Optimal Power Allocation for Integrated Visible Light Positioning and Communication System With a Single LED-Lamp

Abstract

In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that the VLC channel model is a function of the receiver's location, we propose a system model that estimates the channel state information (CSI) based on the positioning information without transmitting pilot sequences. Second, we derive the Cramer-Rao lower bound (CRLB) on the positioning error variance and a lower bound on the achievable rate with on-off keying modulation. Third, based on the derived performance metrics, we optimize the power allocation to minimize the CRLB, while satisfying the rate outage probability constraint. To tackle this non-convex optimization problem, we apply the worst-case distribution of the Conditional Value-at-Risk (CVaR) and the block coordinate descent (BCD) methods to obtain the feasible solutions. Finally, the effects of critical system parameters, such as outage probability, rate threshold, total power threshold, are revealed by numerical results.

Neural Network-Based Detection of OCC Signals in Lighting-Constrained Environments: A Museum Use Case

“…Innovations in receiver diversity and computational methods, such as neural networks, have markedly improved positioning accuracy within Light Positioning Technologies [16]. Recent research has introduced innovative tracking algorithms and explored the potential of artificial intelligence in optimizing VLP signal decoding processes, addressing challenges such as the need for dense LED distributions [17], line-of-sight constraints [18], and the impact of environmental factors.…”

Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks

“…In [29], the relationship between channel gain distributions and UE's position and orientation was studied, and the symbol error probability was derived based on the least-square channel estimation and channel gain distributions, while the relationship between positioning and communication performance is not revealed. In [30], the intrinsic relationship between positioning errors and channel estimation errors was derived, and a robust joint power allocation scheme was proposed through the time division multiple access (TDMA). However, this relationship is statistical and implicit.…”