Mobility Aware Power Control for VCSEL Based Indoor OWC

TL;DR

This paper proposes a mobility-aware power control framework for VCSEL-based indoor optical wireless communication, improving energy efficiency by accounting for user movement and device orientation changes.

Contribution

It introduces a hybrid Gauss Markov and learning-based approach to predict mobility states for better power allocation in dynamic indoor OWC networks.

Findings

Mobility-aware power control improves energy efficiency.

Channel prediction accuracy enhances power allocation.

Simulation shows better performance than conventional schemes.

Abstract

Optical wireless communication (OWC) is a promising technology for supporting data intensive services in indoor environments due to its large unregulated spectrum, high spatial reuse, and potential for multigigabit data rates. In particular, vertical cavity surface emitting laser (VCSEL) based systems enable highly directional transmission, allowing efficient spatial separation of users and improved link performance. However, the use of narrow optical beams also makes system performance highly sensitive to user mobility and device orientation, as movement directly affects beam alignment and optical channel gain. Consequently, power allocation strategies that ignore mobility dynamics often provision excess optical power to maintain reliable connectivity, resulting in inefficient energy use. In this work, a power control framework for dynamic indoor OWC networks that explicitly accounts for mobility driven channel variation is developed. It uses a hybrid Gauss Markov and learning based approach that captures both user movement continuity and behaviour driven orientation changes. The mobility states are then used to guide power allocation decisions. Simulation results show that incorporating mobility aware channel prediction enables more accurate power allocation, and improves energy efficiency compared with conventional power control schemes in dynamic indoor environments.