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 Internet of Things (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 as well as efficiency of production processes. This paper first proposes an AOS adaptive framing algorithm based on an optimization threshold. The algorithm adaptively adjusts frame waiting time according to 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 average framing time and average packet delay while ensuring efficiency of frame reuse. Moreover, the virtual channel scheduling algorithm based on DQN can better meet the needs of the network, effectively reducing average scheduling delay and frame residual. The combination of AOS framing and virtual channel scheduling can improve transmission efficiency and optimize system performance.