  Since the next-generation satellite network consisting of various service
function domains, such as communication, observation, navigation, etc., is
moving towards large-scale, using single-domain resources is difficult to
provide satisfied and timely service guarantees for the rapidly increasing
mission demands of each domain. Breaking the barriers of independence of
resources in each domain, and realizing the cross-domain transmission of
missions to efficiently collaborate inter-domain resources is a promising
solution. However, the hybrid scheduling of different missions and the
continuous increase in the number of service domains have strengthened the
differences and dynamics of mission demands, making it challenging for an
efficient cross-domain mission scheduling (CMS). To this end, this paper first
accurately characterizes the communication resource state of inter-satellite in
real-time exploiting the sparse resource representation scheme, and
systematically characterizes the differentiation of mission demands by
conducting the mission priority model. Based on the information of resources
and missions, we construct the top- and bottom-layer mission scheduling models
of reward association exploiting the correlation of intra- and inter-domain
mission scheduling and formulate the Markov decision process-based hierarchical
CMS problem. Further, to achieve higher adaptability and autonomy of CMS and
efficiently mitigate the impact of network scale, a hierarchical intelligent
CMS algorithm is developed to dynamically adjust and efficiently match the CMS
policy according to different mission demands. Simulation results demonstrate
that the proposed algorithm has significant performance gain compared with
independent domains and the existing CMS algorithms, and can still guarantee
high service performance under different network scales.
