    (Shandong University of Science and Technology)

Abstract

Recent studies on base transceiver station deployment put emphasis on the base station performance, deployment methods and Unmanned Aerial Vehicle optimized deployment, while rarely consider elements including the cost of communication operators, user demand and the impact of signal overlapping coverage. This research is conducted to solve the above problems. Firstly, after studying the information about existing network base stations and weak coverage points, the signal coverage area is determined as a sector-like area. With the objectives of the minimum construction cost and the minimum number of overlapping coverage points, a bi-objective nonlinear function model is worked out, under constraints of base station coverage, threshold value between base stations, base station throughput, etc. Secondly, a computer program is written to solve the above model by means of the optimization searching method, with the real and large data in the existing network. Finally, longitude & latitude coordinates are converted into raster coordinates to ensure the practical application of the model. This research facilitates the base station redeployment.

Suggested Citation

  • Jia-Lei Ding & Mei Wang & Ming-Yu An & Dao-Long Yuan & Yi-Chen Shen & Xiu-Juan Cao, 2023. "RETRACTED ARTICLE: Sector-like optimization model of 5G base transceiver stations redeployment and the generalization," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-18, March.
    • Handle: RePEc:spr:jcomop:v:45:y:2023:i:2:d:10.1007_s10878-023-00999-7
    DOI: 10.1007/s10878-023-00999-7
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    References listed on IDEAS

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    1. Qun Bao & Ya-Nan Mao & Rui Xie & Li-Jun Xu & Tabasam Rashid, 2022. "Empirical Analysis of Supplier Inefficient Investment at Customer Risks Based on Supply Chain Data," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, April.
    2. Li-Jun Xu & Yan Liang & Jin-Tao Su & Tong Ouyang & Jia-Ming Zhu & Shenggang Li, 2021. "The Comprehensive Evaluation of the National Higher Education System Based on EWM and ARMA Models," Complexity, Hindawi, vol. 2021, pages 1-13, April.
    3. Mingliang Liang & Wenxuan Li & Jie Ji & Zhenxi Zhou & Yihang Zhao & Huiru Zhao & Sen Guo & Chiranjibe Jana, 2022. "Evaluating the Comprehensive Performance of 5G Base Station: A Hybrid MCDM Model Based on Bayesian Best-Worst Method and DQ-GRA Technique," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-15, January.
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