Research on Task-Oriented Dynamic Reconstruction of Space Information Networks

Abstract

Due to its high coverage and communication capacity in battlefield and disaster area, space information networks have become an important apart in the next generation communication system. As the surging demand of burst business in hotspot regions, existing architectures of space information networks lack scalability and cannot meet the demand for high quality of service. This paper first proposes a flexible network architecture with dynamic reconstruction capability. Next, space task sensing and traffic prediction technology are introduced to forecast space task types and acquire the optimization objective of dynamic reconstruction problem. Finally, we formulate the utility and cost functions about different dynamic reconstruction strategies and then select the optimal dynamic reconstruction scheme to satisfy the surging demand of sudden business around the world.

Q. Zhang—This work was supported in part by the National Natural Science Foundation of China (61471236, 61420106008, 61671295), the 111 Project (B07022), and the Shanghai Key Laboratory of Digital Media Processing; it is also partly sponsored by Shanghai Pujiang Program (16PJD029).