Abstract
In this paper, we propose a dynamic resource optimization scheme for a heterogeneous wireless network combining with a radio frequency (RF) access point (AP) and multiple visible light communication (VLC) APs. For adapting to the stochastic media content arrival rates and dynamic wireless channel conditions, a two-timescale stochastic network resource optimization problem is formulated by employing the Lyapunov optimization technique. To this end, we propose an online two-timescale adaptive network resource optimization (ANRO) framework. At the ANRO, the network selections for user equipments (UE) are operated at a large timescale, while the resource allocations for both RF and VLC APs are operated at a small timescale. Simulation results exhibit that the ANRO not only stabilizes the network but also significantly reduces the energy consumption than other existing schemes.
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