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 (

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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.