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Multiplicative long short-term memory-based software-defined networking for handover management in 5G network

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Abstract

In recent years, the 5G network faces more traffic congestion due to the increasing number of mobile operators. In the networking field, learning methods are widely used to reduce the cost and increase flexibility and scalability. Network Function Virtualization is used to set the hardware functions as well as Software-Defined Networking (SDN) helps to concentrate the programming setup. SDN is a key method designed at sustaining high data traffic in next-generation 5G networks. Conversely, the compact deployment of small cells introduces numerous challenges such as frequent handovers, inconsistencies, interfaces, and so on. The software-defined 5G network is one important technique to solve these problems. Moreover, due to the separation of control and data signaling in 5G technology, the operation of handover should be performed. Therefore, Multiplicative Long Short-Term Memory (mLSTM)-based resource estimation strategy is proposed in this study to solve the handover problem. Finally, analyze the observed delays using the densification ratio metric to evaluate the standard and suggested handover procedures for proposed mLSTM which depends on user count. While related to the traditional SDN technique, the proposed mLSTM reduces the handover delay by 4.28 ms.

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Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

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Authors and Affiliations

  1. B.V. Raju Institute of Technology, Narsapur, Medak, Telangana, India

    Anil Kumar Bandani

  2. Department of ECE, Vasireddy Venkatadri Institute of Technology, Guntur, India

    Shaik Riyazuddien

  3. Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, 560064, India

    Parameshachari Bidare Divakarachari

  4. Department of Electronics and Communication Engineering, KLE Dr. M S Sheshgiri College of Engineering and Technology, Belgaum, Karnataka, India

    Sujata N. Patil

  5. Electronics and Telecommunication Engineering Department, Ramaiah Institute of Technology, Bengaluru, India

    G. Arvind Kumar

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  1. Anil Kumar Bandani
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Contributions

The paper investigation, resources, data curation, writing—original draft preparation, writing—review and editing, and visualization were done by AKB and SR. The paper conceptualization, software, were conducted by SNP and AKG. The validation and formal analysis, methodology, supervision, project administration, and funding acquisition of the version to be published were conducted by AM and PBD. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Parameshachari Bidare Divakarachari.

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Bandani, A.K., Riyazuddien, S., Bidare Divakarachari, P. et al. Multiplicative long short-term memory-based software-defined networking for handover management in 5G network. SIViP 17, 2933–2941 (2023). https://doi.org/10.1007/s11760-023-02514-1

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  • DOI: https://doi.org/10.1007/s11760-023-02514-1

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