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