Joint Power Allocation and User Scheduling in Integrated Satellite-Terrestrial Cell-Free Massive MIMO IoT Systems
CoRR(2024)
摘要
Both space and ground communications have been proven effective solutions
under different perspectives in Internet of Things (IoT) networks. This paper
investigates multiple-access scenarios, where plenty of IoT users are
cooperatively served by a satellite in space and access points (APs) on the
ground. Available users in each coherence interval are split into scheduled and
unscheduled subsets to optimize limited radio resources. We compute the uplink
ergodic throughput of each scheduled user under imperfect channel state
information (CSI) and non-orthogonal pilot signals. As maximum-radio combining
is deployed locally at the ground gateway and the APs, the uplink ergodic
throughput is obtained in a closed-form expression. The analytical results
explicitly unveil the effects of channel conditions and pilot contamination on
each scheduled user. By maximizing the sum throughput, the system can
simultaneously determine scheduled users and perform power allocation based on
either a model-based approach with alternating optimization or a learning-based
approach with the graph neural network. Numerical results manifest that
integrated satellite-terrestrial cell-free massive multiple-input
multiple-output systems can significantly improve the sum ergodic throughput
over coherence intervals. The integrated systems can schedule the vast majority
of users; some might be out of service due to the limited power budget.
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