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

Area of Science:

• Wireless Communication
• Network Engineering
• Signal Processing

Background:

• The Industrial Internet of Things (IIoT) demands high reliability and low latency for industrial equipment.
• Existing Visible Light Communication (VLC) networks face challenges in meeting these stringent requirements.
• Integrating Radio Frequency (RF) with VLC offers a promising solution for enhanced network performance.

Purpose of the Study:

• To propose a resource optimization scheme for RF-aided VLC networks.
• To jointly optimize information transmission blocklength and power allocation for improved IIoT performance.
• To maximize Service Capacity (SC) while ensuring Quality of Service (QoS) and Service Reliability (SR).

Main Methods:

• Introduction of Short Packet Communication (SPC) and Non-Orthogonal Multiple Access (NOMA) technologies.
• Analysis of successful transmission probability for multiple User Equipment (UE).
• Formulation of an optimization problem to maximize SC under QoS, SR, and power constraints.
• Development of a joint blocklength and power allocation algorithm.

Main Results:

• The proposed NOMA VLC/RF resource optimization scheme significantly outperforms NOMA VLC and OMA VLC in reliable data transmission.
• Simulation results validate the effectiveness of the joint blocklength and power allocation algorithm.
• The algorithm successfully maximizes the Service Capacity (SC) of NOMA VLC/RF networks.

Conclusions:

• The developed resource optimization scheme effectively addresses the high-reliability and low-latency needs of IIoT.
• Jointly controlling blocklength and power allocation is crucial for maximizing SC in NOMA VLC/RF systems.
• Shorter blocklengths are beneficial for maximizing SC in these networks.