## 4 AOS Elastic Slot Scheduling Strategy
For asynchronous non-real-time traffic, it can be observed that the TAMA algorithm exhibits a relatively higher frame residual, while FAMA, which uses the current virtual channel's cache occupation as the scheduling decision parameter to ensure the fairness of scheduling across multiple VCs, results in a smaller maximum frame residual. On the other hand, EAMA, with its slot preemption capability, demonstrates better scheduling fairness than FAMA. ### Transmission Efficiency

The channel transmission efficiency is calculated as the ratio of the effective bits transmitted to the total bits transmitted in the channel. The simulation results of the channel transmission efficiency under three algorithms are shown in Figure 5.

From the figure, it can be observed that the EAMA algorithm proposed in this paper achieves higher channel transmission efficiency under both the normal condition and the stressed condition, especially when the processing speed is below the network load, maintaining a transmission efficiency of over 90%. When the processing speed is \(0.5\times 10^{3}\) frames/s, the transmission efficiency of EAMA is improved by 45.8% and 17.9% compared to TAMA and FAMA, respectively, under the stressed condition. At the same time, it can be seen that EAMA maintains high stability under different working conditions. This improvement is attributed to the optimization of multiplexing efficiency in the EAMA algorithm, which adopts an elastic slot scheduling strategy. This strategy enhances the multiplexing efficiency at the frame multiplexing layer and significantly reduces the generation of padding frames at the virtual channel multiplexing layer, thereby improving the overall transmission efficiency of the AOS channel. ## 6 Conclusions

This paper addresses the pressing need for the efficient transmission of increasingly complex and diverse space network data over AOS links. A comprehensive AOS virtual channel multiplexing model is developed based on three different types of services with

Figure 5: Channel transmission efficiency. distinct characteristics. An efficient network AOS integrated multiplexing algorithm based on elastic time slots is then proposed. Within the frame multiplexing layer and the virtual channel multiplexing layer, efficient multiplexing algorithms are designed to accommodate the unique traffic characteristics of each service type. At the decision layer, an elastic time slot scheduling strategy is applied to seamlessly integrate the multiplexing algorithms, further optimizing the overall efficiency of the system. It should be noted that changes to the protocol will lead to an increased computation time, and different algorithms are required to detect packets in noisy environments. The following conclusions can be drawn:

Based on the traditional AOS two-layer multiplexing model, this paper adds a decision-making layer. The upper-layer algorithms can independently match the network traffic characteristics and integrate them together with the decision-making layer, which gives the model stronger flexibility and scalability. This paper classifies the space network into three types of traffic according to its characteristics and carries out theoretical analysis and design of the multiplexing algorithm. Additionally, a slot-preemption-based elastic time slot scheduling strategy is proposed at the decision layer. The performance of the algorithm is verified through simulation. The simulation shows that, compared with the traditional algorithms, the algorithm proposed in this paper has a lower average delay, smaller frame residual amount, and higher channel transmission efficiency, which is more suitable for the effective transmission of multi-type space network traffic. Writing--original draft preparation, H.Z. and Z.Z. ; writing--review and editing, Z.Z., Z.L. and J.C.; validation, J.C.; supervision, Z.J. All authors have read and agreed to the published version of the manuscript. This research received no external funding.