An optimal networked LiFi access point slicing scheme for internet-of-things

Alshaer, Hamada and Haas, Harald and Kolawole, Oluwatayo Y.; (2021) An optimal networked LiFi access point slicing scheme for internet-of-things. In: 2021 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, Piscataway, N.J.. ISBN 9781728194417 (https://doi.org/10.1109/iccworkshops50388.2021.947...)

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Abstract

Light-Fidelity (LiFi) access points (APs) can be deployed anywhere to support the exponential growth of various lightweight hand-held and smart internet-of-things (IoT) devices and applications. IoT traffic is often sporadic and consists of heterogeneous bursty flows, which may affect the performance of supported wireless services. This paper develops an optimal data rate-based slicing scheme that dynamically virtualizes a networked LiFi AP downlink channel bandwidth according to the data rate demands of users and the requested services. We formulate a game optimization problem that captures the relation between three main entities: a LiFi attocellular network infrastructure provider (InP), mobile virtual network operators (MVNOs), and IoT or wireless users. A software-defined networking (SDN) controller enables the InP to reconfigure the LiFi AP downlink channel slices to MVNOs, based on their service-level agreements (SLAs) and the traffic profile of IoT services. Simulation results show that the proposed AP resources slicing scheme is promising for IoT applications.

  • Item type:Book Section
    ID code:82089
    Dates:
    Date
    Event
    9 July 2021
    Published
    23 March 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:26 Aug 2022 15:45
    Last modified:16 Nov 2024 01:32
    URI:https://strathprints.strath.ac.uk/id/eprint/82089
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