ISSN 2394-5125
 

Research Article 


ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK

Rishiraj Sengupta, Dhritiraj Sengupta, Aashish Kumar Kamra, Digvijay Pandey.

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  • Abstract
    It is widely accepted that networks are getting more complex and it needs smarter ways to deliver
    an optimum capability of the network in reality. Millimeter wave will help to meet the demand as it will provide
    the higher bandwidth that is needed for 5G. But these higher frequencies also come with challenges, such as low
    signal penetration, that we need to counter to get optimum advantage. In this paper, we highlight the challenges
    in high frequency wireless networks and put forward ideas involving recent development in telecommunications
    and computing technology. In doing so, we critically evaluate the need for Artificial Intelligence (AI) and
    Quantum computing (QC) within the network architecture to provide the required capability for beam, resource,
    and interference management. The subsequent wireless networks need to be self-predictive and proactive to
    handle futuristic applications like holographic communication, haptic feedback, or any latency dependent
    application. Radio frequency itself is a dynamically changing component therefore rather than having fixed
    rules, it is preferable to have a dynamically adaptable network. Today, the main challenge in the modern
    wireless networks is to have a constant knowledge of the radio environment including multipath propagation of
    MIMO channels especially, with the introduction of narrow beams in higher frequency, tracking of beams will
    be a challenge.

    Key words: 5G; Millimeter wave; Artificial Intelligence; Quantum computing


     
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    How to Cite this Article
    Pubmed Style

    Sengupta R, Sengupta D, Kamra AK, Pandey D. ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. JCR. 2020; 7(19): 200-208. doi:10.31838/jcr.07.19.21


    Web Style

    Sengupta R, Sengupta D, Kamra AK, Pandey D. ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. http://www.jcreview.com/?mno=102050 [Access: September 14, 2020]. doi:10.31838/jcr.07.19.21


    AMA (American Medical Association) Style

    Sengupta R, Sengupta D, Kamra AK, Pandey D. ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. JCR. 2020; 7(19): 200-208. doi:10.31838/jcr.07.19.21



    Vancouver/ICMJE Style

    Sengupta R, Sengupta D, Kamra AK, Pandey D. ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. JCR. (2020), [cited September 14, 2020]; 7(19): 200-208. doi:10.31838/jcr.07.19.21



    Harvard Style

    Sengupta, R., Sengupta, . D., Kamra, . A. K. & Pandey, . D. (2020) ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. JCR, 7 (19), 200-208. doi:10.31838/jcr.07.19.21



    Turabian Style

    Sengupta, Rishiraj, Dhritiraj Sengupta, Aashish Kumar Kamra, and Digvijay Pandey. 2020. ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. Journal of Critical Reviews, 7 (19), 200-208. doi:10.31838/jcr.07.19.21



    Chicago Style

    Sengupta, Rishiraj, Dhritiraj Sengupta, Aashish Kumar Kamra, and Digvijay Pandey. "ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK." Journal of Critical Reviews 7 (2020), 200-208. doi:10.31838/jcr.07.19.21



    MLA (The Modern Language Association) Style

    Sengupta, Rishiraj, Dhritiraj Sengupta, Aashish Kumar Kamra, and Digvijay Pandey. "ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK." Journal of Critical Reviews 7.19 (2020), 200-208. Print. doi:10.31838/jcr.07.19.21



    APA (American Psychological Association) Style

    Sengupta, R., Sengupta, . D., Kamra, . A. K. & Pandey, . D. (2020) ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR A SMARTER WIRELESS NETWORK. Journal of Critical Reviews, 7 (19), 200-208. doi:10.31838/jcr.07.19.21