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Scheduling for indoor visible light communication based on graph theory.

Yuyang Tao, Xiao Liang, Jiaheng Wang

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    This study introduces a new scheduling scheme for multiuser visible light communication (VLC) systems to maximize data rates and ensure fairness. The method efficiently manages interference between users for improved indoor wireless communication.

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    Area of Science:

    • Electrical Engineering
    • Computer Science
    • Wireless Communication

    Background:

    • Visible light communication (VLC) is a promising technology for high-rate indoor wireless networks.
    • Existing research primarily focuses on point-to-point VLC, neglecting multiuser scenarios.
    • Inter-user interference significantly degrades performance in multiuser VLC systems.

    Purpose of the Study:

    • To develop an efficient scheduling scheme for multiuser VLC systems.
    • To maximize the system's sum rate while ensuring user fairness.
    • To address the challenge of inter-user interference in multiuser VLC.

    Main Methods:

    • Formulated the scheduling problem as a maximum weighted independent set problem.
    • Proposed a novel resource allocation method utilizing graph theory.
    • Integrated proportional fairness into the scheduling algorithm.

    Main Results:

    • The proposed scheme achieves high sum rates by efficiently assigning LED access points to users.
    • The method effectively mitigates inter-user interference.
    • Demonstrated improved multiplexing gains, sum rate, and user fairness compared to existing approaches.

    Conclusions:

    • The novel graph theory-based scheduling scheme offers a low-complexity solution for multiuser VLC.
    • The approach successfully balances maximizing sum rate with ensuring proportional user fairness.
    • This work advances the performance and applicability of multiuser VLC systems.