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Since the next-generation satellite network consisting of various servicefunction domains, such as communication, observation, navigation, etc., ismoving towards large-scale, using single-domain resources is difficult toprovide satisfied and timely service guarantees for the rapidly increasingmission demands of each domain. Breaking the barriers of independence ofresources in each domain, and realizing the cross-domain transmission ofmissions to efficiently collaborate inter-domain resources is a promisingsolution. However, the hybrid scheduling of different missions and thecontinuous increase in the number of service domains have strengthened thedifferences and dynamics of mission demands, making it challenging for anefficient cross-domain mission scheduling (CMS). To this end, this paper firstaccurately characterizes the communication resource state of inter-satellite inreal-time exploiting the sparse resource representation scheme, andsystematically characterizes the differentiation of mission demands byconducting the mission priority model. Based on the information of resourcesand missions, we construct the top- and bottom-layer mission scheduling modelsof reward association exploiting the correlation of intra- and inter-domainmission scheduling and formulate the Markov decision process-based hierarchicalCMS problem. Further, to achieve higher adaptability and autonomy of CMS andefficiently mitigate the impact of network scale, a hierarchical intelligentCMS algorithm is developed to dynamically adjust and efficiently match the CMSpolicy according to different mission demands. Simulation results demonstratethat the proposed algorithm has significant performance gain compared withindependent domains and the existing CMS algorithms, and can still guaranteehigh service performance under different network scales.

Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions