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Visible light communications (VLC) have emerged as strong candidates formeeting the escalating demand for high data rates. Consider a VLC network,where multiple access-points (APs) serve both energy-harvesting users (EHUs),i.e., users which harvest energy from light intensity, and information-users(IUs), i.e., users which gather data information. In order to jointly balancethe achievable sum-rate at the IUs and the energy harvested by the EHUs, thepaper considers maximizing a network-wide utility, which consists of aweighted-sum of the IUs sum-rate and the EHUs harvested energy, subject toindividual IU rate constraint, individual EHU harvested-energy constraint, andAP power constraints, so as to jointly determine the direct current (DC)-biasvalue at each AP, and the users powers. The paper solves such a difficultnon-convex optimization problem using an iterative approach which relies oninner convex approximations, and compensates for the used approximations usingproper outer-loop updates. The paper further considers solving the specialcases of the problem, i.e., maximizing the sum-rate, and maximizing the totalharvested-energy, both subject to the same constraints. Numerical resultshighlight the significant performance improvement of the proposed algorithms,and illustrate the impacts of the network parameters on the performancetrade-off between the sum-rate and harvested-energy.

DC-Bias and Power Allocation in Cooperative VLC Networks for Joint Information and Energy Transfer