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

Hamada Alshaer, Harald Haas, Oluwatayo Y. Kolawole

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
17 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728194417
DOIs
Publication statusPublished - 9 Jul 2021

Keywords

  • wireless communication
  • conferences
  • light fidelity
  • internet of things
  • free-space optical communication
  • telecommunication traffic

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