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Scheduling with Heterogeneous QoS Provisioning for Indoor Visible-light Communication

  • Dong, Xiaoli (College of Communication Engineering, Jilin University) ;
  • Chi, Xuefen (College of Communication Engineering, Jilin University) ;
  • Sun, Hongliang (College of Communication Engineering, Jilin University) ;
  • Zhu, Yuhong (College of Communication Engineering, Jilin University)
  • Received : 2017.07.28
  • Accepted : 2017.11.24
  • Published : 2018.02.25

Abstract

Visible-light communication (VLC) combined with advanced illumination can be expected to become an integral part of next-generation communication networks. One of the major concerns in VLC implementation is developing resource-allocation schemes in a multi-user scenario. However, the scheduling for heterogeneous quality of service (QoS) traffic has not been studied so far, for the indoor VLC downlink system. In this paper, we creatively introduce effective-bandwidth and effective-capacity theory into the multi-user scheduling (MUS) problem, to guarantee the user's statistical delay QoS. We also take account of the aggregate interference (AI) in the indoor VLC downlink system, and analyze its impact on the user-centric MUS problem for the first time. Simulations show that the AI has a nonnegligible influence on the scheduling result, and that the proposed scheduling scheme could guarantee the user's QoS requirement under the premise of ensuring sum capacity.

Keywords

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FIG. 1. An indoor VLC downlink network.

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FIG. 2. Interference graph.

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FIG. 3. The AI for the scheduled user in VC5.

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FIG. 4. (a) Sum capacity for different priority factors. (b) SFI for different priority factors.

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FIG. 5. (a) The scheduling result for time slot 25, without AI. (b) The scheduling result for time slot 25, with AI. (c) Sum capacity.

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FIG. 6. (a) Sum capacity for different scheduling schemes. (b) Effective capacity for users 1 to 5. (c) Effective capacity for users 6 to 10.

TABLE 1. User-centric MUS algorithm

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TABLE 2. Parameters used in the simulation

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