# Distributed Resources Allocation Method for Space-Ground Integrated Mobile Communication System
## 7 Discussions and Conclusions  
The proposed integrated space-ground communication system architecture represents a significant advancement in addressing the challenges of future communication networks, particularly in managing user surge and reducing network overhead. By combining terrestrial cellular networks, drone networks and satellite networks with slicing technology, our architecture offers a versatile solution that enhances network efficiency and reliability.  
This study introduces a novel marginal MS-assisted network resource allocation architecture. Leveraging cellular network slicing technology, it dynamically manages user demands and network conditions. Integration of the DP-DQN model enhances real-time resource allocation decisions for MS, optimizing performance. Furthermore, our proposed feedback method ensures the accuracy and adaptability of the marginalization model, crucial for maintaining optimal network performance in dynamic environments. Through extensive simulations, our DP-DQN-based edge decision method demonstrates superior performance in reducing core network overhead and improving access success rates compared to conventional approaches.  
As for the analysis of the DP-DQN model in the numerical results section, we found that taking the location information of mobile devices into account significantly improved  
Figure 10: (**a**) User panel overhead of proposed slicing method with different user amounts. (**b**) Control panel overhead of proposed slicing method with different user amounts. In the figure, we compare our proposed approach to the current mainstream solution, which can better reduce the network overhead with the same amount of resources and users.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Parameter** & **Average Value** \\ \hline CPU utilization & 0.62 \\ CPU base speed & 2.80 GHz \\ CPU speed & 3.62 GHz \\ L1 D-cache & 320 KB \\ L2 D-cache & 5.0 MB \\ L3 D-cache & 12.0 MB \\ \hline \hline \end{tabular}
\end{table}
Table 5: Summary of CPU parameters during simulation.  
the resource utilization of each network. Also, in terms of network slicing, including different physical channels into the type of network slices also helps to improve the degree of integration of the system. At the same time, using the new distributed MS-assisted resource decision model, the system overhead (especially the control panel) is greatly reduced, which gives us reason to believe that in the future communication system, compared with the traditional centralized control, distributed decision-making will have a better prospect.  
This study identifies promising future research directions for space-ground integrated systems. Our architecture's scalability and adaptability extend its applicability beyond traditional networks to smart cities, disaster response, and remote sensing. As demand for seamless connectivity grows, our approach lays a robust foundation for efficient and resilient communication infrastructures. This research advances communication systems by innovatively addressing network resource allocation and decision-making, bridging terrestrial and satellite networks. Our next steps focus on enhancing system integration through improved methods for acquiring and utilizing MS navigation and remote sensing data.  
Conceptualization, T.Z.; Methodology, T.Z.; Software, T.Z.; Validation, T.Z.; Formal analysis, T.Z.; Investigation, T.Z.; Writing--original draft, T.Z.; Supervision, Z.L.; Project administration, T.Z.; Funding acquisition, Z.L. All authors have read and agreed to the published version of the manuscript.  
This research was funded by Natural Science Foundation of Chongqing, grant number CSTB2023 NSCQ-LMX0033, and Science and Technology Research Program of Chongqing Municipal Education Commission, grant number KJQN202300646.  
Not applicable.  
Data Availability Statement: Data are contained within the article.  
The authors declare no conflicts of interest.