Abstract: Deep reinforcement learning (DRL) has been widely used to find optimal routing schemes to meet various demands of users. However, the optimization goal of DRL is typically static, whereas ...

Abstract: In this work, we develop a power allocation policy for low-earth orbit (LEO) satellite communications with uneven traffic distribution. The inter-beam interference is one of the bottlenecks ...

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