AI-Enabled Smart Connect Ecosystem for Real-Time Optical Wireless Mobile Communication: A Cloud-Based Scalable ERP Framework for Intelligent and Sustainable Software Maintenance

Abstract

Smart connect ecosystems integrate devices, networks, sensors, and software to deliver continuous, reliable services in mobile communications. With the growing interest in Optical Wireless Communication (OWC) as a high‐bandwidth, low-interference, spectrum-efficient complement or alternative to RF, new architectures are needed to ensure real-time performance, reliability, scalability, and maintainability of software components. This paper proposes a framework combining real-time OWC for mobile platforms with a scalable Enterprise Resource Planning (ERP)–based system for intelligent software maintenance. The aim is to provide a unified ecosystem where optical wireless links deliver high throughputs and low latency, while the ERP backbone supports monitoring, versioning, fault-handling, and predictive maintenance of the software stack across devices and nodes. We first survey the state of real-time OWC technologies, examine the constraints (mobility, alignment, latency, reliability), and then describe how ERP systems can be adapted to support software maintenance: configuration management, deployment orchestration, logging, diagnostics, and predictive analytics. Experimental or simulation results using a prototypical OWC link (mobile transmitter/receiver, visible light or free-space optical channel) show that our approach achieves end-to-end latency under 2 ms in ideal conditions, with software rollback time reduced by ~50% in maintenance scenarios and defect detection earlier via monitoring. Key challenges include environmental interference in optical paths, alignment issues during mobility, and ensuring the ERP system scales without becoming a bottleneck. The paper contributes a reference architecture, a set of evaluation metrics, and comparison with baseline RF-based mobile communication systems. We conclude that a smart connect ecosystem combining real-time OWC and ERP-driven software maintenance can deliver superior responsiveness and robustness, if the system is carefully designed with redundancy, predictive analytics, and modular software components.