Resource optimization algorithm for RF-aided NOMA VLC network joint blocklength control and power allocation

Area of Science:

• Wireless Communication Networks
• Optical Wireless Communication
• Industrial Internet of Things (IIoT)

Background:

• Industrial Internet of Things (IIoT) requires high reliability and low latency.
• Existing Visible Light Communication (VLC) networks face challenges in meeting these stringent demands.
• Integrating Radio Frequency (RF) with VLC offers a promising hybrid solution.

Purpose of the Study:

• To propose a resource optimization scheme for RF-aided VLC networks.
• To enhance Service Capacity (SC) and Quality of Service (QoS) for industrial applications.
• To address the joint control of information transmission blocklength and power allocation.

Main Methods:

• Introduction of Short Packet Communication (SPC) and Non-Orthogonal Multiple Access (NOMA) in an RF-aided VLC system.
• Analysis of successful transmission probability for multiple User Equipment (UE).
• Formulation of an optimization problem to maximize SC under QoS, Service Reliability (SR), and power constraints.

Main Results:

• The proposed resource optimization scheme for NOMA VLC/RF networks demonstrates superior performance over NOMA VLC and OMA VLC.
• The scheme ensures highly reliable data transmission for industrial equipment.
• The algorithm effectively maximizes SC by optimizing blocklength and power allocation.

Conclusions:

• The joint blocklength and power allocation algorithm is effective in maximizing SC for NOMA VLC/RF networks.
• The proposed scheme significantly improves reliability and satisfies low-latency requirements for IIoT.
• This hybrid RF-VLC approach offers a robust solution for future industrial communication systems.