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Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers

Author

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  • Ahmed Al-Ansi

    (Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPBSUT), 193232 St. Petersburg, Russia)

  • Abdullah M. Al-Ansi

    (Faculty of Economic and Management, University of Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia)

  • Ammar Muthanna

    (Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPBSUT), 193232 St. Petersburg, Russia)

  • Ibrahim A. Elgendy

    (School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
    Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin el Kom 32511, Egypt)

  • Andrey Koucheryavy

    (Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPBSUT), 193232 St. Petersburg, Russia)

Abstract

Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture and energy sustainability. However, 5G technological improvements face many challenges such as traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is considered to be promising technology for the future. To this end, compared to other surveys, this paper provides a comprehensive survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing on main up-to-date characteristics, challenges, potential use cases and market drivers. Furthermore, we summarize research efforts on IEC in 5G from 2014 to 2021, in which the integration of IEC and 5G technologies are highlighted. Finally, open research challenges and new future directions in IEC with 6G networks will be discussed.

Suggested Citation

  • Ahmed Al-Ansi & Abdullah M. Al-Ansi & Ammar Muthanna & Ibrahim A. Elgendy & Andrey Koucheryavy, 2021. "Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers," Future Internet, MDPI, vol. 13(5), pages 1-23, April.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:5:p:118-:d:547172
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    References listed on IDEAS

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    2. Mashael Khayyat & Abdullah Alshahrani & Soltan Alharbi & Ibrahim Elgendy & Alexander Paramonov & Andrey Koucheryavy, 2020. "Multilevel Service-Provisioning-Based Autonomous Vehicle Applications," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. Ching Kung, 2005. "A possible unifying principle for mechanosensation," Nature, Nature, vol. 436(7051), pages 647-654, August.
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    Cited by:

    1. Rohit Kumar & Saurav Kumar Gupta & Hwang-Cheng Wang & C. Shyamala Kumari & Sai Srinivas Vara Prasad Korlam, 2023. "From Efficiency to Sustainability: Exploring the Potential of 6G for a Greener Future," Sustainability, MDPI, vol. 15(23), pages 1-45, November.
    2. Kelvin Anoh & Chan Hwang See & Yousef Dama & Raed A. Abd-Alhameed & Simeon Keates, 2022. "6G Wireless Communication Systems: Applications, Opportunities and Challenges," Future Internet, MDPI, vol. 14(12), pages 1-4, December.

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