Adaptive Framing and Virtual Channel Scheduling Algorithm Based on Advanced Orbiting System for Consumer Sustainability in Industry 5.0

Based on the development needs of Industry 5.0, Advanced On-orbit Systems (AOS) can be integrated with terrestrial 5G networks, with large-scale IoT links as well as with flexible deployment and resource optimization, enabling efficient transmission of multiple types of industrial data, human-machine collaboration, and improving the flexibility, innovation and efficiency of production processes. This paper first proposes an AOS adaptive framing algorithm based on an optimization threshold. The algorithm adaptively adjusts the frame waiting time according to the packet arrival conditions and optimizes the frame waiting time threshold using a differential evolution algorithm. Furthermore, an AOS virtual channel scheduling algorithm based on a Deep QNetwork (DQN) is proposed. The algorithm considers the service priority, scheduling delay and frame residual to find the optimal virtual channel scheduling order. Through simulation, it can be seen that the adaptive framing algorithm based on optimized threshold values can effectively reduce the average framing time and average packet delay while ensuring the efficiency of frame reuse. Moreover, the virtual channel scheduling algorithm based on DQN can better meet the needs of the network, effectively reducing the average scheduling delay and frame residual. The combination of AOS framing and virtual channel scheduling can improve transmission efficiency and optimize system performance.