Optimal Design of Energy-Harvesting Hybrid VLC-RF Networks
Amir Hossein Fahim Raouf, Chethan Kumar Anjinappa, Ismail Guvenc

TL;DR
This paper proposes an optimized hybrid VLC-RF indoor network design that dynamically allocates resources and optimizes parameters to maximize data rates using energy harvesting and joint non-convex optimization techniques.
Contribution
It introduces a novel joint optimization framework for DC bias and time allocation in hybrid VLC-RF networks with energy harvesting, improving data rate performance.
Findings
Joint optimization outperforms single-parameter optimization.
Majorization-minimization effectively solves non-convex problems.
Higher data rates achieved with combined DC bias and time optimization.
Abstract
In this paper, we consider an indoor downlink dual-hop hybrid visible light communication (VLC)/radio frequency (RF) scenario. For each transmission block, we dynamically allocate a portion of time resources to VLC and the other portion to RF transmission. In the first phase (i.e., VLC transmission), the LED carries both data and energy to an energy harvester relay node. In the second phase (i.e., RF communication), the relay utilizes the harvested energy to re-transmit the decoded information to the far RF user. During this phase, the LED continues to transmit power (no information) to the relay node, aiming to harvest energy that can be used in the next transmission block. We formulate the optimization problem in the sense of maximizing the data rate under the assumption of decode-and-forward (DF) relaying. As the design parameters, the direct current (DC) bias and the assigned time…
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Taxonomy
TopicsOptical Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies
