In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks.

Abstract—In this paper, we develop and assess online decision- making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks ...

Apr 28, 2024 · In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite ...

Feb 6, 2024 · In this paper, we propose a two-time-scale collaborative deep reinforcement learning (DRL) scheme for beam management and resource allocation in NTNs.

To address this issue, in this paper, we propose a two-time-scale collaborative deep reinforcement learning (DRL) scheme for beam management and resource ...

Mar 8, 2024 · This paper proposes a resource allocation strategy based on deep reinforcement learning. The strategy takes the weighted sum of spectral efficiency, energy ...

Mar 1, 2024 · This paper considers the joint optimization of resource allocation and power control for rate-splitting multiple access (RSMA) based low ...

Dec 12, 2020 · This paper proposes a network architecture of LEO satellite that utilizes a centralized resource pool and designs a combination allocation of fixed channel ...

This study introduces a resource allocation framework for integrated satellite–terrestrial networks to address these challenges.

We propose a Fast-Convergence Reinforcement Learning Satellite Routing Algorithm (FRL–SR) for LEO satellite networks, where the satellite can quickly obtain ...