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RAT Selection Strategies for Next-Generation Wireless Networks: A Taxonomy and Survey

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Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Next-generation wireless network is the revolutionary technology envisioned to support the legions of heterogeneous data traffic and unprecedented deployment scenarios. In cognizance to this, 5G heterogeneous network (HetNet) emerged as a holistic approach that allows the network performance optimization in terms of capacity and user experience. However, exploiting these advantages of HetNet requires seamless connectivity to the suitable radio access technology (RAT) that facilitates ubiquitous and reliable communication. Consequently, substantial research endeavor has been made in the direction of optimal RAT selection lately. However, a comprehensive surveyed work has not been reported in the literature. Therefore, a detailed taxonomy is presented in this article to facilitate network engineers and researchers with the systematic study of the recent state-of-the-art work on optimal RAT selection in the 5G HetNets. In this taxonomy, the design aspects, merits and demerits of the existing user association scheme have been presented for their deployment in the next-generation wireless networks.

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Author information

Authors and Affiliations

  1. Guru Nanak Dev University, Regional Campus, Jalandhar, Jalandhar, India

    Bhanu Priya & Jyoteesh Malhotra

Authors
  1. Bhanu Priya
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  2. Jyoteesh Malhotra
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Editor information

Editors and Affiliations

  1. National Institute of Technology, Kurukshetra, Kurukshetra, India

    Mohit Dua

  2. National Institute of Technology, Kurukshetra, Kurukshetra, India

    Ankit Kumar Jain

  3. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

  4. National Institute of Technology, Uttarakhand, Srinagar, India

    Nitin Kumar

  5. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

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Priya, B., Malhotra, J. (2022). RAT Selection Strategies for Next-Generation Wireless Networks: A Taxonomy and Survey. In: Dua, M., Jain, A.K., Yadav, A., Kumar, N., Siarry, P. (eds) Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-5747-4_13

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