Resource Slicing with Cross-Cell Coordination in Satellite-Terrestrial Integrated Networks
arxiv(2024)
摘要
Satellite-terrestrial integrated networks (STIN) are envisioned as a
promising architecture for ubiquitous network connections to support
diversified services. In this paper, we propose a novel resource slicing scheme
with cross-cell coordination in STIN to satisfy distinct service delay
requirements and efficient resource usage. To address the challenges posed by
spatiotemporal dynamics in service demands and satellite mobility, we formulate
the resource slicing problem into a long-term optimization problem and propose
a distributed resource slicing (DRS) scheme for scalable and flexible resource
management across different cells. Specifically, a hybrid data-model co-driven
approach is developed, including an asynchronous multi-agent reinforcement
learning-based algorithm to determine the optimal satellite set serving each
cell and a distributed optimization-based algorithm to make the resource
reservation decisions for each slice. Simulation results demonstrate that the
proposed scheme outperforms benchmark methods in terms of resource usage and
delay performance.
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