The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

被引:25
作者
Abubakar, Attai Ibrahim [1 ]
Omeke, Kenechi G. G. [1 ]
Ozturk, Metin [1 ]
Hussain, Sajjad [1 ]
Imran, Muhammad Ali [1 ]
机构
[1] Univ Glasgow, James Watt Sch Engn, Glasgow, Scotland
来源
FRONTIERS IN COMMUNICATIONS AND NETWORKS | 2020年 / 1卷
关键词
COVID-19; coronavirus; pandemic; 5G networks; self-organizing networks; artificial intelligence; machine learning; SOFTWARE-DEFINED NETWORKING; CELLULAR NETWORKS; MOBILITY PREDICTION; WIRELESS NETWORKS; BIG DATA; LEARNING DRIVEN; DENSE NETWORKS; FRAMEWORK; COMMUNICATION; AI;
D O I
10.3389/frcmn.2020.575065
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
There is no doubt that the world is currently experiencing a global pandemic that is reshaping our daily lives as well as the way business activities are being conducted. With the emphasis on social distancing as an effective means of curbing the rapid spread of the infection, many individuals, institutions, and industries have had to rely on telecommunications as a means of ensuring service continuity in order to prevent complete shutdown of their operations. This has put enormous pressure on both fixed and mobile networks. Though fifth generation mobile networks (5G) is at its infancy in terms of deployment, it possesses a broad category of services including enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC), that can help in tackling pandemic-related challenges. Therefore, in this paper, we identify the challenges facing existing networks due to the surge in traffic demand as a result of the COVID-19 pandemic and emphasize the role of 5G empowered by artificial intelligence in tackling these problems. In addition, we also provide a brief insight on the use of artificial intelligence driven 5G networks in predicting future pandemic outbreaks, and the development a pandemic-resilient society in case of future outbreaks.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] Testbed for 5G Connected Artificial Intelligence on Virtualized Networks
    Nahum, Cleverson Veloso
    De Novoa Martins Pinto, Lucas
    Tavares, Virginia Brioso
    Batista, Pedro
    Lins, Silvia
    Linder, Neiva
    Klautau, Aldebaro
    IEEE ACCESS, 2020, 8 : 223202 - 223213
  • [22] COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
    Farhat, Faiza
    Sohail, Shahab Saquib
    Alam, Mohammed Talha
    Ubaid, Syed
    Ashhad, Mohd
    Madsen, Dag oivind
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2023, 6
  • [23] Application of artificial neural networks to predict the COVID-19 outbreak
    Niazkar, Hamid Reza
    Niazkar, Majid
    GLOBAL HEALTH RESEARCH AND POLICY, 2020, 5 (01)
  • [24] COVID-19, artificial intelligence, ethical challenges and policy implications
    Muhammad Anshari
    Mahani Hamdan
    Norainie Ahmad
    Emil Ali
    Hamizah Haidi
    AI & SOCIETY, 2023, 38 : 707 - 720
  • [25] COVID-19, artificial intelligence, ethical challenges and policy implications
    Anshari, Muhammad
    Hamdan, Mahani
    Ahmad, Norainie
    Ali, Emil
    Haidi, Hamizah
    AI & SOCIETY, 2023, 38 (02) : 707 - 720
  • [26] Role of Artificial Intelligence in fighting against COVID-19
    Nirmala, A. P.
    More, Sneha
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ADVANCES AND DEVELOPMENTS IN ELECTRICAL AND ELECTRONICS ENGINEERING (ICADEE), 2020, : 96 - 100
  • [27] Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases
    Panjeta, Manisha
    Reddy, Aryan
    Shah, Rushabh
    Shah, Jash
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (2) : 4639 - 4666
  • [28] Nurse management during covid-19: future opportunities and challenges
    Nicolau Galindo, Agnes
    Cabot Mota, Luisa
    Manent Larroya, Lourdes
    Gonzalez Mesa, Margarita
    Zamora Carmona, Francesc
    Simo Sanchez, Isabel
    Faura Vendrell, Maria Teresa
    REVISTA ROL DE ENFERMERIA, 2020, 43 (06): : 36 - 44
  • [29] Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases
    Manisha Panjeta
    Aryan Reddy
    Rushabh Shah
    Jash Shah
    Multimedia Tools and Applications, 2024, 83 : 4639 - 4666
  • [30] Exceptional times: 5G networks in a COVID-19 era
    Téral S.
    Bosco B.
    Optics and Photonics News, 2020, 31 (01): : 44 - 49